pandas Matplotlib 如何更改 matshow 的 figsize
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Matplotlib how to change figsize for matshow
提问by chinskiy
How to change figsize for matshow()in jupyter notebook?
如何在 jupyter notebook 中更改 matshow ()的 figsize？
For example this code change figure size
例如此代码更改图形大小
%matplotlib inline
import matplotlib.pyplot as plt
import pandas as pd
d = pd.DataFrame({'one' : [1, 2, 3, 4, 5],
'two' : [4, 3, 2, 1, 5]})
plt.figure(figsize=(10,5))
plt.plot(d.one, d.two)
But code below doesn't work
但是下面的代码不起作用
%matplotlib inline
import matplotlib.pyplot as plt
import pandas as pd
d = pd.DataFrame({'one' : [1, 2, 3, 4, 5],
'two' : [4, 3, 2, 1, 5]})
plt.figure(figsize=(10,5))
plt.matshow(d.corr())
回答by ImportanceOfBeingErnest
By default, plt.matshow()produces its own figure, so in combination with plt.figure()two figures will be created and the one that hosts the matshow plot is not the one that has the figsize set.
默认情况下，plt.matshow()生成自己的图形，因此plt.figure()将创建两个图形的组合，并且承载 matshow 图的图形不是具有 figsize 集的图形。
There are two options:
有两种选择：
Use the
fignumargumentplt.figure(figsize=(10,5)) plt.matshow(d.corr(), fignum=1)Plot the matshow using
matplotlib.axes.Axes.matshowinstead ofpyplot.matshow.fig, ax = plt.subplots(figsize=(10,5)) ax.matshow(d.corr())
使用
fignum参数plt.figure(figsize=(10,5)) plt.matshow(d.corr(), fignum=1)使用
matplotlib.axes.Axes.matshow代替绘制 matshowpyplot.matshow。fig, ax = plt.subplots(figsize=(10,5)) ax.matshow(d.corr())
回答by Elias Hasle
Improving on the solution by @ImportanceOfBeingErnest,
通过@ImportanceOfBeingErnest 改进解决方案，
matfig = plt.figure(figsize=(8,8))
plt.matshow(d.corr(), fignum=matfig.number)
This way you don't need to keep track of figure numbers.
这样你就不需要跟踪数字。
回答by Haeraeus
The solutions did not work for me but I found another way:
这些解决方案对我不起作用，但我找到了另一种方法：
plt.figure(figsize=(10,5))
plt.matshow(d.corr(), fignum=1, aspect='auto')
