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如何在matplotlib中删除上轴和右轴？

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问题：如何在matplotlib中删除上轴和右轴？
回答 0
回答 1
回答 2
回答 3
回答 4
回答 5
回答 6

问题：如何在matplotlib中删除上轴和右轴？

而不是默认的“装箱”轴样式，我只希望有左轴和底轴，即：

+------+         |
|      |         |
|      |   --->  |
|      |         |
+------+         +-------

这应该很容易，但是我在文档中找不到必要的选项。

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Instead of the default “boxed” axis style I want to have only the left and bottom axis, i.e.:

+------+         |
|      |         |
|      |   --->  |
|      |         |
+------+         +-------

This should be easy, but I can’t find the necessary options in the docs.

回答 0

这是官方网站HERE推荐的Matplotlib 3解决方案：

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 2*np.pi, 100)
y = np.sin(x)

ax = plt.subplot(111)
ax.plot(x, y)

# Hide the right and top spines
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)

# Only show ticks on the left and bottom spines
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticks_position('bottom')

plt.show()

点击查看英文原文

This is the suggested Matplotlib 3 solution from the official website HERE:

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 2*np.pi, 100)
y = np.sin(x)

ax = plt.subplot(111)
ax.plot(x, y)

# Hide the right and top spines
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)

# Only show ticks on the left and bottom spines
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticks_position('bottom')

plt.show()

回答 1

或者，这

def simpleaxis(ax):
    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)
    ax.get_xaxis().tick_bottom()
    ax.get_yaxis().tick_left()

似乎在轴上实现了相同的效果，而不会丢失旋转的标签支撑。

（Matplotlib 1.0.1;溶液的启发此）。

点击查看英文原文

Alternatively, this

def simpleaxis(ax):
    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)
    ax.get_xaxis().tick_bottom()
    ax.get_yaxis().tick_left()

seems to achieve the same effect on an axis without losing rotated label support.

(Matplotlib 1.0.1; solution inspired by this).

回答 2

[edit] matplotlib现已发布（2013-10），版本为1.3.0，其中包括

该功能实际上只是添加的，您需要使用Subversion版本。您可以在此处查看示例代码。

我只是想说现在在线上有一个更好的例子。尽管仍然需要Subversion版本，但尚未发布。

[编辑] Matplotlib 0.99.0 RC1刚刚发布，并包含此功能。

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[edit] matplotlib in now (2013-10) on version 1.3.0 which includes this

That ability was actually just added, and you need the Subversion version for it. You can see the example code here.

I am just updating to say that there’s a better example online now. Still need the Subversion version though, there hasn’t been a release with this yet.

[edit] Matplotlib 0.99.0 RC1 was just released, and includes this capability.

回答 3

（除了此处的全面答案之外，这更多是扩展注释。）

请注意，我们可以彼此独立地隐藏这三个元素中的每个元素：

  • 隐藏边框（又称“脊椎”）：ax.set_frame_on(False)或ax.spines['top'].set_visible(False)

  • 隐藏刻度线： ax.tick_params(top=False)

  • 隐藏标签： ax.tick_params(labeltop=False)

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(This is more of an extension comment, in addition to the comprehensive answers here.)

Note that we can hide each of these three elements independently of each other:

  • To hide the border (aka “spine”): ax.set_frame_on(False) or ax.spines['top'].set_visible(False)

  • To hide the ticks: ax.tick_params(top=False)

  • To hide the labels: ax.tick_params(labeltop=False)

回答 4

如果不需要刻度线（例如用于绘制定性插图），则也可以使用以下快速解决方法：

使轴不可见（例如使用plt.gca().axison = False），然后使用手动绘制它们plt.arrow。

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If you don’t need ticks and such (e.g. for plotting qualitative illustrations) you could also use this quick workaround:

Make the axis invisible (e.g. with plt.gca().axison = False) and then draw them manually with plt.arrow.

回答 5

图书馆Seaborn具有内置的函数despine（）。

只需添加：

import seaborn as sns

现在创建图形。并在末尾添加：

sns.despine()

如果查看该函数的某些默认参数值，它将删除顶部和右侧的书脊，并保留底部和左侧的书脊：

sns.despine(top=True, right=True, left=False, bottom=False)

在此处查看更多文档：https : //seaborn.pydata.org/generation/seaborn.despine.html

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Library Seaborn has this built in with function despine().

Just add:

import seaborn as sns

Now create your graph. And add at the end:

sns.despine()

If you look at some of the default parameter values of the function it removes the top and right spine and keeps the bottom and left spine:

sns.despine(top=True, right=True, left=False, bottom=False)

Check out further documentation here: https://seaborn.pydata.org/generated/seaborn.despine.html

回答 6

如果需要从所有绘图中删除它，则可以在样式设置（样式表或rcParams）中删除刺。例如：

import matplotlib as mpl

mpl.rcParams['axes.spines.right'] = False
mpl.rcParams['axes.spines.top'] = False

如果要删除所有刺：

mpl.rcParams['axes.spines.left'] = False
mpl.rcParams['axes.spines.right'] = False
mpl.rcParams['axes.spines.top'] = False
mpl.rcParams['axes.spines.bottom'] = False
点击查看英文原文

If you need to remove it from all your plots, you can remove spines in style settings (style sheet or rcParams). E.g:

import matplotlib as mpl

mpl.rcParams['axes.spines.right'] = False
mpl.rcParams['axes.spines.top'] = False

If you want to remove all spines:

mpl.rcParams['axes.spines.left'] = False
mpl.rcParams['axes.spines.right'] = False
mpl.rcParams['axes.spines.top'] = False
mpl.rcParams['axes.spines.bottom'] = False