从Matplotlib Heatplot中删除空格 [英] Remove whitespace from matplotlib heatplot

问题描述

我在matplotlib中有一个加热图，要删除该加热图的北部和东部的空白，如下图所示.

I have a heatplot in matplotlib for which I want to remove the whitespace to the north and east of the plot, as shown in the image below.

这是我用来生成绘图的代码:

here is the code I'm using to generate the plots:

# plotting
figsize=(50,20)
y,x = 1,2
fig, axarry = plt.subplots(y,x, figsize=figsize)
p = axarry[1].pcolormesh(copy_matrix.values)

# put the major ticks at the middle of each cell
axarry[1].set_xticks(np.arange(copy_matrix.shape[1])+0.5, minor=False)
axarry[1].set_yticks(np.arange(copy_matrix.shape[0])+0.5, minor=False)

axarry[1].set_title(file_name, fontweight='bold')

axarry[1].set_xticklabels(copy_matrix.columns, rotation=90)
axarry[1].set_yticklabels(copy_matrix.index)

fig.colorbar(p, ax=axarry[1])

Phylo.draw(tree, axes=axarry[0])

推荐答案

最简单的方法是使用ax.axis('tight').

The easiest way to do this is to use ax.axis('tight').

默认情况下，matplotlib尝试为轴限制选择偶数"数字.如果希望将图缩放到数据的严格限制，请使用ax.axis('tight'). ax.axis('image')与之相似，但也会使热图"的单元格变成正方形.

By default, matplotlib tries to choose "even" numbers for the axes limits. If you want the plot to be scaled to the strict limits of your data, use ax.axis('tight'). ax.axis('image') is similar, but will also make the cells of your "heatmap" square.

例如:

import numpy as np
import matplotlib.pyplot as plt

# Note the non-"even" size... (not a multiple of 2, 5, or 10)
data = np.random.random((73, 78))

fig, axes = plt.subplots(ncols=3)
for ax, title in zip(axes, ['Default', 'axis("tight")', 'axis("image")']):
    ax.pcolormesh(data)
    ax.set(title=title)

axes[1].axis('tight')
axes[2].axis('image')

plt.show()

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