在 python 中正确格式化 3d 子图

Question

所以我有 8 个 3d 图（7 个 3d 图和一个 2d 图）

我想以 4 x 2 格式放置它们。这是我的代码：

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()

结果如下图。我如何正确格式化这些？

Answer 1

您在 add_subplot 中使用行、列和索引的方式有问题。我希望这对您有所帮助：

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

第一个数字是（总）行数和列数，第三个数字是“索引”，即每个子图从 1..6（=行 * 列）开始。

这是它的样子：

但要完全回答这里的问题，需要做的是：

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')

然后您可以使用坐标轴 (ax1..6)，例如，

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

在 python 中正确格式化 3d 子图

Properly format 3d subplots in python

python

3d

plot

matplotlib