我有一个包含经度、纬度和其他数据的 csv 文件。使用pd.read_csv读取数据,然后将经度和纬度放入数据帧中。定义了一个新的 DF:longLat = gps[["经度", "纬度"]]尝试了longLat = longLat.apply(pd.to_numeric,错误='raise'(,但不起作用
Error message: AttributeError: 'Series' object has no attribute 'radians'.
以下是我尝试过的:
data1 = pd.read_csv("xxx.csv",index_col = False)
# data1 = data1.apply(pd.to_numeric, errors='ignore')
timestamps = data1["time"]
latitude = data1["latitude"]
longitude = data1["longitude"]
travelstate = data1["travelstate"]
month = []
day = []
hour = []
weekday= []
timestamps.head()
data1.head()
for timestamp in timestamps:
month.append(datetime.utcfromtimestamp(float(timestamp)).strftime('%m'))
day.append(datetime.utcfromtimestamp(float(timestamp)).strftime('%d'))
hour.append(datetime.utcfromtimestamp(float(timestamp)).strftime('%H'))
weekday.append((pd.to_datetime(timestamp, unit = "s").weekday()))
gps = pd.DataFrame(columns = ["Month","Day","Hour","Weekday","Longitude","Latitude","Travel State"])
gps["Month"] = month
gps["Day"] = day
gps["Hour"] = hour
gps["Weekday"] =weekday
gps["Longitude"] = longitude
gps["Latitude"] = latitude
gps["Travel State"] = travelstate
longLat = gps[["Longitude", "Latitude"]]
def haversine(lat1, lon1, lat2, lon2, to_radians= True,
earth_radius=6371):
if to_radians:
lat1, lon1, lat2, lon2 = numpy.radians([lat1, lon1, lat2, lon2])
a = np.sin((lat2-lat1)/2.0)**2 +
np.cos(lat1) * np.cos(lat2) * numpy.sin((lon2-lon1)/2.0)**2
return earth_radius * 2 * np.arcsin(np.sqrt(a))
a = haversine(longLat.Longitude.shift(), longLat.Latitude.shift(),
longLat.loc[1:,"Longitude"], longLat.loc[1:,"Latitude"])
print(a)
gps['p_latitude'] = gps['Latitude'].shift(1)
gps['p_longitude'] = gps['Longitude'].shift(1)
distanceI = gps[['p_latitude', 'p_longitude', 'Latitude','Longitude']].apply(lambda x: haversine(x[1], x[0], x[3], x[2]), axis=1)
这是一个很好的解决方案,除了你必须交换haversine(x[1],x[0],x[3],x[2](,axis=1(来应用(lambda x:haversine(x[0],x[1],x[2],x[3](,axis=1(
不应在以下位置使用 longLat:
a = haversine(longLat.Longitude.shift(),longLat.Latitude.shift(),
longLat.loc[1:,"Longitude"], longLat.loc[1:"Latitude"])
它在使用时有效:
a = haversine_np(gps.Longitude.shift(), gps.Latitude.shift(),
gps.loc[1:, 'Longitude'], gps.loc[1:, 'Latitude'])