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55
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stringlengths 9
332
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290
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4.36M
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2.2M
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9.57k
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4.2k
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| CountClassCoupled
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5.37k
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4.2k
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
143,048 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/kwd.py
|
pynmea2.types.proprietary.kwd.KLD
|
class KLD(nmea.ProprietarySentence):
sentence_types = {}
def __new__(_cls, manufacturer, data):
name = manufacturer + data[0]
cls = _cls.sentence_types.get(name, _cls)
return super(KLD, cls).__new__(cls)
def __init__(self, manufacturer, data):
self.sentence_type = manufacturer + data[0]
super(KLD, self).__init__(manufacturer, data)
|
class KLD(nmea.ProprietarySentence):
def __new__(_cls, manufacturer, data):
pass
def __init__(self, manufacturer, data):
pass
| 3 | 0 | 4 | 0 | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 1 | 2 | 12 | 11 | 2 | 9 | 7 | 6 | 0 | 9 | 7 | 6 | 1 | 3 | 0 | 2 |
143,049 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/mgn.py
|
pynmea2.types.proprietary.mgn.MGN
|
class MGN(nmea.ProprietarySentence):
sentence_types = {}
def __new__(_cls, manufacturer, data):
name = manufacturer + data[0]
cls = _cls.sentence_types.get(name, _cls)
return super(MGN, cls).__new__(cls)
def __init__(self, manufacturer, data):
self.sentence_type = manufacturer + data[0]
super(MGN, self).__init__(manufacturer, data)
|
class MGN(nmea.ProprietarySentence):
def __new__(_cls, manufacturer, data):
pass
def __init__(self, manufacturer, data):
pass
| 3 | 0 | 4 | 0 | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 1 | 2 | 12 | 11 | 2 | 9 | 7 | 6 | 0 | 9 | 7 | 6 | 1 | 3 | 0 | 2 |
143,050 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/grm.py
|
pynmea2.types.proprietary.grm.GRMZ
|
class GRMZ(GRM):
""" GARMIN Altitude Information
"""
fields = (
("Subtype", "subtype"),
("Altitude", "altitude", Decimal),
("Altitude Units (Feet)", "altitude_unit"),
("Positional Fix Dimension (2=user, 3=GPS)", "pos_fix_dim"),
)
|
class GRMZ(GRM):
''' GARMIN Altitude Information
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 0 | 7 | 2 | 6 | 2 | 2 | 2 | 1 | 0 | 4 | 0 | 0 |
143,051 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/grm.py
|
pynmea2.types.proprietary.grm.GRMM
|
class GRMM(GRM):
""" GARMIN Map Datum
"""
fields = (
("Subtype", "subtype"),
('Currently Active Datum', 'datum'),
)
|
class GRMM(GRM):
''' GARMIN Map Datum
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 0 | 5 | 2 | 4 | 2 | 2 | 2 | 1 | 0 | 4 | 0 | 0 |
143,052 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/grm.py
|
pynmea2.types.proprietary.grm.GRME
|
class GRME(GRM):
""" GARMIN Estimated position error
"""
fields = (
("Subtype", "subtype"),
("Estimated Horiz. Position Error", "hpe", Decimal),
("Estimated Horiz. Position Error Unit (M)", "hpe_unit"),
("Estimated Vert. Position Error", "vpe", Decimal),
("Estimated Vert. Position Error Unit (M)", "vpe_unit"),
("Estimated Horiz. Position Error", "osepe", Decimal),
("Overall Spherical Equiv. Position Error", "osepe_unit"),
)
|
class GRME(GRM):
''' GARMIN Estimated position error
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 12 | 0 | 10 | 2 | 9 | 2 | 2 | 2 | 1 | 0 | 4 | 0 | 0 |
143,053 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/grm.py
|
pynmea2.types.proprietary.grm.GRM
|
class GRM(nmea.ProprietarySentence):
sentence_types = {}
def __new__(_cls, manufacturer, data):
name = manufacturer + data[0]
cls = _cls.sentence_types.get(name, _cls)
return super(GRM, cls).__new__(cls)
def __init__(self, manufacturer, data):
self.sentence_type = manufacturer + data[0]
super(GRM, self).__init__(manufacturer, data)
|
class GRM(nmea.ProprietarySentence):
def __new__(_cls, manufacturer, data):
pass
def __init__(self, manufacturer, data):
pass
| 3 | 0 | 4 | 0 | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 4 | 2 | 1 | 2 | 12 | 11 | 2 | 9 | 7 | 6 | 0 | 9 | 7 | 6 | 1 | 3 | 0 | 2 |
143,054 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.AAM
|
class AAM(TalkerSentence):
""" Waypoint Arrival Alarm
"""
fields = (
("Arrival Circle Entered", "arrival_circ_entered"),
("Perpendicular Passed", "perp_passed"),
("Circle Radius", "circle_rad"),
("Nautical Miles", "circle_rad_unit"),
("Waypoint ID", "waypoint_id"),
)
|
class AAM(TalkerSentence):
''' Waypoint Arrival Alarm
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 8 | 2 | 7 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,055 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/fec.py
|
pynmea2.types.proprietary.fec.FECGPatt
|
class FECGPatt(FEC):
"""
Furuno GPatt Message
$PFEC,GPatt,aaa.a,bb.b,cc.c,*hh<CR><LF>
$PFEC: Talker identifier + sentence formatter*
GPatt: Global positioning attitude, sentence formatter
aaa.a: Yaw (degrees)*
bb.b: Pitch (degrees)*
cc.c: Roll (degrees)*
*hh: Checksum*
"""
fields = (
('R', '_r'),
('Subtype', 'subtype'),
('Yaw', 'yaw', float),
('Pitch', 'pitch', float),
('Roll', 'roll', float),
)
|
class FECGPatt(FEC):
'''
Furuno GPatt Message
$PFEC,GPatt,aaa.a,bb.b,cc.c,*hh<CR><LF>
$PFEC: Talker identifier + sentence formatter*
GPatt: Global positioning attitude, sentence formatter
aaa.a: Yaw (degrees)*
bb.b: Pitch (degrees)*
cc.c: Roll (degrees)*
*hh: Checksum*
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 19 | 1 | 8 | 2 | 7 | 10 | 2 | 2 | 1 | 0 | 4 | 0 | 0 |
143,056 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/fec.py
|
pynmea2.types.proprietary.fec.FEC
|
class FEC(nmea.ProprietarySentence):
sentence_types = {}
def __new__(_cls, manufacturer, data):
name = manufacturer + data[1]
cls = _cls.sentence_types.get(name, _cls)
return super(FEC, cls).__new__(cls)
|
class FEC(nmea.ProprietarySentence):
def __new__(_cls, manufacturer, data):
pass
| 2 | 0 | 4 | 0 | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 2 | 1 | 0 | 1 | 11 | 7 | 1 | 6 | 5 | 4 | 0 | 6 | 5 | 4 | 1 | 3 | 0 | 1 |
143,057 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/ash.py
|
pynmea2.types.proprietary.ash.ASHRVEL
|
class ASHRVEL(ASH):
'''
Ashtech VEL Message
'''
fields = (
('R', '_r'),
('Subtype', 'subtype'),
('ENU', 'enu', int),
('Timestamp', 'timestamp', timestamp),
('Easting', 'easting', Decimal),
('Northing', 'northing', Decimal),
('Vertical Velocity', 'vertical', Decimal),
('Easting RMS', 'easting_rms', Decimal),
('Northing RMS', 'northing_rms', Decimal),
('Vertical RMS', 'vertical_rms', Decimal),
('Applied effective velocity smoothing interval (ms)', 'smoothing', Decimal),
)
|
class ASHRVEL(ASH):
'''
Ashtech VEL Message
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.21 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 17 | 0 | 14 | 2 | 13 | 3 | 2 | 2 | 1 | 0 | 4 | 0 | 0 |
143,058 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/ash.py
|
pynmea2.types.proprietary.ash.ASHRPOS
|
class ASHRPOS(ASH, LatLonFix):
'''
Ashtech POS Message
'''
fields = (
('R', '_r'),
('Subtype', 'subtype'),
('Solution Type', 'mode', int),
('Satellites used in Solution', 'sat_count', int),
('Timestamp', 'timestamp', timestamp),
('Latitude', 'lat'),
('Latitude Direction', 'lat_dir'),
('Longitude', 'lon'),
('Longitude Direction', 'lon_dir'),
('Altitude above WGS84 ellipsoid, meters', 'altitude'),
('Empty', '__'),
("True Track/Course Over Ground", "course", float),
("Speed Over Ground", "spd_over_grnd", float),
('Vertical Velocity', 'vertical_velocity', Decimal),
('PDOP', 'pdop', float),
('HDOP', 'hdop', float),
('VDOP', 'vdop', float),
('TDOP', 'tdop', float),
('Base station ID', 'station_id', int)
)
|
class ASHRPOS(ASH, LatLonFix):
'''
Ashtech POS Message
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.14 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 25 | 0 | 22 | 2 | 21 | 3 | 2 | 2 | 1 | 0 | 4 | 0 | 0 |
143,059 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/ash.py
|
pynmea2.types.proprietary.ash.ASHRLTN
|
class ASHRLTN(ASH):
'''
Ashtech LTN Message
'''
fields = (
('R', '_r'),
('Subtype', 'subtype'),
('Latency (ms)', 'latency', int),
)
|
class ASHRLTN(ASH):
'''
Ashtech LTN Message
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 0 | 6 | 2 | 5 | 3 | 2 | 2 | 1 | 0 | 4 | 0 | 0 |
143,060 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/proprietary/grm.py
|
pynmea2.types.proprietary.grm.GRMW
|
class GRMW(GRM):
""" GARMIN Waypoint Information
https://www8.garmin.com/support/pdf/NMEA_0183.pdf
https://github.com/wb2osz/direwolf/blob/master/waypoint.c
$PGRMW,wname,alt,symbol,comment*99
Where,
wname is waypoint name. Must match existing waypoint.
alt is altitude in meters.
symbol is symbol code. Hexadecimal up to FFFF.
See Garmin Device Interface Specification
001-0063-00 for values of "symbol_type."
comment is comment for the waypoint.
*99 is checksum
"""
fields = (
("Subtype", "subtype"),
("Waypoint Name", "wname"),
("Altitude", "altitude", Decimal),
("Symbol", "symbol"),
("Comment", "comment"),
)
|
class GRMW(GRM):
''' GARMIN Waypoint Information
https://www8.garmin.com/support/pdf/NMEA_0183.pdf
https://github.com/wb2osz/direwolf/blob/master/waypoint.c
$PGRMW,wname,alt,symbol,comment*99
Where,
wname is waypoint name. Must match existing waypoint.
alt is altitude in meters.
symbol is symbol code. Hexadecimal up to FFFF.
See Garmin Device Interface Specification
001-0063-00 for values of "symbol_type."
comment is comment for the waypoint.
*99 is checksum
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.63 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 23 | 2 | 8 | 2 | 7 | 13 | 2 | 2 | 1 | 0 | 4 | 0 | 0 |
143,061 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.ALK
|
class ALK(TalkerSentence,SeaTalk):
fields = (
("Command", "cmd"),
("Data Byte 1", "data_byte1"),
("Data Byte 2", "data_byte2"),
("Data Byte 3", "data_byte3"),
("Data Byte 4", "data_byte4"),
("Data Byte 5", "data_byte5"),
("Data Byte 6", "data_byte6"),
("Data Byte 7", "data_byte7"),
("Data Byte 8", "data_byte8"),
("Data Byte 9", "data_byte9")
)
|
class ALK(TalkerSentence,SeaTalk):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | 0 | 13 | 2 | 12 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,062 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.HEV
|
class HEV(TalkerSentence):
"""
Heave
"""
fields = (("Heave", "heave", float),)
|
class HEV(TalkerSentence):
'''
Heave
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 0 | 2 | 2 | 1 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,063 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.STN
|
class STN(TalkerSentence):
""" NOTE: No real data could be found for examples of the actual spec so
it is a guess that there may be a checksum on the end
"""
fields = (
("Talker ID Number", "talker_id_num"),
)
|
class STN(TalkerSentence):
''' NOTE: No real data could be found for examples of the actual spec so
it is a guess that there may be a checksum on the end
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 0 | 4 | 2 | 3 | 4 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,064 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.RSA
|
class RSA(TalkerSentence):
""" Rudder Sensor Angle
"""
fields = (
("Starboard rudder sensor", "rsa_starboard", Decimal),
("Starboard rudder sensor status", "rsa_starboard_status"),
("Port rudder sensor", "rsa_port", Decimal),
("Port rudder sensor status", "rsa_port_status"),
)
|
class RSA(TalkerSentence):
''' Rudder Sensor Angle
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 0 | 7 | 2 | 6 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,065 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.RPM
|
class RPM(TalkerSentence, ValidStatusFix):
""" Revolutions
"""
# 1 2 3 4 5 6
# | | | | | |
# $--RPM,a,x,x.x,x.x,A*hh<CR><LF>
# Field Number:
# 1) Sourse, S = Shaft, E = Engine
# 2) Engine or shaft number
# 3) Speed, Revolutions per minute
# 4) Propeller pitch, % of maximum, "-" means astern
# 5) Status, A means data is valid
# 6) Checksum
fields = (
("Source", "source"), #S = Shaft, E = Engine
("Engine or shaft number", "engine_no", int),
("Speed", "speed", float), #RPM
("Propeller pitch", "pitch"), #- means astern
("Status", "status"), #A means valid
)
|
class RPM(TalkerSentence, ValidStatusFix):
''' Revolutions
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 22 | 2 | 8 | 2 | 7 | 16 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,066 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.ROT
|
class ROT(TalkerSentence, ValidStatusFix):
""" Rate of Turn
"""
fields = (
("Rate of turn", "rate_of_turn"), #- indicates bow turn to port
('Status', 'status'), # contains the 'A' or 'B' flag
)
|
class ROT(TalkerSentence, ValidStatusFix):
''' Rate of Turn
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.8 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 0 | 5 | 2 | 4 | 4 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,067 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.RMC
|
class RMC(TalkerSentence, ValidRMCStatusFix, LatLonFix, DatetimeFix):
""" Recommended Minimum Specific GPS/TRANSIT Data
"""
fields = (
("Timestamp", "timestamp", timestamp),
('Status', 'status'), # contains the 'A' or 'V' flag
("Latitude", "lat"),
("Latitude Direction", "lat_dir"),
("Longitude", "lon"),
("Longitude Direction", "lon_dir"),
("Speed Over Ground", "spd_over_grnd", float),
("True Course", "true_course", float),
("Datestamp", "datestamp", datestamp),
("Magnetic Variation", "mag_variation"),
("Magnetic Variation Direction", "mag_var_dir"),
("Mode Indicator", "mode_indicator"),
("Navigational Status", "nav_status"),
)
|
class RMC(TalkerSentence, ValidRMCStatusFix, LatLonFix, DatetimeFix):
''' Recommended Minimum Specific GPS/TRANSIT Data
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.19 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 18 | 0 | 16 | 2 | 15 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,068 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.RMB
|
class RMB(TalkerSentence, ValidStatusFix):
""" Recommended Minimum Navigation Information
"""
fields = (
('Status', 'status'), # contains the 'A' or 'V' flag
("Cross Track Error", "cross_track_error"), # nautical miles, 9.9 max
("Cross Track Error, direction to corrent", "cte_correction_dir"),
("Origin Waypoint ID", "origin_waypoint_id"),
("Destination Waypoint ID", "dest_waypoint_id"),
("Destination Waypoint Latitude", "dest_lat"),
("Destination Waypoint Lat Direction", "dest_lat_dir"),
("Destination Waypoint Longitude", "dest_lon"),
("Destination Waypoint Lon Direction", "dest_lon_dir"),
("Range to Destination", "dest_range"), # Nautical Miles
("True Bearing to Destination", "dest_true_bearing"),
("Velocity Towards Destination", "dest_velocity"), # Knots
("Arrival Alarm", "arrival_alarm"),
)
|
class RMB(TalkerSentence, ValidStatusFix):
''' Recommended Minimum Navigation Information
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.44 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 18 | 0 | 16 | 2 | 15 | 7 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,069 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.RMA
|
class RMA(TalkerSentence):
fields = (
("Data status", "data_status"),
("Latitude", "lat"),
("Latitude Direction", "lat_dir"),
("Longitude", "lon"),
("Longitude Direction", "lon_dir"),
("Not Used 1", "not_used_1"),
("Not Used 2", "not_used_2"),
("Speed over ground", "spd_over_grnd"), # Knots
("Course over ground", "crse_over_grnd"),
("Variation", "variation"),
("Variation Direction", "var_dir"),
)
|
class RMA(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 14 | 0 | 14 | 2 | 13 | 1 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,070 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.RTE
|
class RTE(TalkerSentence):
""" Routes
"""
fields = (
("Number of sentences in sequence", "num_in_seq"),
("Sentence Number", "sen_num"),
("Start Type", "start_type"), # The first in the list is either current route or waypoint
("Name or Number of Active Route", "active_route_id"),
)
@property
def waypoint_list(self):
return self.data[4:]
@waypoint_list.setter
def waypoint_list(self, val):
self.data[4:] = val
|
class RTE(TalkerSentence):
''' Routes
'''
@property
def waypoint_list(self):
pass
@waypoint_list.setter
def waypoint_list(self):
pass
| 5 | 1 | 2 | 0 | 2 | 0 | 1 | 0.23 | 1 | 0 | 0 | 0 | 2 | 0 | 2 | 12 | 17 | 2 | 13 | 6 | 8 | 3 | 6 | 4 | 3 | 1 | 3 | 0 | 2 |
143,071 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.R00
|
class R00(TalkerSentence):
fields = ()
@property
def waypoint_list(self):
return self.data[:]
@waypoint_list.setter
def waypoint_list(self, val):
self.data[:] = val
|
class R00(TalkerSentence):
@property
def waypoint_list(self):
pass
@waypoint_list.setter
def waypoint_list(self):
pass
| 5 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 2 | 12 | 9 | 1 | 8 | 6 | 3 | 0 | 6 | 4 | 3 | 1 | 3 | 0 | 2 |
143,072 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.MWV
|
class MWV(TalkerSentence, ValidStatusFix):
""" Wind Speed and Angle
NMEA 0183 standard Wind Speed and Angle, in relation to the vessel's
bow/centerline.
"""
fields = (
("Wind angle", "wind_angle", Decimal), # in relation to vessel's centerline
("Reference", "reference"), # relative (R)/true(T)
("Wind speed", "wind_speed", Decimal),
("Wind speed units", "wind_speed_units"), # K/M/N
("Status", "status"),
)
|
class MWV(TalkerSentence, ValidStatusFix):
''' Wind Speed and Angle
NMEA 0183 standard Wind Speed and Angle, in relation to the vessel's
bow/centerline.
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.88 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 12 | 0 | 8 | 2 | 7 | 7 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,073 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.MWD
|
class MWD(TalkerSentence):
""" Wind Direction
NMEA 0183 standard Wind Direction and Speed, with respect to north.
"""
fields = (
("Wind direction true", "direction_true", Decimal),
("True", "true"),
("Wind direction magnetic", "direction_magnetic", Decimal),
("Magnetic", "magnetic"),
("Wind speed knots", "wind_speed_knots", Decimal),
("Knots", "knots"),
("Wind speed meters/second", "wind_speed_meters", Decimal),
("Wind speed", "meters"),
)
|
class MWD(TalkerSentence):
''' Wind Direction
NMEA 0183 standard Wind Direction and Speed, with respect to north.
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.27 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 14 | 0 | 11 | 2 | 10 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,074 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.MTW
|
class MTW(TalkerSentence):
""" Water Temperature
"""
fields = (
('Water temperature', 'temperature', Decimal),
('Unit of measurement', 'units'),
)
|
class MTW(TalkerSentence):
''' Water Temperature
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 0 | 5 | 2 | 4 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,075 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.MTA
|
class MTA(TalkerSentence):
""" Air Temperature (to be phased out)
"""
fields = (
("Air temperature", "temperature", Decimal),
("Units of measurement", "units"),
)
|
class MTA(TalkerSentence):
''' Air Temperature (to be phased out)
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 0 | 5 | 2 | 4 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,076 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.LAU
|
class LAU(TalkerSentence):
fields = (
("RX","RX"),
("TX","TX"),
("GPS","GPS"),
("Power","Power"),
("AlarmLevel","AlarmLevel"),
("RelativeBearing","RelativeBearing"),
("AlarmType","AlarmType"),
("RelativeVertial","RelativeVertical"),
("RelativeDistance","RelativeDistance"),
)
|
class LAU(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | 1 | 12 | 2 | 11 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,077 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.LAA
|
class LAA(TalkerSentence):
fields = (
("AlarmLevel","AlarmLevel"),
("RelativeNorth","RelativeNorth"),
("RelativeEast","RelativeEast"),
("RelativeVertical","RelativeVertical"),
("ID-Type","ID-Type"),
("ID","ID"),
("Track","Track"),
("TurnRate","TurnRate"),
("GroundSpeed","GroundSpeed"),
("ClimbRate","ClimbRate"),
("Type","Type"),
)
|
class LAA(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 14 | 0 | 14 | 2 | 13 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,078 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.OSD
|
class OSD(TalkerSentence, ValidStatusFix):
""" Own Ship Data
"""
fields = (
("True Heading", "heading", Decimal),
("Status", "status"), # A / V
("Vessel Course true degrees", "course", Decimal),
("Course True", "course_true"), # T / R (True / Relative)
("Vessel Speed", "speed", Decimal),
("Speed Reference", "speed_ref"),
("Vessel Set true degrees", "set", Decimal),
("Vessel Drift(speed)", "drift", Decimal),
("Speed Units", "speed_unit"),
)
|
class OSD(TalkerSentence, ValidStatusFix):
''' Own Ship Data
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.33 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 14 | 0 | 12 | 2 | 11 | 4 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,079 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.TLL
|
class TLL(TalkerSentence, LatLonFix):
""" Target Latitude & Longitude
"""
fields = (
("Target Number", "target_number", int),
("Target Latitude", "lat"),
("Latitude Direction", "lat_dir"),
("Target Longitude", "lon"),
("Longitude Direction", "lon_dir"),
("Target Name", "target_name"),
("Timestamp (UTC)", "timestamp", timestamp),
("Target Status", "target_status"),
("Reference Target", "reference"),
)
|
class TLL(TalkerSentence, LatLonFix):
''' Target Latitude & Longitude
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.17 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 14 | 0 | 12 | 2 | 11 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,080 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.TRF
|
class TRF(TalkerSentence):
""" Transit Fix Data
"""
fields = (
("Timestamp (UTC)", "timestamp", timestamp),
("Date (DD/MM/YY", "date"),
("Latitude", "lat"),
("Latitude Direction", "lat_dir"),
("Longitude", "lon"),
("Longitude Direction", "lon_dir"),
("Elevation Angle", "ele_angle"),
("Number of Iterations", "num_iterations"),
("Number of Doppler Intervals", "num_doppler_intervals"),
("Update Distance", "update_dist"), # Nautical Miles
("Satellite ID", "sat_id"),
)
|
class TRF(TalkerSentence):
''' Transit Fix Data
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.21 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 16 | 0 | 14 | 2 | 13 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,081 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.TTM
|
class TTM(TalkerSentence):
""" Tracked Target Message
"""
fields = (
("Target Number", "target_number", int),
("Target Distance", "distance", Decimal),
("Bearing from Own Ship", "bearing", Decimal),
("Bearing Reference", "brg_ref"), # T / R (True / Relative)
("Target Speed", "speed", Decimal),
("Target Course over Ground", "cog", Decimal),
("Course Units", "cog_unit"), # T / R (True / Relative)
("Distance of CPA", "dist_cpa", Decimal),
("Time until CPA", "time_cpa", Decimal),
("Distance Units", "dist_unit"), # K / N / S (Kilometers / Knots / Statute miles)
("Target Name", "name"),
("Target Status", "status"), # L / Q / T (Lost from tracking process / Query - in process of acquisition / Tracking at the present time)
("Target Reference", "reference"), # R, null otherwise
("Timestamp (UTC)", "timestamp", timestamp),
("Acquisition Type", "acquisition"), # A / M (Automatic / Manual)
)
|
class TTM(TalkerSentence):
''' Tracked Target Message
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.44 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 20 | 0 | 18 | 2 | 17 | 8 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,082 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.ZDA
|
class ZDA(TalkerSentence, DatetimeFix):
fields = (
("Timestamp", "timestamp", timestamp), # hhmmss.ss = UTC
("Day", "day", int), # 01 to 31
("Month", "month", int), # 01 to 12
("Year", "year", int), # Year = YYYY
("Local Zone Description", "local_zone", int), # 00 to +/- 13 hours
("Local Zone Minutes Description", "local_zone_minutes", int), # same sign as hours
)
@property
def datestamp(self):
return datetime.date(year=self.year, month=self.month, day=self.day)
@property
def tzinfo(self):
return TZInfo(self.local_zone, self.local_zone_minutes)
@property
def localdatetime(self):
d = datetime.datetime.combine(self.datestamp, self.timestamp)
return d.astimezone(self.tzinfo)
|
class ZDA(TalkerSentence, DatetimeFix):
@property
def datestamp(self):
pass
@property
def tzinfo(self):
pass
@property
def localdatetime(self):
pass
| 7 | 0 | 2 | 0 | 2 | 0 | 1 | 0.32 | 2 | 3 | 1 | 0 | 3 | 2 | 3 | 14 | 22 | 3 | 19 | 10 | 12 | 6 | 9 | 6 | 5 | 1 | 3 | 0 | 3 |
143,083 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.XTE
|
class XTE(TalkerSentence):
""" Cross-Track Error, Measured
"""
fields = (
("General Warning Flag", "warning_flag"),
("Lock flag (Not Used)", "lock_flag"),
("Cross Track Error Distance", "cross_track_err_dist"),
("Correction Direction (L or R)", "correction_dir"),
("Distance Units", "dist_units"),
)
|
class XTE(TalkerSentence):
''' Cross-Track Error, Measured
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 8 | 2 | 7 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,084 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.XDR
|
class XDR(TalkerSentence):
fields = (
("Transducer type", "type"),
("Transducer data value", "value"),
("Transducer data units", "units"),
("Transducer ID", "id"),
)
@property
def num_transducers(self):
return len(self.data) // 4
def get_transducer(self, i):
return Transducer(*self.data[i*4:i*4+4])
|
class XDR(TalkerSentence):
@property
def num_transducers(self):
pass
def get_transducer(self, i):
pass
| 4 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 2 | 12 | 14 | 2 | 12 | 5 | 8 | 0 | 6 | 4 | 3 | 1 | 3 | 0 | 2 |
143,085 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.WPL
|
class WPL(TalkerSentence):
""" Waypoint Location
"""
fields = (
("Latitude", "lat"),
("Latitude Direction", "lat_dir"),
("Longitude", "lon"),
("Longitude Direction", "lon_dir"),
("Waypoint ID", "waypoint_id"),
)
|
class WPL(TalkerSentence):
''' Waypoint Location
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 8 | 2 | 7 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,086 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.WNC
|
class WNC(TalkerSentence):
""" Distance, Waypoint to Waypoint
"""
fields = (
("Distance, Nautical Miles", "dist_nautical_miles"),
("Distance Nautical Miles Unit", "dist_naut_unit"),
("Distance, Kilometers", "dist_km"),
("Distance, Kilometers Unit", "dist_km_unit"),
("Origin Waypoint ID", "waypoint_origin_id"),
("Destination Waypoint ID", "waypoint_dest_id"),
)
|
class WNC(TalkerSentence):
''' Distance, Waypoint to Waypoint
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | 0 | 9 | 2 | 8 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,087 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.WCV
|
class WCV(TalkerSentence):
""" Waypoint Closure Velocity
"""
fields = (
("Velocity", "velocity"),
("Velocity Units", "vel_units"), # Knots
("Waypoint ID", "waypoint_id"),
)
|
class WCV(TalkerSentence):
''' Waypoint Closure Velocity
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 0 | 6 | 2 | 5 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,088 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.VWT
|
class VWT(TalkerSentence):
fields = (
('Wind angle relative to the vessel', 'wind_angle_vessel', Decimal),
('Direction, L=Left, R=Right, relative to the vessel head', 'direction'),
('Wind speed knots', 'wind_speed_knots', Decimal),
('Knots', 'knots'), # N = Knots
('Wind speed meters/second', 'wind_speed_meters', Decimal),
('Meters', 'meters'), # M = Meters/second
('Wind speed km/h', 'wind_speed_km', Decimal),
('Km', 'km'), # K = km/h
)
|
class VWT(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.27 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | 0 | 11 | 2 | 10 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,089 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.VWR
|
class VWR(TalkerSentence):
fields = (
("Degrees Rel", "deg_r", float),
("Left/Right", "l_r"),#R means right
("Wind speed kn", "wind_speed_kn", float),
("Knots", "unit_knots"),#N means knots
("Wind Speed m/s", "wind_speed_ms", float),
("m/s", "unit_ms"),#M means m/s
("Wind Speed Km/h", "wind_speed_km", float),
("Knots", "unit_km"), #K means Km
)
|
class VWR(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.36 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | 0 | 11 | 2 | 10 | 4 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,090 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.VTG
|
class VTG(TalkerSentence):
"""
Track Made Good and Ground Speed
"""
fields = (
("True Track made good", "true_track", float),
("True Track made good symbol", "true_track_sym"),
("Magnetic Track made good", "mag_track", Decimal),
("Magnetic Track symbol", "mag_track_sym"),
("Speed over ground knots", "spd_over_grnd_kts", Decimal),
("Speed over ground symbol", "spd_over_grnd_kts_sym"),
("Speed over ground kmph", "spd_over_grnd_kmph", float),
("Speed over ground kmph symbol", "spd_over_grnd_kmph_sym"),
("FAA mode indicator", "faa_mode"),
)
|
class VTG(TalkerSentence):
'''
Track Made Good and Ground Speed
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 15 | 0 | 12 | 2 | 11 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,091 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.VPW
|
class VPW(TalkerSentence):
""" Speed, Measured Parallel to Wind
"""
fields = (
("Speed knots", "speed_kn", float),#- means downwind
("Unit knots", "unit_knots"),#N means knots
("Speed m/s", "speed_ms", float),
("Unit m/s", "unit_ms"),#M means m/s
)
|
class VPW(TalkerSentence):
''' Speed, Measured Parallel to Wind
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.71 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 0 | 7 | 2 | 6 | 5 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,092 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.VLW
|
class VLW(TalkerSentence):
""" Distance Traveled through the Water
"""
fields = (
('Water trip distance', 'trip_distance', Decimal),
('Trip distance nautical miles', 'trip_distance_miles'),
('Water trip distance since reset', 'trip_distance_reset', Decimal),
('Trip distance nautical miles since reset', 'trip_distance_reset_miles'),
)
|
class VLW(TalkerSentence):
''' Distance Traveled through the Water
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 0 | 7 | 2 | 6 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,093 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.VHW
|
class VHW(TalkerSentence):
""" Water Speed and Heading
"""
fields = (
('Heading true degrees', 'heading_true', Decimal),
('heading true', 'true'),
('Heading Magnetic degrees', 'heading_magnetic', Decimal),
('Magnetic', 'magnetic'),
('Water speed knots', 'water_speed_knots', Decimal),
('Knots', 'knots'),
('Water speed kilometers', 'water_speed_km', Decimal),
('Kilometers', 'kilometers'),
)
|
class VHW(TalkerSentence):
''' Water Speed and Heading
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.18 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | 0 | 11 | 2 | 10 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,094 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.VDR
|
class VDR(TalkerSentence):
fields = (
("Degrees True", "deg_t", float),
("TRUE", "true"),#T means true
("Degrees Magnetic", "deg_m", float),
("Magnetic", "magnetic"),#M means magnetic
("Speed of Current", "current", float),
("Unit", "unit_kn"), #N means knots
)
|
class VDR(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.33 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 0 | 9 | 2 | 8 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,095 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.VBW
|
class VBW(TalkerSentence, ValidVBWFix):
""" Dual Ground/Water Speed
"""
fields = (
("Longitudinal Water Speed", "lon_water_spd", Decimal), # Knots
("Transverse Water Speed", "trans_water_spd", Decimal), # Knots
("Water Speed Data Validity", "data_validity_water_spd"),
("Longitudinal Ground Speed", "lon_grnd_spd", Decimal), # Knots
("Transverse Ground Speed", "trans_grnd_spd", Decimal), # Knots
("Ground Speed Data Validity", "data_validity_grnd_spd"),
)
|
class VBW(TalkerSentence, ValidVBWFix):
''' Dual Ground/Water Speed
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.67 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 9 | 2 | 8 | 6 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,096 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.TXT
|
class TXT(TalkerSentence):
""" Text Transmission
"""
fields = (
("Number of Messages", "num_msg"),
("Message Number", "msg_num"),
("Type of Message", "msg_type"),
("Text", "text"),
)
|
class TXT(TalkerSentence):
''' Text Transmission
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 0 | 7 | 2 | 6 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,097 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.HSC
|
class HSC(TalkerSentence):
""" Heading Steering Command
"""
fields = (
("Heading", "heading_true", Decimal),
("True", "true"),
("Heading Magnetic", "heading_magnetic", Decimal),
("Magnetic", "magnetic"),
)
|
class HSC(TalkerSentence):
''' Heading Steering Command
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 1 | 7 | 2 | 6 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,098 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.HDT
|
class HDT(TalkerSentence):
fields = (
("Heading", "heading", Decimal),
("True", "hdg_true"),
)
|
class HDT(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 0 | 5 | 2 | 4 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,099 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.MDA
|
class MDA(TalkerSentence):
# Example:
# $WIMDA,30.2269,I,1.0236,B,17.7,C,,,43.3,,5.0,C,131.5,T,128.6,M,0.8,N,0.4,M*54
fields = (
('Barometric pressure, inches of mercury', 'b_pressure_inch', Decimal),
('Inches', 'inches'), # I = Inches
('Barometric pressure, bars', 'b_pressure_bar', Decimal),
('Bars', 'bars'), # B = bars
('Air temperature, degrees C', 'air_temp', Decimal),
('Celsius', 'a_celsius'), # C = Celsius
('Water temperature, degrees C', 'water_temp', Decimal),
('Celsius', 'w_celsius'), # C = Celsius
('Relative humidity, percent', 'rel_humidity', Decimal),
('Absolute humidity, percent', 'abs_humidity', Decimal),
('Dew point, degrees C', 'dew_point', Decimal),
('Celsius', 'd_celsius'), # C = Celsius
('Wind direction true', 'direction_true', Decimal),
('True', 'true'), # T = True
('Wind direction magnetic', 'direction_magnetic', Decimal),
('Magnetic', 'magnetic'), # M = Magnetic
('Wind speed knots', 'wind_speed_knots', Decimal),
('Knots', 'knots'), # N = Knots
('Wind speed meters/second', 'wind_speed_meters', Decimal),
('Meters', 'meters'), # M = Meters/second
)
|
class MDA(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.48 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 25 | 0 | 23 | 2 | 22 | 11 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,100 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.HDG
|
class HDG(TalkerSentence):
""" NMEA 0183 standard Heading, Deviation and Variation
Format: $HCHDG,<1>,<2>,<3>,<4>,<5>*hh<CR><LF>
<1> Magnetic sensor heading, degrees, to the nearest 0.1 degree.
<2> Magnetic deviation, degrees east or west, to the nearest 0.1 degree.
<3> E if field <2> is degrees East
W if field <2> is degrees West
<4> Magnetic variation, degrees east or west, to the nearest 0.1 degree.
<5> E if field <4> is degrees East
W if field <4> is degrees West
"""
fields = (
("Heading", "heading", Decimal),
("Deviation", "deviation", Decimal),
("Deviation Direction", "dev_dir"),
("Variation", "variation", Decimal),
("Variation Direction", "var_dir"),
)
|
class HDG(TalkerSentence):
''' NMEA 0183 standard Heading, Deviation and Variation
Format: $HCHDG,<1>,<2>,<3>,<4>,<5>*hh<CR><LF>
<1> Magnetic sensor heading, degrees, to the nearest 0.1 degree.
<2> Magnetic deviation, degrees east or west, to the nearest 0.1 degree.
<3> E if field <2> is degrees East
W if field <2> is degrees West
<4> Magnetic variation, degrees east or west, to the nearest 0.1 degree.
<5> E if field <4> is degrees East
W if field <4> is degrees West
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | 0 | 8 | 2 | 7 | 10 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,101 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.ALM
|
class ALM(TalkerSentence):
""" GPS Almanac data
"""
fields = (
("Total number of messages", "total_num_msgs"),
("Message number", "msg_num"),
("Satellite PRN number", "sat_prn_num"), # 01 - 32
("GPS week number", "gps_week_num"), # Week since Jan 6 1980
("SV Health, bits 17-24 of each almanac page", "sv_health"),
("Eccentricity", "eccentricity"),
("Almanac Reference Time", "alamanac_ref_time"),
("Inclination Angle", "inc_angle"),
("Rate of right ascension", "rate_right_asc"),
("Root of semi-major axis", "root_semi_major_axis"),
("Argument of perigee", "arg_perigee"),
("Longitude of ascension node", "lat_asc_node"),
("Mean anomaly", "mean_anom"),
("F0 Clock parameter", "f0_clock_param"),
("F1 Clock parameter", "f1_clock_param"),
)
|
class ALM(TalkerSentence):
''' GPS Almanac data
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 20 | 0 | 18 | 2 | 17 | 4 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,102 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.HDM
|
class HDM(TalkerSentence):
"""
Heading, Magnetic
"""
fields = (
("Heading degrees", "heading", Decimal),
("Magnetic", "magnetic"),
)
|
class HDM(TalkerSentence):
'''
Heading, Magnetic
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 0 | 5 | 2 | 4 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,103 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.APA
|
class APA(TalkerSentence):
""" Autopilot Sentence "A"
"""
fields = (
("General Status", "status_gen"),
("Cycle lock Status", "status_cycle_lock"),
("Cross Track Error Magnitude", "cross_track_err_mag"),
("Direction to Steer (L or R)", "dir_steer"),
("Cross Track Units (Nautical Miles or KM)", "cross_track_unit"),
("Arrival Circle Entered", "arr_circle_entered"), # A = True
("Perpendicular passed at waypoint", "perp_passed"), # A = True
("Bearing origin to destination", "bearing_to_dest"),
("Bearing type", "bearing_type"), # M = Magnetic, T = True
("Destination waypoint ID", "dest_waypoint_id"),
)
|
class APA(TalkerSentence):
''' Autopilot Sentence "A"
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.38 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 16 | 1 | 13 | 2 | 12 | 5 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,104 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.APB
|
class APB(TalkerSentence):
""" Autopilot Sentence "B"
"""
fields = (
("General Status", "status_gen"),
("Cycle lock Status", "status_cycle_lock"),
("Cross Track Error Magnitude", "cross_track_err_mag"),
("Direction to Steer (L or R)", "dir_steer"),
("Cross Track Units (Nautical Miles or KM)", "cross_track_unit"),
("Arrival Circle Entered", "arr_circle_entered"), # A = True
("Perpendicular passed at waypoint", "perp_passed"), # A = True
("Bearing origin to destination", "bearing_to_dest"),
("Bearing type", "bearing_type"), # M = Magnetic, T = True
("Destination waypoint ID", "dest_waypoint_id"),
("Bearing, present position to dest", "bearing_pres_dest"),
("Bearing to destination, type", "bearing_pres_dest_type"), # M = Magnetic, T = True
("Heading to steer to destination", "heading_to_dest"),
("Heading to steer to destination type", "heading_to_dest_type"),
)
|
class APB(TalkerSentence):
''' Autopilot Sentence "B"
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.41 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 20 | 1 | 17 | 2 | 16 | 7 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,105 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.BEC
|
class BEC(TalkerSentence):
""" Bearing & Distance to Waypoint, Dead Reckoning
"""
fields = (
("Timestamp", "timestamp", timestamp),
("Waypoint Latitude", "waypoint_lat"),
("Waypoint Latitude direction", "waypoint_lat_dir"),
("Waypoint Longitude", "waypoint_lon"),
("Waypoint Longitude direction", "waypoint_lon_dir"),
("Bearing, true", "bearing_true"),
("Bearing True symbol", "bearing_true_sym"), # T = true
("Bearing Magnetic", "bearing_mag"),
("Bearing Magnetic symbol", "bearing_mag_sym"),
("Nautical Miles", "nautical_miles"),
("Nautical Miles symbol", "nautical_miles_sym"),
("Waypoint ID", "waypoint_id"),
("FAA mode indicator", "faa_mode"),
)
|
class BEC(TalkerSentence):
''' Bearing & Distance to Waypoint, Dead Reckoning
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | 0 | 16 | 2 | 15 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,106 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.BOD
|
class BOD(TalkerSentence):
# 045.,T,023.,M,DEST,START
fields = (
('Bearing True', 'bearing_t', Decimal),
('Bearing True Type', 'bearing_t_type'),
('Bearing Magnetic', 'bearing_mag', Decimal),
('Bearing Magnetic Type', 'bearing_mag_type'),
('Destination', 'dest'),
('Start', 'start'),
)
|
class BOD(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 9 | 2 | 8 | 1 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,107 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.BWC
|
class BWC(TalkerSentence):
fields = (
('Timestamp', 'timestamp', timestamp),
('Latitude of next Waypoint', 'lat_next'),
('Latitude of next Waypoint Direction', 'lat_next_direction'),
('Longitude of next Waypoint', 'lon_next'),
('Longitude of next Waypoint Direction', 'lon_next_direction'),
('True track to waypoint', 'true_track'),
('True Track Symbol', 'true_track_sym'),
('Magnetic track to waypoint', 'mag_track'),
('Magnetic Symbol', 'mag_sym'),
('Range to waypoint', 'range_next'),
('Unit of range', 'range_unit'),
('Waypoint Name', 'waypoint_name'),
)
|
class BWC(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 15 | 0 | 15 | 2 | 14 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,108 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.BWR
|
class BWR(TalkerSentence):
fields = (
('Timestamp', 'timestamp', timestamp),
('Latitude of next Waypoint', 'lat_next'),
('Latitude of next Waypoint Direction', 'lat_next_direction'),
('Longitude of next Waypoint', 'lon_next'),
('Longitude of next Waypoint Direction', 'lon_next_direction'),
('True track to waypoint', 'true_track'),
('True Track Symbol', 'true_track_sym'),
('Magnetic track to waypoint', 'mag_track'),
('Magnetic Symbol', 'mag_sym'),
('Range to waypoint', 'range_next'),
('Unit of range', 'range_unit'),
('Waypoint Name', 'waypoint_name'),
)
|
class BWR(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 15 | 0 | 15 | 2 | 14 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,109 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.BWW
|
class BWW(TalkerSentence):
""" Bearing, Waypoint to Waypoint
"""
fields = (
("Bearing degrees True", "bearing_deg_true"),
("Bearing degrees True Symbol", "bearing_deg_true_sym"),
("Bearing degrees Magnitude", "bearing_deg_mag"),
("Bearing degrees Magnitude Symbol", "bearing_deg_mag_sym"),
("Destination Waypoint ID", "waypoint_id_dest"),
("Origin Waypoint ID", "waypoint_id_orig"),
)
|
class BWW(TalkerSentence):
''' Bearing, Waypoint to Waypoint
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | 0 | 9 | 2 | 8 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,110 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.DBS
|
class DBS(TalkerSentence):
fields = (
('Depth below surface, feet', 'depth_feet', Decimal),
('Feets', 'feets'),
('Depth below surface, meters', 'depth_meter', Decimal),
('Meters', 'meters'),
('Depth below surface, fathoms', 'depth_ fathoms', Decimal),
('Fathoms', 'fathoms'),
)
|
class DBS(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 0 | 9 | 2 | 8 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,111 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.DBT
|
class DBT(TalkerSentence):
""" Depth Below Transducer
"""
fields = (
("Depth below surface, feet", "depth_feet", Decimal),
("Feet", "unit_feet"),
("Depth below surface, meters", "depth_meters", Decimal),
("Meters", "unit_meters"),
("Depth below surface, fathoms", "depth_fathoms", Decimal),
("fathoms", "unit_fathoms"),
)
|
class DBT(TalkerSentence):
''' Depth Below Transducer
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | 0 | 9 | 2 | 8 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,112 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.DPT
|
class DPT(TalkerSentence):
fields = (
('Water depth, in meters', 'depth', Decimal),
('Offset from the trasducer, in meters', 'offset', Decimal),
('Maximum range scale in use', 'range', Decimal),
)
|
class DPT(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 0 | 6 | 2 | 5 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,113 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.ALR
|
class ALR(TalkerSentence):
""" Set alarm state
$--ALR,hhmmss.ss,xxx,A,A,c--c*hh<CR><LF>
"""
fields = (
('Time of alarm condition change, UTC', 'timestamp', timestamp),
('Unique alarm number (identifier) at alarm source', 'alarm_num'),
('Alarm condition (A=threshold exceeded, V=not exceeded)', 'alarm_con'),
('Alarm\'s acknowledge state (A=acknowledged, V=unacknowledged)', 'alarm_state'),
('Alarm\'s description text', 'description'),
)
|
class ALR(TalkerSentence):
''' Set alarm state
$--ALR,hhmmss.ss,xxx,A,A,c--c*hh<CR><LF>
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.38 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | 0 | 8 | 2 | 7 | 3 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,114 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.GBS
|
class GBS(TalkerSentence):
fields = (
('Timestamp','timestamp', timestamp),
('Expected error in latitude', 'lat_err'),
('Expected error in longitude', 'lon_err'),
('Expected error in altitude', 'alt_err'),
('PRN of most likely failed satellite','sat_prn_num_f'),
('Probability of missed detection for most likely failed satellite','pro_miss', Decimal),
('Estimate of bias in meters on most likely failed satellite','est_bias'),
('Standard deviation of bias estimate','est_bias_dev'),
)
|
class GBS(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | 0 | 11 | 2 | 10 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,115 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.DTM
|
class DTM(TalkerSentence):
fields = (
('Local datum', 'datum'),
('Subdivision datum', 'subd_datum'),
('Latitude', 'lat'),
('Latitude Direction', 'lat_dir'),
('Longitude', 'lon'),
('Longitude Direction', 'lon_dir'),
('Signed altitude', 'altitude'),
('Datum code', 'datum_code'),
)
|
class DTM(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | 0 | 11 | 2 | 10 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,116 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.GSV
|
class GSV(TalkerSentence):
fields = (
('Number of messages of type in cycle', 'num_messages'),
('Message Number', 'msg_num'),
('Total number of SVs in view', 'num_sv_in_view'),
('SV PRN number 1', 'sv_prn_num_1'),
('Elevation in degrees 1', 'elevation_deg_1'), # 90 max
('Azimuth, deg from true north 1', 'azimuth_1'), # 000 to 159
('SNR 1', 'snr_1'), # 00-99 dB
('SV PRN number 2', 'sv_prn_num_2'),
('Elevation in degrees 2', 'elevation_deg_2'), # 90 max
('Azimuth, deg from true north 2', 'azimuth_2'), # 000 to 159
('SNR 2', 'snr_2'), # 00-99 dB
('SV PRN number 3', 'sv_prn_num_3'),
('Elevation in degrees 3', 'elevation_deg_3'), # 90 max
('Azimuth, deg from true north 3', 'azimuth_3'), # 000 to 159
('SNR 3', 'snr_3'), # 00-99 dB
('SV PRN number 4', 'sv_prn_num_4'),
('Elevation in degrees 4', 'elevation_deg_4'), # 90 max
('Azimuth, deg from true north 4', 'azimuth_4'), # 000 to 159
('SNR 4', 'snr_4'),
)
|
class GSV(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.55 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 22 | 0 | 22 | 2 | 21 | 12 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,117 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.GST
|
class GST(TalkerSentence):
fields = (
('UTC time of the GGA or GNS fix associated with this sentence.', 'timestamp', timestamp),
('RMS value of the standard deviation of the range inputs to the navigation process. Range inputs include preudoranges & DGNSS corrections.', 'rms', float),
('Standard deviation of semi-major axis of error ellipse (meters)', 'std_dev_major', float),
('Standard deviation of semi-minor axis of error ellipse (meters)', 'std_dev_minor', float),
('Orientation of semi-major axis of error ellipse (degrees from true north)', 'orientation', float),
('Standard deviation of latitude error (meters)', 'std_dev_latitude', float),
('Standard deviation of longitude error (meters)', 'std_dev_longitude', float),
('Standard deviation of altitude error (meters)', 'std_dev_altitude', float),
)
|
class GST(TalkerSentence):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | 0 | 11 | 2 | 10 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,118 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.GSA
|
class GSA(TalkerSentence, ValidGSAFix):
fields = (
('Mode', 'mode'),
('Mode fix type', 'mode_fix_type'),
('SV ID01', 'sv_id01'),
('SV ID02', 'sv_id02'),
('SV ID03', 'sv_id03'),
('SV ID04', 'sv_id04'),
('SV ID05', 'sv_id05'),
('SV ID06', 'sv_id06'),
('SV ID07', 'sv_id07'),
('SV ID08', 'sv_id08'),
('SV ID09', 'sv_id09'),
('SV ID10', 'sv_id10'),
('SV ID11', 'sv_id11'),
('SV ID12', 'sv_id12'),
('PDOP (Dilution of precision)', 'pdop'),
('HDOP (Horizontal DOP)', 'hdop'),
('VDOP (Vertical DOP)', 'vdop'),
)
|
class GSA(TalkerSentence, ValidGSAFix):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 20 | 0 | 20 | 2 | 19 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,119 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.HBT
|
class HBT(TalkerSentence):
""" Heartbeat supervision sentence
Format: $--HBT,<1>,<2>,<3>*hh<CR><LF>
e.g. $AIHBT,30,A,5*0D
<1> Configured repeat interval
<2> Equipment status
<3> Sequential sentence identifier
"""
fields = (
("Configured repeat interval", "interval", float),
("Equipment status", "eq_status"),
("Sequential sentence identifier", "seq_sent_iden", int),
)
|
class HBT(TalkerSentence):
''' Heartbeat supervision sentence
Format: $--HBT,<1>,<2>,<3>*hh<CR><LF>
e.g. $AIHBT,30,A,5*0D
<1> Configured repeat interval
<2> Equipment status
<3> Sequential sentence identifier
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | 0 | 6 | 2 | 5 | 7 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,120 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.GRS
|
class GRS(TalkerSentence):
""" Order of satellites will match those in the last GSA
"""
fields = (
('Timestamp', 'timestamp', timestamp),
('Residuals mode', 'residuals_mode', int),
('SV 01 Residual (m)', 'sv_res_01', float),
('SV 02 Residual (m)', 'sv_res_02', float),
('SV 03 Residual (m)', 'sv_res_03', float),
('SV 04 Residual (m)', 'sv_res_04', float),
('SV 05 Residual (m)', 'sv_res_05', float),
('SV 06 Residual (m)', 'sv_res_06', float),
('SV 07 Residual (m)', 'sv_res_07', float),
('SV 08 Residual (m)', 'sv_res_08', float),
('SV 09 Residual (m)', 'sv_res_09', float),
('SV 10 Residual (m)', 'sv_res_10', float),
('SV 11 Residual (m)', 'sv_res_11', float),
('SV 12 Residual (m)', 'sv_res_12', float),
)
|
class GRS(TalkerSentence):
''' Order of satellites will match those in the last GSA
'''
pass
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.12 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 19 | 0 | 17 | 2 | 16 | 2 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,121 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.GNS
|
class GNS(TalkerSentence, LatLonFix):
fields = (
('Timestamp', 'timestamp', timestamp),
('Latitude', 'lat'),
('Latitude Direction', 'lat_dir'),
('Longitude', 'lon'),
('Longitude Direction', 'lon_dir'),
('Mode indicator', 'mode_indicator'),
('Total number of satelites in use', 'num_sats'),
('HDROP', 'hdop'),
('Antenna altitude, meters', 'altitude'),
('Goeidal separation meters', 'geo_sep'),
('Age of diferential data', 'age_gps_data'),
('Differential reference station ID', 'diferential'),
)
|
class GNS(TalkerSentence, LatLonFix):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 15 | 0 | 15 | 2 | 14 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,122 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.GLL
|
class GLL(TalkerSentence, ValidStatusFix, LatLonFix):
fields = (
('Latitude', 'lat'),
('Latitude Direction', 'lat_dir'),
('Longitude', 'lon'),
('Longitude Direction', 'lon_dir'),
('Timestamp', 'timestamp', timestamp),
('Status', 'status'), # contains the 'A' or 'V' flag
("FAA mode indicator", "faa_mode"),
)
|
class GLL(TalkerSentence, ValidStatusFix, LatLonFix):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 0 | 10 | 2 | 9 | 1 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,123 |
Knio/pynmea2
|
Knio_pynmea2/pynmea2/types/talker.py
|
pynmea2.types.talker.GGA
|
class GGA(TalkerSentence, ValidGGAFix, LatLonFix):
fields = (
('Timestamp', 'timestamp', timestamp),
('Latitude', 'lat'),
('Latitude Direction', 'lat_dir'),
('Longitude', 'lon'),
('Longitude Direction', 'lon_dir'),
('GPS Quality Indicator', 'gps_qual', int),
('Number of Satellites in use', 'num_sats'),
('Horizontal Dilution of Precision', 'horizontal_dil'),
('Antenna Alt above sea level (mean)', 'altitude', float),
('Units of altitude (meters)', 'altitude_units'),
('Geoidal Separation', 'geo_sep'),
('Units of Geoidal Separation (meters)', 'geo_sep_units'),
('Age of Differential GPS Data (secs)', 'age_gps_data'),
('Differential Reference Station ID', 'ref_station_id'),
)
|
class GGA(TalkerSentence, ValidGGAFix, LatLonFix):
pass
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 0 | 17 | 2 | 16 | 0 | 2 | 2 | 1 | 0 | 3 | 0 | 0 |
143,124 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions.py
|
knoema.api_definitions.UploadDatasetDetails
|
class UploadDatasetDetails(object):
"""The class contains dataset details from verify result response"""
def __init__(self, data):
self.dataset_id = data['DatasetId']
self.dataset_name = data['DatasetName']
self.source = data['Source']
self.description = data['Description']
self.dataset_ref = data['DatasetRef']
self.publication_date = data['PublicationDate'] if 'PublicationDate' in data else None
self.accessed_on = data['AccessedOn'] if 'AccessedOn' in data else None
|
class UploadDatasetDetails(object):
'''The class contains dataset details from verify result response'''
def __init__(self, data):
pass
| 2 | 1 | 8 | 0 | 8 | 0 | 3 | 0.11 | 1 | 0 | 0 | 0 | 1 | 7 | 1 | 1 | 11 | 1 | 9 | 9 | 7 | 1 | 9 | 9 | 7 | 3 | 1 | 0 | 3 |
143,125 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/data_reader.py
|
knoema.data_reader.DimensionMetadataReader
|
class DimensionMetadataReader:
def __init__(self, client, dataset, dimension):
self.client = client
self.dataset = dataset
self.dimension = dimension
def get(self):
dim_info = self.client.get_dimension(self.dataset, self.dimension)
view_model = view_definition.Dimension()
view_model.key = dim_info.key
view_model.id = dim_info.id
view_model.name = dim_info.name
view_model.isGeo = dim_info.is_geo
view_model.datasetId = self.dataset
for fields in dim_info.fields:
view_model.fields.append(view_definition.Field(fields))
frame_data = []
headers = ['key', 'name', 'level', 'parent key', 'parent id', 'parent name', 'hasdata']
header_filled = False
parents = {}
for item in dim_info.items:
parents[item.level] = {
'id': item.fields['id'] if 'id' in item.fields else None,
'key': item.key,
'name': item.name
}
parent = {'id': None, 'key': -1, 'name': None}
if item.level > 0:
parent = parents[item.level - 1]
row = [item.key, item.name, item.level, parent['key'], parent['id'], parent['name'], item.hasdata]
for field in dim_info.fields:
if not header_filled:
headers.append(field['name'])
if field['name'] in item.fields:
row.append(item.fields[field['name']])
else:
row.append(None)
if not header_filled:
header_filled = True
frame_data.append(row)
view_model.members = pandas.DataFrame(frame_data, columns=headers)
return view_model
|
class DimensionMetadataReader:
def __init__(self, client, dataset, dimension):
pass
def get(self):
pass
| 3 | 0 | 25 | 5 | 20 | 0 | 5 | 0 | 0 | 2 | 2 | 0 | 2 | 3 | 2 | 2 | 52 | 11 | 41 | 17 | 38 | 0 | 36 | 17 | 33 | 9 | 0 | 3 | 10 |
143,126 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions.py
|
knoema.api_definitions.UploadPostResponse
|
class UploadPostResponse(object):
"""The class contains response from upload post request"""
def __init__(self, data):
self.successful = data['Successful'] if 'Successful' in data else False
self.error = data['Error'] if 'Error' in data else None
self.properties = FileProperties(data['Properties'])
|
class UploadPostResponse(object):
'''The class contains response from upload post request'''
def __init__(self, data):
pass
| 2 | 1 | 4 | 0 | 4 | 0 | 3 | 0.2 | 1 | 1 | 1 | 0 | 1 | 3 | 1 | 1 | 7 | 1 | 5 | 5 | 3 | 1 | 5 | 5 | 3 | 3 | 1 | 0 | 3 |
143,127 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_search.py
|
knoema.api_definitions_search.CompanyResult
|
class CompanyResult(SearchResult):
def __init__(self, company):
super().__init__(company)
self.name = company.name
self.id = company.id
self.company = None
|
class CompanyResult(SearchResult):
def __init__(self, company):
pass
| 2 | 0 | 6 | 1 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 3 | 1 | 2 | 8 | 2 | 6 | 5 | 4 | 0 | 6 | 5 | 4 | 1 | 2 | 0 | 1 |
143,128 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_search.py
|
knoema.api_definitions_search.CompanyResultInt
|
class CompanyResultInt(SearchResultInt):
def __init__(self, data):
super().__init__(data)
self.name = data['concepts'][0]['title']
self.id = data['concepts'][0]['id']
|
class CompanyResultInt(SearchResultInt):
def __init__(self, data):
pass
| 2 | 0 | 5 | 1 | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 2 | 1 | 2 | 7 | 2 | 5 | 4 | 3 | 0 | 5 | 4 | 3 | 1 | 2 | 0 | 1 |
143,129 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_search.py
|
knoema.api_definitions_search.Dimension
|
class Dimension(object):
def __init__(self, data):
self.name = data['dimension']
self.key = data['key']
self.value = data['name']
|
class Dimension(object):
def __init__(self, data):
pass
| 2 | 0 | 4 | 0 | 4 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 3 | 1 | 1 | 6 | 1 | 5 | 5 | 3 | 0 | 5 | 5 | 3 | 1 | 1 | 0 | 1 |
143,130 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_search.py
|
knoema.api_definitions_search.SearchConfig
|
class SearchConfig(object):
def __init__(self, data):
self.host = data['host']
self.search_host = data['searchHost']
self.lang = data['lang']
self.access_token = data['accessToken']
self.session_id = data['sessionId']
self.community_id = data['communityId']
def build_search_url(self, query):
quoted_query = urllib.parse.quote(query)
url = 'https://{}/api/1.0/search?query={}&scope=instant,semantic&count=8&version=4&host={}&lang={}&sessionId={}&access_token={}'
url = url.format(self.search_host, quoted_query, self.host, self.lang, self.session_id, self.access_token or "")
if self.community_id:
url += '&communityId={}'.format(self.community_id)
return url
|
class SearchConfig(object):
def __init__(self, data):
pass
def build_search_url(self, query):
pass
| 3 | 0 | 8 | 1 | 7 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 2 | 6 | 2 | 2 | 19 | 4 | 15 | 11 | 12 | 0 | 15 | 11 | 12 | 2 | 1 | 1 | 3 |
143,131 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_search.py
|
knoema.api_definitions_search.SearchResult
|
class SearchResult(object):
def __init__(self, result):
self.type = result.type
|
class SearchResult(object):
def __init__(self, result):
pass
| 2 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 4 | 1 | 3 | 3 | 1 | 0 | 3 | 3 | 1 | 1 | 1 | 0 | 1 |
143,132 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/data_reader.py
|
knoema.data_reader.KnoemaSeries
|
class KnoemaSeries(object):
"""This class combines values and index points for one time series"""
def __init__(self, name, values=[], index=[], detail_columns=None):
self.name = name
self.values = values
self.index = index
self.column_count = len(detail_columns) if detail_columns is not None else 0
self.column_values = [] if self.column_count > 0 else None
for _ in range(0, self.column_count):
self.column_values.append([])
def add_value(self, value, index_point, columns=None):
"""The function is addeing new value to provied index. If index does not exist"""
if index_point not in self.index:
self.values.append(value)
self.index.append(index_point)
if self.column_count > 0:
for i in range(0, self.column_count):
self.column_values[i].append(None if columns is None else columns[i])
def creates_pandas_series(self, pandas_series, detail_columns):
"""The function creates pandas series based on index and values"""
if detail_columns is None:
pandas_series[self.name] = pandas.Series(self.values, self.index, name=self.name)
else:
series_name = self.name + ('Value',)
pandas_series[series_name] = pandas.Series(self.values, self.index, name=series_name)
for i in range(0, self.column_count):
column_name = detail_columns[i]
series_name = self.name + (column_name,)
pandas_series[series_name] = pandas.Series(self.column_values[i], self.index, name=series_name)
|
class KnoemaSeries(object):
'''This class combines values and index points for one time series'''
def __init__(self, name, values=[], index=[], detail_columns=None):
pass
def add_value(self, value, index_point, columns=None):
'''The function is addeing new value to provied index. If index does not exist'''
pass
def creates_pandas_series(self, pandas_series, detail_columns):
'''The function creates pandas series based on index and values'''
pass
| 4 | 3 | 9 | 0 | 8 | 1 | 4 | 0.12 | 1 | 2 | 0 | 0 | 3 | 5 | 3 | 3 | 32 | 3 | 26 | 14 | 22 | 3 | 25 | 14 | 21 | 5 | 1 | 3 | 12 |
143,133 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions.py
|
knoema.api_definitions.TimeSeriesAttribute
|
class TimeSeriesAttribute(object):
"""This class contains information about dataset' s timeseries attributes"""
def __init__(self, data):
self.name = data['name']
self.type = data['type']
self.allowed_values = data['allowedValues']
|
class TimeSeriesAttribute(object):
'''This class contains information about dataset' s timeseries attributes'''
def __init__(self, data):
pass
| 2 | 1 | 4 | 0 | 4 | 0 | 1 | 0.2 | 1 | 0 | 0 | 0 | 1 | 3 | 1 | 1 | 6 | 0 | 5 | 5 | 3 | 1 | 5 | 5 | 3 | 1 | 1 | 0 | 1 |
143,134 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/data_reader.py
|
knoema.data_reader.DetailsResponseReader
|
class DetailsResponseReader(ResponseReader):
def __init__(self, reader, data_resp):
self.data_resp = data_resp
super().__init__(reader)
def get_pandasframe(self):
records = self.convert_pandasframe()
if not self.include_metadata:
return records
return records, None
def convert_pandasframe(self):
titles = []
columns = []
indexes = []
for col in self.data_resp.columns:
indexes.append(col['index'])
if col['dimensionId'] != None:
if 'detailColumns' in col:
titles.append(col['name'])
columns.append([col['id'], 'name'])
for detail in col['detailColumns']:
indexes.append(detail['index'])
titles.append(detail['name'])
columns.append([col['id'], detail['id']])
else:
titles.append(col['name'])
columns.append(col['id'])
else:
if col['type'] == 'Date':
titles.append(col['name'])
columns.append([col['id'], 'value'])
continue
if col['type'] == 'Currency':
titles.append(col['name'])
columns.append([col['id'], 'value'])
continue
titles.append(col['name'])
columns.append(col['id'])
#sort both array by indexes
titles, columns = zip(*[x for _,x in sorted(zip(indexes, zip(titles, columns)))])
records = []
for tuple in self.data_resp.tuples:
record = []
for col in columns:
if isinstance(col, str):
val = tuple[col]
record.append(val)
else:
val = tuple[col[0]]
record.append(val[col[1]] if val != None else None)
records.append(record)
return pandas.DataFrame(data=records, columns=titles)
|
class DetailsResponseReader(ResponseReader):
def __init__(self, reader, data_resp):
pass
def get_pandasframe(self):
pass
def convert_pandasframe(self):
pass
| 4 | 0 | 19 | 2 | 16 | 0 | 5 | 0.02 | 1 | 3 | 0 | 0 | 3 | 1 | 3 | 5 | 59 | 8 | 50 | 16 | 46 | 1 | 47 | 15 | 43 | 11 | 2 | 4 | 14 |
143,135 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_sema.py
|
knoema.api_definitions_sema.CompanyIndicatorInt
|
class CompanyIndicatorInt(object):
def __init__(self, data):
self._id = data['id']
self._full_id = data['full_id']
self.name = data['name']
self.count = data['count']
|
class CompanyIndicatorInt(object):
def __init__(self, data):
pass
| 2 | 0 | 5 | 0 | 5 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 4 | 1 | 1 | 7 | 1 | 6 | 6 | 4 | 0 | 6 | 6 | 4 | 1 | 1 | 0 | 1 |
143,136 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_sema.py
|
knoema.api_definitions_sema.CompanyInt
|
class CompanyInt(object):
def __init__(self, data):
self.name = data['title']
self.groups = []
for group in data['groupHierarchies']:
self.groups.append(CompanyIndicatorsGroupInt(group))
|
class CompanyInt(object):
def __init__(self, data):
pass
| 2 | 0 | 6 | 1 | 5 | 0 | 2 | 0 | 1 | 1 | 1 | 0 | 1 | 2 | 1 | 1 | 8 | 2 | 6 | 5 | 4 | 0 | 6 | 5 | 4 | 2 | 1 | 1 | 2 |
143,137 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_sema.py
|
knoema.api_definitions_sema.CompanyIndicatorsGroupInt
|
class CompanyIndicatorsGroupInt(object):
def __init__(self, data):
self.name = data['topParent']['name']
hierarchy = data['hierarchy']
item_data = data['itemData']
self.indicators = []
for _, indicators_list in hierarchy.items():
for ind in indicators_list:
indicator = {
'id': ind['id'],
'name': ind['name']
}
ind_key = str(ind['key'])
if ind_key in item_data:
indicator['full_id'] = item_data[ind_key]['conceptsQuery']
indicator['count'] = item_data[ind_key]['count']
self.indicators.append(CompanyIndicatorInt(indicator))
|
class CompanyIndicatorsGroupInt(object):
def __init__(self, data):
pass
| 2 | 0 | 19 | 3 | 16 | 0 | 4 | 0 | 1 | 2 | 1 | 0 | 1 | 2 | 1 | 1 | 21 | 4 | 17 | 10 | 15 | 0 | 14 | 10 | 12 | 4 | 1 | 3 | 4 |
143,138 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_sema.py
|
knoema.api_definitions_sema.CompanyIndicatorsGroup
|
class CompanyIndicatorsGroup(object):
""""The class contains information about named group of indicator"""
def __init__(self, group, client):
self.name = group.name
self.indicators = []
for indicator in group.indicators:
self.indicators.append(CompanyIndicator(indicator, client))
|
class CompanyIndicatorsGroup(object):
'''"The class contains information about named group of indicator'''
def __init__(self, group, client):
pass
| 2 | 1 | 6 | 1 | 5 | 0 | 2 | 0.17 | 1 | 1 | 1 | 0 | 1 | 2 | 1 | 1 | 9 | 2 | 6 | 5 | 4 | 1 | 6 | 5 | 4 | 2 | 1 | 1 | 2 |
143,139 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_sema.py
|
knoema.api_definitions_sema.CompanyIndicator
|
class CompanyIndicator(object):
"""The class contains information about company indicator"""
def __init__(self, indicator, client):
self._client = client
self._id = indicator._id
self._full_id = indicator._full_id
self.name = indicator.name
self.count = indicator.count
def get(self, transform = None):
ind_info = self._client.get_indicator_info(self._full_id)
if len(ind_info['groups']) < 1:
return None
first_group = ind_info['groups'][0]
dataset = first_group['id']
ds = self._client.get_dataset(dataset) if dataset else None
desc = first_group['batchDesctiptor']
pivot = self._client.get_data_by_json(desc)
tr_reader = TransformationDataReader(self._client, None, transform, None)
tr_reader.dataset = ds
pivot_reader = PivotResponseReader(tr_reader, pivot)
frame = pivot_reader.get_pandasframe()
return frame
|
class CompanyIndicator(object):
'''The class contains information about company indicator'''
def __init__(self, indicator, client):
pass
def get(self, transform = None):
pass
| 3 | 1 | 13 | 3 | 10 | 0 | 2 | 0.05 | 1 | 2 | 2 | 0 | 2 | 5 | 2 | 2 | 30 | 8 | 21 | 17 | 18 | 1 | 21 | 17 | 18 | 3 | 1 | 1 | 4 |
143,140 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_sema.py
|
knoema.api_definitions_sema.Company
|
class Company(object):
""""The class contains data related to a company like name and groups of indicators"""
def __init__(self, company, client):
self.name = company.name
self.groups = []
for group in company.groups:
self.groups.append(CompanyIndicatorsGroup(group, client))
def get_indicator(self, name, group = None):
for grp in self.groups:
if group != None and grp.name != group:
continue
for indicator in grp.indicators:
if indicator.name == name:
return indicator
return None
|
class Company(object):
'''"The class contains data related to a company like name and groups of indicators'''
def __init__(self, company, client):
pass
def get_indicator(self, name, group = None):
pass
| 3 | 1 | 9 | 2 | 7 | 0 | 4 | 0.07 | 1 | 1 | 1 | 0 | 2 | 2 | 2 | 2 | 21 | 6 | 14 | 8 | 11 | 1 | 14 | 8 | 11 | 5 | 1 | 3 | 7 |
143,141 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_search.py
|
knoema.api_definitions_search.TimeseriesSearchResultInt
|
class TimeseriesSearchResultInt(SearchResultInt):
def __init__(self, data):
super().__init__(data)
self.title = data['title']
self.dataset = data['dataset']['id']
self.frequency = data['frequency']
self.start_date = data['startDate']
self.end_date = data['endDate']
self.dimensions = []
self._dim_values = {}
for dim in data['dimensions']:
dimension = Dimension(dim)
self._dim_values[dimension.name] = dimension.value
self.dimensions.append(dimension)
|
class TimeseriesSearchResultInt(SearchResultInt):
def __init__(self, data):
pass
| 2 | 0 | 14 | 1 | 13 | 0 | 2 | 0 | 1 | 2 | 1 | 0 | 1 | 7 | 1 | 2 | 16 | 2 | 14 | 11 | 12 | 0 | 14 | 11 | 12 | 2 | 2 | 1 | 2 |
143,142 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_search.py
|
knoema.api_definitions_search.SearchResultInt
|
class SearchResultInt(object):
def __init__(self, data):
self.type = data['type']
|
class SearchResultInt(object):
def __init__(self, data):
pass
| 2 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 4 | 1 | 3 | 3 | 1 | 0 | 3 | 3 | 1 | 1 | 1 | 0 | 1 |
143,143 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_search.py
|
knoema.api_definitions_search.TimeseriesSearchResult
|
class TimeseriesSearchResult(SearchResult):
def __init__(self, result, client):
super().__init__(result)
self._client = client
self.title = result.title
self.dataset = result.dataset
self.frequency = result.frequency
self.start_date = result.start_date
self.end_date = result.end_date
self.dimensions = []
self._dim_values = {}
for dim in result.dimensions:
self._dim_values[dim.name] = dim.value
self.dimensions.append(dim)
def get(self, transform = None):
ds = self._client.get_dataset(self.dataset)
reader = TransformationDataReader(self._client, self._dim_values, transform, self.frequency)
reader.dataset = ds
return reader.get_pandasframe()
|
class TimeseriesSearchResult(SearchResult):
def __init__(self, result, client):
pass
def get(self, transform = None):
pass
| 3 | 0 | 11 | 2 | 9 | 0 | 2 | 0 | 1 | 2 | 1 | 0 | 2 | 8 | 2 | 3 | 25 | 6 | 19 | 14 | 16 | 0 | 19 | 14 | 16 | 2 | 2 | 1 | 3 |
143,144 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_search.py
|
knoema.api_definitions_search.SearchResultsInt
|
class SearchResultsInt(object):
def __init__(self, data):
self.instant = None
self.series = []
if data['totalItems'] == 0:
return
items = data['items']
for item in items:
if item['type'] == 'ConceptBind':
if item['concepts'][0]['conceptType'] == 'Company':
self.instant = CompanyResultInt(item)
if item['type'] == 'TimeSeries':
self.series.append(TimeseriesSearchResultInt(item))
|
class SearchResultsInt(object):
def __init__(self, data):
pass
| 2 | 0 | 16 | 4 | 12 | 0 | 6 | 0 | 1 | 2 | 2 | 0 | 1 | 2 | 1 | 1 | 18 | 5 | 13 | 6 | 11 | 0 | 13 | 6 | 11 | 6 | 1 | 3 | 6 |
143,145 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions.py
|
knoema.api_definitions.RawDataResponse
|
class RawDataResponse(object):
"""The class contains raw data response"""
def __init__(self, data):
self.continuation_token = data['continuationToken']
self.series = data['data']
self.descriptor = data['descriptor'] if 'descriptor' in data else None
self.dimensionFields = data['dimensionFields'] if 'dimensionFields' in data else None
|
class RawDataResponse(object):
'''The class contains raw data response'''
def __init__(self, data):
pass
| 2 | 1 | 6 | 1 | 5 | 0 | 3 | 0.17 | 1 | 0 | 0 | 0 | 1 | 4 | 1 | 1 | 9 | 2 | 6 | 6 | 4 | 1 | 6 | 6 | 4 | 3 | 1 | 0 | 3 |
143,146 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/api_definitions_search.py
|
knoema.api_definitions_search.SearchResults
|
class SearchResults(object):
def __init__(self, results, client):
self.instant = None
if results.instant != None:
if results.instant.type == 'ConceptBind':
self.instant = CompanyResult(results.instant)
self.series = []
for series in results.series:
self.series.append(TimeseriesSearchResult(series, client))
|
class SearchResults(object):
def __init__(self, results, client):
pass
| 2 | 0 | 9 | 1 | 8 | 0 | 4 | 0 | 1 | 2 | 2 | 0 | 1 | 2 | 1 | 1 | 11 | 2 | 9 | 5 | 7 | 0 | 9 | 5 | 7 | 4 | 1 | 2 | 4 |
143,147 |
Knoema/knoema-python-driver
|
Knoema_knoema-python-driver/knoema/data_reader.py
|
knoema.data_reader.DataReader
|
class DataReader(object):
"""This class read data from Knoema and transform it to pandas frame"""
def __init__(self, client):
self.client = client
self.dataset = None
self.include_metadata = False
self.columns = None
self.dimensions = []
self.separator = ';'
def _get_series_name(self, series_point):
names = []
for dim in self.dimensions:
names.append(series_point[dim.id])
names.append(series_point['Frequency'])
return tuple(names)
def _get_series_with_metadata(self, series_point):
names = []
for dim in self.dimensions:
for item in dim.items:
if item.name == series_point[dim.id]:
dim_attrs = item.fields
break
for attr in dim.fields:
if not attr['isSystemField']:
value_empty = True
for key, value in dim_attrs.items():
if definition.is_equal_strings_ignore_case(key, attr['name']):
names.append(value)
value_empty = False
if value_empty:
names.append(float("NaN"))
names.append(series_point.get('Unit'))
names.append(series_point.get('Scale'))
names.append(series_point.get('Mnemonics'))
for attr in self.dataset.timeseries_attributes:
names.append(series_point.get(attr.name))
return tuple(names)
def _get_attribute_names(self):
names = []
for dim in self.dimensions:
for attr in dim.fields:
if not attr['isSystemField']:
names.append(dim.name +' '+ attr['displayName'])
names.append('Unit')
names.append('Scale')
names.append('Mnemonics')
for attr in self.dataset.timeseries_attributes:
names.append(attr.name)
return names
def _get_dimension_names(self):
names = []
for dim in self.dataset.dimensions:
names.append(dim.name)
if self.dataset.has_time:
names.append('Frequency')
return names
def _get_metadata_series(self, resp, names_of_attributes):
series = {}
for series_point in resp.tuples:
val = series_point['Value']
if val is None:
continue
serie_name = self._get_series_name(series_point)
if serie_name not in series:
serie_attrs = self._get_series_with_metadata(series_point)
series[serie_name] = KnoemaSeries(serie_name, serie_attrs, names_of_attributes, None)
return series
def _load_dimensions(self):
for dim in self.dataset.dimensions:
self.dimensions.append(self.client.get_dimension(self.dataset.id, dim.id))
|
class DataReader(object):
'''This class read data from Knoema and transform it to pandas frame'''
def __init__(self, client):
pass
def _get_series_name(self, series_point):
pass
def _get_series_with_metadata(self, series_point):
pass
def _get_attribute_names(self):
pass
def _get_dimension_names(self):
pass
def _get_metadata_series(self, resp, names_of_attributes):
pass
def _load_dimensions(self):
pass
| 8 | 1 | 10 | 0 | 10 | 0 | 4 | 0.01 | 1 | 3 | 1 | 2 | 7 | 6 | 7 | 7 | 77 | 7 | 69 | 34 | 61 | 1 | 69 | 34 | 61 | 10 | 1 | 5 | 27 |
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