像这样的图，我想把右边的colorbar设置成和主图一样高度
fraction可以从0.035-0.046调节以找到合适大小
但当图像的长、高对比过大时，可能不起作用
这是matplotlib包里的一个函数
from mpl_toolkits.axes_grid1 import make_axes_locatable
im = plt.imshow(data)
divider = make_axes_locatable(plt.gca())
cax = divider.append_axes("right", size="5%", pad="3%")
plt.colorbar(im, cax=cax)
不适用于有投影参数的axe（会报错），如cartopy的GeoAxes
https://stackoverflow.com/questions/18195758/set-matplotlib-colorbar-size-to-match-graph @Matthias
import matplotlib.pyplot as plt
from mpl_toolkits import axes_grid1
def add_colorbar(im, aspect=20, pad_fraction=0.5, **kwargs):
"""Add a vertical color bar to an image plot."""
divider = axes_grid1.make_axes_locatable(im.axes)
width = axes_grid1.axes_size.AxesY(im.axes, aspect=1./aspect)
pad = axes_grid1.axes_size.Fraction(pad_fraction, width)
current_ax = plt.gca()
cax = divider.append_axes("right", size=width, pad=pad)
plt.sca(current_ax)
return im.axes.figure.colorbar(im, cax=cax, **kwargs)
用法示例
im = plt.imshow(np.arange(200).reshape((20, 10))) add_colorbar(im)
https://stackoverflow.com/questions/18195758/set-matplotlib-colorbar-size-to-match-graph @Fei Yao
import matplotlib.pyplot as plt import numpy as np fig=plt.figure() ax = plt.axes() im = ax.imshow(np.arange(100).reshape((10,10))) # Create an axes for colorbar. The position of the axes is calculated based on the position of ax. # You can change 0.01 to adjust the distance between the main image and the colorbar. # You can change 0.02 to adjust the width of the colorbar. # This practice is universal for both subplots and GeoAxes. cax = fig.add_axes([ax.get_position().x1+0.01,ax.get_position().y0,0.02,ax.get_position().height]) plt.colorbar(im, cax=cax) # Similar to fig.colorbar(im, cax = cax)
效果展示
