我已经检查了很多与这个问题有关的问题，但我仍然无法解决我的问题。当我通过终端打印数据时，我看到数据已正确更新，但在图中未正确更新，因为数据似乎重叠。我的函数的输入数据是使用jsonpickle格式编码的多个字符串的列表。
def satellite_plot(messages_list):
plots = {}
## Get the necessary data from the input message list
for ii in range(len(messages_list)):
if messages_list[ii]["satellite_info"]["gnss"] == "GPS":
satellite_name = "G" + str(messages_list[ii]["satellite_info"]["satellite_id"])
elif messages_list[ii]["satellite_info"]["gnss"] == "Galileo":
satellite_name = "E" + str(messages_list[ii]["satellite_info"]["satellite_id"])
# considering polar coordinates:
# the angle of the satellite is the azimuth
# the elevation is converted to the radius of the circle by:
azimuths[satellite_name] = messages_list[ii]["satellite_info"]["azimuth"] * pi / 180 # to radians
elevations[satellite_name] = 90 - messages_list[ii]["satellite_info"]["elevation"] # elevation radiuses from 90 to 0
## make new plot if satellite name is not already contained in dicts:
# if name not found, add new key to all dictionaries
if messages_list[ii]["satellite_info"]["gnss"] == "GPS":
plots[satellite_name], = skyplot.plot(azimuths[satellite_name], elevations[satellite_name], 'bo')
elif messages_list[ii]["satellite_info"]["gnss"] == "Galileo":
plots[satellite_name], = skyplot.plot(azimuths[satellite_name], elevations[satellite_name], 'ro')
plots[satellite_name].set_xdata(azimuths[satellite_name])
plots[satellite_name].set_ydata(elevations[satellite_name])
fig.canvas.draw()
if __name__ == "__main__":
azimuths = {} # radiuses of the currently tracked satellites
elevations = {} # angles of the currently tracked satellites
plots = {} # dictionary that contains the current point for each satellite
file_sample =[
{"hw_timestamp":1822581000,"id":"pvt_calculation","protocol":"OGRP1_1","pvt_calculation":[{"clock_bias":-0.004423996296702252,"clock_drift":1.361534381506130e-08,"coordinate_system":"WGS84","number_of_satellites":10,"position":{"x":4.516736645143737e-05,"y":-3.836113359056981e-05,"z":-32.57596752978861},"precision":"3D","velocity":{"x":-0.1246464472973443,"y":0.1429197664922133,"z":0.03724550663488135}}],"sw_version":32768,"time_status":"FREE_RUNNING","timestamp":1471219272.999571},
{"hw_timestamp":1822581000,"id":"satellite_info","protocol":"OGRP1_1","satellite_info":{"azimuth":297.8554532555478,"direction":{"x":0.7537536349533224,"y":-0.5810116318484969,"z":0.3070520175009441},"elevation":48.91663887708157,"expected_range":20094032.37830078,"expected_range_rate":-141.2923829757924,"gnss":"GPS","satellite_id":10},"time_status":2,"timestamp":1471219272.999571},
{"hw_timestamp":1822581000,"id":"satellite_info","protocol":"OGRP1_1","satellite_info":{"azimuth":116.1412474962802,"direction":{"x":0.7404655783632587,"y":0.6033463158720899,"z":-0.2961147588060097},"elevation":47.77103661185114,"expected_range":20163389.04642602,"expected_range_rate":-252.7339922035036,"gnss":"GPS","satellite_id":17},"time_status":2,"timestamp":1471219272.999571},
{"hw_timestamp":1822581000,"id":"satellite_info","protocol":"OGRP1_1","satellite_info":{"azimuth":193.3871914400808,"direction":{"x":0.6471975304938233,"y":-0.1765013460394418,"z":-0.7416081386884599},"elevation":40.33060464932528,"expected_range":20657639.01743281,"expected_range_rate":535.0708954459112,"gnss":"GPS","satellite_id":26},"time_status":2,"timestamp":1471219272.999571},
{"hw_timestamp":1822581000,"id":"satellite_info","protocol":"OGRP1_1","satellite_info":{"azimuth":152.313597763160,"direction":{"x":0.4135761992720348,"y":0.4230330995330789,"z":-0.8062243633723396},"elevation":24.42962737306918,"expected_range":21953944.30989864,"expected_range_rate":120.1291192156332,"gnss":"GPS","satellite_id":27},"time_status":2,"timestamp":1471219272.999571},
{"hw_timestamp":1822581000,"id":"satellite_info","protocol":"OGRP1_1","satellite_info":{"azimuth":352.0793600961534,"direction":{"x":0.3628180253996969,"y":-0.1284117694789551,"z":0.9229699333696351},"elevation":21.27341152683660,"expected_range":22246730.52767780,"expected_range_rate":147.1208501747284,"gnss":"GPS","satellite_id":2},"time_status":2,"timestamp":1471219272.999571},
{"hw_timestamp":1822581000,"id":"satellite_info","protocol":"OGRP1_1","satellite_info":{"azimuth":204.9934115317646,"direction":{"x":0.4007384537379515,"y":-0.3871045359427047,"z":-0.8303967545386355},"elevation":23.62432645019001,"expected_range":22027616.56503316,"expected_range_rate":626.4965195208777,"gnss":"GPS","satellite_id":15},"time_status":2,"timestamp":1471219272.999571},
{"hw_timestamp":1822581000,"id":"satellite_info","protocol":"OGRP1_1","satellite_info":{"azimuth":34.46057167201275,"direction":{"x":0.3695267587318597,"y":0.5257886416201152,"z":0.7661568239756139},"elevation":21.68644952052070,"expected_range":22207804.72333424,"expected_range_rate":68.28392241501729,"gnss":"GPS","satellite_id":4},"time_status":2,"timestamp":1471219272.999571},
{"hw_timestamp":1822581000,"id":"satellite_info","protocol":"OGRP1_1","satellite_info":{"azimuth":294.4757165064577,"direction":{"x":0.3211060585438145,"y":-0.8619389858612561,"z":0.3923672817895573},"elevation":18.72988130689558,"expected_range":22490349.45883135,"expected_range_rate":286.7157028996278,"gnss":"GPS","satellite_id":12},"time_status":2,"timestamp":1471219272.999571},
{"hw_timestamp":1822581000,"id":"satellite_info","protocol":"OGRP1_1","satellite_info":{"azimuth":157.0683337268788,"direction":{"x":0.2610357127845332,"y":0.3761240272382553,"z":-0.8890394101417253},"elevation":15.13147027901228,"expected_range":22845982.12935818,"expected_range_rate":-552.3891676642655,"gnss":"GPS","satellite_id":28},"time_status":2,"timestamp":1471219272.999571},
{"hw_timestamp":1822581000,"id":"satellite_info","protocol":"OGRP1_1","satellite_info":{"azimuth":124.0520436322381,"direction":{"x":0.2270340137092914,"y":0.8068938053839888,"z":-0.5453237051990266},"elevation":13.12245746683365,"expected_range":23049782.25215284,"expected_range_rate":-2.105826922317874,"gnss":"GPS","satellite_id":8},"time_status":2,"timestamp":1471219272.999571}]
# skyplot figure initialisation
fig = plt.figure()
skyplot = fig.add_subplot(111,projection='polar')
skyplot.set_ylim(90) # sets radius of the circle to the maximum elevation
skyplot.set_theta_zero_location("N") # sets 0(deg) to North
skyplot.set_theta_direction(-1) # sets plot clockwise
skyplot.set_yticks(range(0, 90, 30)) # sets 3 concentric circles
skyplot.set_yticklabels(map(str, range(90, 0, -30))) # reverse labels
plt.show(block=False)
ii = 0
while ii < len(file_sample):
try:
data = jsonpickle.decode(file_sample[ii])
except:
break
# splitting the received messages to get the needed data
if data["id"] == "pvt_calculation":
number_of_satellites = data["pvt_calculation"][0]["number_of_satellites"]
if data["id"] == "satellite_info":
messages_list.append(data)
if len(messages_list) == number_of_satellites:
satellite_plot(messages_list)
messages_list = []
ii += 1
有人可以告诉我，我可以更改哪些内容，以便在图中看到数据更新？
提前致谢