matplotlib 如何格式化3D子图

0qx6xfy6 于 2023-05-01 发布在其他

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所以我有8个3D图（7个3D图和一个2D图）
我想把它们定位成4 x 2的格式。下面是我的代码：

sensor_data = self._util_sensor(sub_df)
fig = plt.figure()
fig.tight_layout()

ax = fig.add_subplot(1, 2, 1, projection = '3d')
ax.scatter(sensor_data['chest'][0], sensor_data['chest'][1], sensor_data['chest'][2])
ax.set_title('Chest')
            
ax = fig.add_subplot(1, 2, 2)
ax.scatter(sensor_data['ecg'][0], sensor_data['ecg'][1])
ax.set_title('ECG')
            
ax = fig.add_subplot(2, 2, 1, projection = '3d')
ax.scatter(sensor_data['left_accel'][0], sensor_data['left_accel'][1], sensor_data['left_accel'][2])
ax.set_title('left accel')
            
ax = fig.add_subplot(2, 2, 2, projection = '3d')
ax.scatter(sensor_data['left_gyro'][0], sensor_data['left_gyro'][1], sensor_data['left_gyro'][2])
ax.set_title('left gyro')
            
ax = fig.add_subplot(3, 2, 1, projection = '3d')
ax.scatter(sensor_data['left_mag'][0], sensor_data['left_mag'][1], sensor_data['left_mag'][2])
ax.set_title('left mag')
            
ax = fig.add_subplot(3, 2, 2, projection = '3d')
ax.scatter(sensor_data['right_accel'][0], sensor_data['right_accel'][1], sensor_data['right_accel'][2])
ax.set_title('right accel')

ax = fig.add_subplot(4, 2, 1, projection = '3d')
ax.scatter(sensor_data['right_gyro'][0], sensor_data['right_gyro'][1], sensor_data['right_gyro'][2])
ax.set_title('right gyro')

ax = fig.add_subplot(4, 2, 2, projection = '3d')
ax.scatter(sensor_data['right_mag'][0], sensor_data['right_mag'][1], sensor_data['right_mag'][2])
ax.set_title('right mag')
plt.show()

结果是下图。我如何正确地格式化这些？

matplotlib

来源：https://stackoverflow.com/questions/71125893/how-to-format-3d-subplots

1条答案

按热度按时间

vuv7lop31#

在add_subplot中如何使用行、列和索引有问题。我希望这里有帮助：

fig = plt.figure()
for i in range(6):
    ax = fig.add_subplot(3, 2, i+1, projection = '3d')

第一个数字是行和列的（总）数量，第三个数字是“索引”，i。即从1..6（=行 * 列）。
它看起来是这样的：

但要完全回答这个问题，需要做些什么：

fig = plt.figure(figsize=(6, 12))
ax1 = fig.add_subplot(3, 2, 1, projection = '3d')
ax2 = fig.add_subplot(3, 2, 2)
ax3 = fig.add_subplot(3, 2, 3, projection = '3d')
ax4 = fig.add_subplot(3, 2, 4, projection = '3d')
ax5 = fig.add_subplot(3, 2, 5, projection = '3d')
ax6 = fig.add_subplot(3, 2, 6, projection = '3d')

然后可以使用轴（ax1..6）如，例如、

ax2.plot([1, 3, 2, 7])

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matplotlib 如何格式化3D子图

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