如何在 Python Pandas 中设置 Dataframe 图的标记样式？
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How to set marker style of Dataframe plot in Python Pandas?
提问by Rakesh Adhikesavan
I used df.plot() to get this plot:
我用 df.plot() 得到这个图：
I want to change the marker style to circles to make my plot look like this:
我想将标记样式更改为圆形，使我的情节如下所示：
Also, is there a way to display the y axis value above each marker point?
另外，有没有办法在每个标记点上方显示 y 轴值？
回答by cge
The marker is pretty easy. Just use df.plot(marker='o').
标记很简单。只需使用df.plot(marker='o').
Adding the y axis value above the points is a bit more difficult, as you'll need to use matplotlib directly, and add the points manually. The following is an example of how to do this:
在点上方添加 y 轴值有点困难，因为您需要直接使用 matplotlib，并手动添加点。以下是如何执行此操作的示例：
import numpy as np
import pandas as pd
from matplotlib import pylab
z=pd.DataFrame( np.array([[1,2,3],[1,3,2]]).T )
z.plot(marker='o') # Plot the data, with a marker set.
pylab.xlim(0,3) # Change the axes limits so that we can see the annotations.
pylab.ylim(0,4)
ax = pylab.gca()
for i in z.index: # iterate through each index in the dataframe
for v in z.ix[i].values: # and through each value being plotted at that index
# annotate, at a slight offset from the point.
ax.annotate(str(v),xy=(i,v), xytext=(5,5), textcoords='offset points')
