Блог

[https://drive.google.com/file/d/1HE8tHeq0Jm7EF530VaYv7aesPS-DoC0N/view?usp=sharing][изображение]

Я попытался использовать Scattergeo вместо px.line_geo, но это дало тот же эффект. Кажется, я не могу просматривать данные в любом месте, где я наведу курсор на путь — > данные отображаются только на полюсах.

деф telem_data_fig(txt_file):

 position_and_speed = np.loadtxt(txt_file, skiprows=6, usecols=(4,5,6,7,8,9), unpack=False)
(year, x, y, z, vx, vy, vz) = np.loadtxt(txt_file, skiprows=6, usecols=(2,4,5,6,7,8,9), unpack=True)

df = pd.DataFrame(position_and_speed, columns=['x','y','z','vx','vy','vz'])
time = []
date = []
month = []
#read time, month, amp; date data 
with open(txt_file) as f: 
    f2 = f.readlines()[6:]
    for line in f2: 
        l = line.rstrip('n')
        colon_ind = l.index(":")
        time_val = l[colon_ind-2:colon_ind 10]
        time.append(time_val)
        date.append(l[0:2])
        month.append(l[3:6])

# insert time, date, amp; month info into dataframe 
df['time'] = time
df['month'] = month
df['date'] = date
# original telem data is in efec (earth-fixed-earth-centered), 
# so convert to geodetic (lon,lat,alt) coords and add new columns in df
lat_vals = []
lon_vals = []
alt_vals = []

for i in range(len(x)):
    lat, lon, alt = pm.ecef2geodetic(x[i], y[i], z[i])
    lat_vals.append(lat)
    lon_vals.append(lon)
    alt_vals.append(alt)

df['lat'] = lat_vals
df['lon'] = lon_vals
df['alt'] = alt_vals

fig = px.line_geo(df, lat='lat', lon='lon', 
                    hover_data=hover_datainfo, 
                    projection='orthographic',
                    title='Telemetry Data',
                    locationmode='country names',
                    )
fig.update_layout(
    title_text = 'Satellite Path',
    showlegend = True,
    hoverlabel=dict(
        bgcolor="white",
        font_size=16,
        font_family="Worksans"
    ),
    geo = dict(
        lonaxis = dict(
            showgrid = True,
            gridcolor = 'rgb(102, 102, 102)',
            gridwidth = 0.5
        ),
        lataxis = dict(
            showgrid = True,
            gridcolor = 'rgb(102, 102, 102)',
            gridwidth = 0.5
        )
    )
 

)

 fig.show()