Matplotlib 子图 y 轴刻度与上面的图重叠 [英] Matplotlib subplot y-axis scale overlaps with plot above

问题描述

我试图绘制 3 个子图，它们之间没有任何空白.默认的y轴刻度标签使用显示在y轴右上方的比例尺(在下面的示例中为1e-8)，这很好，除了下面的两个图与上面的图重叠.有人知道怎么修这个东西吗?下面是一个小例子.

I am trying to plot 3 subplots without any white space between them. The default y axis ticklabels use a scale displayed to the top right of the y axis (1e-8 in the example below), which would be fine except for the lower two plots this overlaps with the plot above. Anyone know how to fix this? A small example is below.

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib.ticker import MaxNLocator

x = np.arange(0,200)
y = np.random.rand(200) * 10e-8


fig = plt.figure(figsize=(10,15))
gs1 = gridspec.GridSpec(3, 3)
gs1.update(left=0.1, right=0.9, bottom=0.5, hspace=0.0)
ax0a = plt.subplot(gs1[0, :])
ax0b = plt.subplot(gs1[1, :])
ax0c = plt.subplot(gs1[2, :])


ax0a.set_xticklabels([])
ax0b.set_xticklabels([]) 

ax0a.plot(x,y)
nbins = len(ax0a.get_xticklabels())
ax0a.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper'))
ax0b.plot(x,y)
ax0b.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper'))
ax0c.plot(x,y)
ax0c.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper'))

所以一种解决方案是使用mtick，

so one solution is to use mtick,

import matplotlib.ticker as mtick

ax0a.yaxis.set_major_formatter(mtick.FormatStrFormatter('%.1e'))
ax0b.yaxis.set_major_formatter(mtick.FormatStrFormatter('%.1e'))
ax0c.yaxis.set_major_formatter(mtick.FormatStrFormatter('%.1e'))

但是我希望能够将比例尺向左移动，以便在可能的情况下位于轴的外部.

but I would prefer to be able to shift the scale to the left so it is outside the axis if possible.

推荐答案

您可能要查看两个选项.

I have two options you might want to look at.

首先，自己设置轴位置和大小:

First, set the axis location and size yourself as such:

# your imports and data above
fig = plt.figure()
ax0a = fig.add_axes([0.1, 0.1, 0.8, 0.25])
ax0b = fig.add_axes([0.1, 0.39, 0.8, 0.25], sharex=ax0a)
ax0c = fig.add_axes([0.1, 0.68, 0.8, 0.25], sharex=ax0a)
ax0a.set_xticklabels([])
ax0b.set_xticklabels([]) 
ax0a.plot(x,y)
nbins = len(ax0a.get_xticklabels())
ax0a.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper'))
ax0b.plot(x,y)
ax0b.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper'))
ax0c.plot(x,y)
ax0c.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper'))
plt.show()

第二个选项是手动调整偏移文本的位置和字体大小:

The second option is to manually adjust the location and maybe font size of the offset text:

# your original code minus data and imports
fig = plt.figure()
gs1 = gridspec.GridSpec(3, 3)
gs1.update(left=0.1, right=0.9, bottom=0.5, hspace=0.0)
ax0a = plt.subplot(gs1[0, :])
ax0b = plt.subplot(gs1[1, :])
ax0c = plt.subplot(gs1[2, :])
ax0a.set_xticklabels([])
ax0b.set_xticklabels([]) 
ax0a.plot(x,y)
nbins = len(ax0a.get_xticklabels())
ax0a.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper'))
ax0b.plot(x,y)
ax0b.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper'))
ax0c.plot(x,y)
ax0c.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper'))

# play around with location and font of offset text here
ax0a.get_yaxis().get_offset_text().set_x(-0.075)
ax0a.get_yaxis().get_offset_text().set_size(10)
ax0b.get_yaxis().get_offset_text().set_x(-0.075)
ax0b.get_yaxis().get_offset_text().set_size(10)
ax0c.get_yaxis().get_offset_text().set_x(-0.075)
ax0c.get_yaxis().get_offset_text().set_size(10)
plt.show()

这篇关于Matplotlib 子图 y 轴刻度与上面的图重叠的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！