pandas 如何绘制数据帧？在 Python 中
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How to plot DataFrames? in Python
提问by PAstudilloE
I'm trying to plot a DataFrame, but I'm not getting the results I need. This is an example of what I'm trying to do and what I'm currently getting. (I'm new in Python)
我正在尝试绘制 DataFrame，但没有得到我需要的结果。这是我正在尝试做的事情以及我目前正在得到什么的一个例子。（我是 Python 新手）
import pandas as pd
import matplotlib.pyplot as plt
my_data = {1965:{'a':52, 'b':54, 'c':67, 'd':45},
1966:{'a':34, 'b':34, 'c':35, 'd':76},
1967:{'a':56, 'b':56, 'c':54, 'd':34}}
df = pd.DataFrame(my_data)
df.plot( style=[])
plt.show()
I'm getting the following graph, but what I need is: the years in the X axis and each line must be what is currently in X axis (a,b,c,d). Thanks for your help!!.
我得到了下图，但我需要的是：X 轴上的年份，每条线必须是 X 轴（a、b、c、d）中当前的年份。谢谢你的帮助！！。
回答by MaThMaX
import pandas as pd
import matplotlib.pyplot as plt
my_data = {1965:{'a':52, 'b':54, 'c':67, 'd':45},
1966:{'a':34, 'b':34, 'c':35, 'd':76},
1967:{'a':56, 'b':56, 'c':54, 'd':34}}
df = pd.DataFrame(my_data)
df.T.plot( kind='bar') # or df.T.plot.bar()
plt.show()
Updates:
更新：
If this is what you want:
如果这是你想要的：
df = pd.DataFrame(my_data)
df.columns=[str(x) for x in df.columns] # convert year numerical values to str
df.T.plot()
plt.show()
回答by MaxU
you can do it this way:
你可以这样做：
ax = df.T.plot(linewidth=2.5)
plt.locator_params(nbins=len(df.columns))
ax.xaxis.set_major_formatter(mtick.FormatStrFormatter('%4d'))
