Python：使用给定列绘制带有 x 轴的 pandas 数据框的条形图

Question

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

我做到了：

%matplotlib notebook
import matplotlib.pyplot as plt
import matplotlib
matplotlib.style.use('ggplot')
trend_df.plot(kind='bar')

如何确保 x 轴在此处实际显示的是月份？

Answer 1

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()

Answer 2

您只需在调用 plot 时指定 x 和 y 即可获得所需的条形图。

trend_df.plot(x='Month', y='number', kind='bar')

给定 trend_df 作为

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

Python：使用给定列绘制带有 x 轴的 pandas 数据框的条形图

Python: Plot a bar graph for a pandas data frame with x axis using a given column

python

pandas

python-ggplot

jupyter-notebook