Python：使用给定的列为带有 x 轴的 Pandas 数据框绘制条形图
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Python: Plot a bar graph for a pandas data frame with x axis using a given column
提问by Edamame
I want to plot a bar chart for the following pandas data frame on Jupyter Notebook.
我想在 Jupyter Notebook 上为以下 Pandas 数据框绘制条形图。
| Month | number
-------------------------
0 | Apr | 6.5
1 | May | 7.3
2 | Jun | 3.9
3 | Jul | 5.1
4 | Aug | 4.1
I did:
我做了：
%matplotlib notebook
import matplotlib.pyplot as plt
import matplotlib
matplotlib.style.use('ggplot')
trend_df.plot(kind='bar')
How do I make sure x-axis is actually showing month here?
我如何确保 x 轴在此处实际显示月份？
回答by lanery
You can simply specify xand yin your call to plotto get the bar plot you want.
您可以简单地指定x和y在您的调用plot中获得您想要的条形图。
trend_df.plot(x='Month', y='number', kind='bar')
Given trend_dfas
给定trend_df为
In [20]: trend_df
Out[20]:
Month number
0 Apr 6.5
1 May 7.3
2 Jun 3.9
3 Jul 5.1
4 Aug 4.1
回答by SUNITHA K
store the data in a csv file.
example i named my file plot.csv
save data in following format in plot.csv
Month,number
Apr,6.5
May,7.3
Jun,3.9
Jul,5.1
Aug,4.1
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import csv
#first read the data
data = pd.read_csv('plot.csv',sep=',')
print(data)
#create a data frame
df = data.ix[-5:,['Month','number']]
#plot
df.plot(kind = 'bar')
plt.show()
#for ggplot
plt.style.use('ggplot')
df.plot()
plt.show()
