我试图用pyplot绘制一个简单的图形，例如:
import matplotlib.pyplot as plt
plt.plot([1,2,3],[5,7,4])
plt.show()
但是这个图没有出现，我得到了以下消息:
UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
我在几个地方看到必须使用以下命令更改matplotlib的配置:
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
我这样做了，但得到了一个错误消息，因为它找不到一个模块:
ModuleNotFoundError: No module named 'tkinter'
然后，我尝试使用pip install tkinter(在虚拟环境中)安装“tkinter”，但它没有找到它:
Collecting tkinter
Could not find a version that satisfies the requirement tkinter (from versions: )
No matching distribution found for tkinter
我还应该提到，我是在使用虚拟环境的Pycharm Community Edition IDE上运行所有这些，并且我的操作系统是Linux/Ubuntu 18.04。
我想知道我如何解决这个问题，以便能够显示图形。
这个问题的解决方法是:
确保把这条线放好
%matplotlib inline
在代码头部
像这样
# In an IPython notebook¶
# This magic just sets up matplotlib's interactive mode
%matplotlib inline
# So you have to explicitely import the module into the namespace
import matplotlib.pyplot as pl
import numpy as np
# Create the figure object
fig = pl.figure(figsize=(12, 8))
x = np.arange(0, 4 * np.pi, 0.1)
y = np.sin(x)
pl.plot(x, y)
%matplotlib inline turns on “inline plotting”, where plot graphics will appear in your notebook. This has important implications for interactivity: for inline plotting, commands in cells below the cell that outputs a plot will not affect the plot. For example, changing the color map is not possible from cells below the cell that creates a plot. However, for other backends, such as qt4, that open a separate window, cells below those that create the plot will change the plot - it is a live object in memory. If you are not using matplotlib in interactive mode at all, figures will only appear if you invoke
有关%matplotlib内联的更多信息，请参阅此链接
这个问题的解决方法是:
确保把这条线放好
%matplotlib inline
在代码头部
像这样
# In an IPython notebook¶
# This magic just sets up matplotlib's interactive mode
%matplotlib inline
# So you have to explicitely import the module into the namespace
import matplotlib.pyplot as pl
import numpy as np
# Create the figure object
fig = pl.figure(figsize=(12, 8))
x = np.arange(0, 4 * np.pi, 0.1)
y = np.sin(x)
pl.plot(x, y)
%matplotlib inline turns on “inline plotting”, where plot graphics will appear in your notebook. This has important implications for interactivity: for inline plotting, commands in cells below the cell that outputs a plot will not affect the plot. For example, changing the color map is not possible from cells below the cell that creates a plot. However, for other backends, such as qt4, that open a separate window, cells below those that create the plot will change the plot - it is a live object in memory. If you are not using matplotlib in interactive mode at all, figures will only appear if you invoke
有关%matplotlib内联的更多信息，请参阅此链接
