Matplotlib极坐标图没有绘制它应该的位置

Question

我尝试在极坐标图中表示球面坐标方位角和仰角度。我有一组值可以测试0度，90度，180度和270度，可以清楚地看到它们没有绘制在它们应该的方位角值上。

代码：

from matplotlib.pyplot import rc, grid, figure, plot, rcParams, savefig


def generate_satellite_plot(observer_lat, observer_lon):
    rc('grid', color='#316931', linewidth=1, linestyle='-')
    rc('xtick', labelsize=15)
    rc('ytick', labelsize=15)

    # force square figure and square axes looks better for polar, IMO
    width, height = rcParams['figure.figsize']
    size = min(width, height)
    # make a square figure
    fig = figure(figsize=(size, size))

    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True, axisbg='#d5de9c')
    ax.set_theta_zero_location('N')
    ax.set_theta_direction(-1)

    sat_positions = [[1, 30, 0], [2, 60, 90], [3, 30, 180], [4, 50, 270]]
    for (PRN, E, Az) in sat_positions:
        ax.annotate(str(PRN),
                    xy=(Az, 90-E),  # theta, radius
                    bbox=dict(boxstyle="round", fc = 'green', alpha = 0.5),
                    horizontalalignment='center',
                    verticalalignment='bottom')


    ax.set_yticks(range(0, 90, 10))                   # Define the yticks
    yLabel = ['90', '', '', '60', '', '', '30', '', '', '']
    ax.set_yticklabels(yLabel)
    grid(True)

    savefig('foo.png')

这是结果，显然不精确：

我更改了轴，使它们从0度开始然后顺时针方向移动，半径代表高度（从圆心90º到边界0º）。

Answer 1

迟到了，但是：

代码：

from matplotlib.pyplot import rc, grid, figure, plot, rcParams, savefig
from math import radians

def generate_satellite_plot(observer_lat, observer_lon):
    rc('grid', color='#316931', linewidth=1, linestyle='-')
    rc('xtick', labelsize=15)
    rc('ytick', labelsize=15)

    # force square figure and square axes looks better for polar, IMO
    width, height = rcParams['figure.figsize']
    size = min(width, height)
    # make a square figure
    fig = figure(figsize=(size, size))

    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True, axisbg='#d5de9c')
    ax.set_theta_zero_location('N')
    ax.set_theta_direction(-1)

    sat_positions = [[1, 30, 0], [2, 60, 90], [3, 30, 180], [4, 50, 270]]
    for (PRN, E, Az) in sat_positions:
        ax.annotate(str(PRN),
                    xy=(radians(Az), 90-E),  # theta, radius
                    bbox=dict(boxstyle="round", fc = 'green', alpha = 0.5),
                    horizontalalignment='center',
                    verticalalignment='center')


    ax.set_yticks(range(0, 90+10, 10))                   # Define the yticks
    yLabel = ['90', '', '', '60', '', '', '30', '', '', '']
    ax.set_yticklabels(yLabel)
    grid(True)

    savefig('foo.png')

结果：

Answer 2

import numpy as np
import matplotlib.pyplot as plt

def generate_satellite_plot(Az,El):
    fig = plt.figure()
    ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
    ax.set_theta_zero_location('N')
    ax.set_theta_direction(-1)
    ax.plot(np.deg2rad(Az),90-El,'*')
    ax.set_yticks(range(0, 90+10, 30))                   # Define the yticks
    yLabel = ['90', '60','30','0']
    ax.set_yticklabels(yLabel)
    ax.set_xticks(np.arange(0, np.pi*2, np.pi/2))                   # Define the xticks
    xLabel = ['N' , 'E','S','W']
    ax.set_xticklabels(xLabel)
    plt.show()


Az=[90, 180, 270]
El=[20, 30, 10]
Az= np.array(Az)
El= np.array(El)
generate_satellite_plot(Az,El)

The output of the code