流图#

流线图或流线图用于显示二维矢量场。此示例显示了该streamplot函数的一些特性：

沿着流线改变颜色。
改变流线的密度。
沿流线改变线宽。
控制流线的起点。
流线型跳过遮罩区域和 NaN 值。
即使超过单个网格单元内的线条限制，流线也不会中断。

import numpy as np
import matplotlib.pyplot as plt


w = 3
Y, X = np.mgrid[-w:w:100j, -w:w:100j]
U = -1 - X**2 + Y
V = 1 + X - Y**2
speed = np.sqrt(U**2 + V**2)

fig, axs = plt.subplots(3, 2, figsize=(7, 9), height_ratios=[1, 1, 2])
axs = axs.flat

#  Varying density along a streamline
axs[0].streamplot(X, Y, U, V, density=[0.5, 1])
axs[0].set_title('Varying Density')

# Varying color along a streamline
strm = axs[1].streamplot(X, Y, U, V, color=U, linewidth=2, cmap='autumn')
fig.colorbar(strm.lines)
axs[1].set_title('Varying Color')

#  Varying line width along a streamline
lw = 5*speed / speed.max()
axs[2].streamplot(X, Y, U, V, density=0.6, color='k', linewidth=lw)
axs[2].set_title('Varying Line Width')

# Controlling the starting points of the streamlines
seed_points = np.array([[-2, -1, 0, 1, 2, -1], [-2, -1,  0, 1, 2, 2]])

strm = axs[3].streamplot(X, Y, U, V, color=U, linewidth=2,
                         cmap='autumn', start_points=seed_points.T)
fig.colorbar(strm.lines)
axs[3].set_title('Controlling Starting Points')

# Displaying the starting points with blue symbols.
axs[3].plot(seed_points[0], seed_points[1], 'bo')
axs[3].set(xlim=(-w, w), ylim=(-w, w))

# Create a mask
mask = np.zeros(U.shape, dtype=bool)
mask[40:60, 40:60] = True
U[:20, :20] = np.nan
U = np.ma.array(U, mask=mask)

axs[4].streamplot(X, Y, U, V, color='r')
axs[4].set_title('Streamplot with Masking')

axs[4].imshow(~mask, extent=(-w, w, -w, w), alpha=0.5, cmap='gray',
              aspect='auto')
axs[4].set_aspect('equal')

axs[5].streamplot(X, Y, U, V, broken_streamlines=False)
axs[5].set_title('Streamplot with unbroken streamlines')

plt.tight_layout()
plt.show()

变化的密度、变化的颜色、变化的线宽、控制起点、带遮罩的流线图、带不间断流线的流线图

参考

此示例中显示了以下函数、方法、类和模块的使用：

脚本总运行时间：（0分4.076秒）

由 Sphinx-Gallery 生成的画廊