Pandas DataFrame plot 绘制饼状图和柱状图

环境信息

• ModelArts
  • Notebook - Multi-Engine 2.0 (python3)
    • JupyterLab - Notebook - Conda-python3
      • pandas 1.1.5

Pandas DataFrame plot 绘制饼状图和柱状图

import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randint(100,size=(3,1)),columns=['num'])
df

# 饼图
# 显示的小数位数 autopct='%.3f%%'
df.plot(kind="pie",subplots=True,autopct='%.3f%%')

# 柱状图
df.plot(kind="bar")

help

# 选取前半部分，主要看一下 kind ，即可以绘制的图表类型
help(df.plot)

Help on PlotAccessor in module pandas.plotting._core object:

class PlotAccessor(pandas.core.base.PandasObject)
 |  Make plots of Series or DataFrame.
 |  
 |  Uses the backend specified by the
 |  option ``plotting.backend``. By default, matplotlib is used.
 |  
 |  Parameters
 |  ----------
 |  data : Series or DataFrame
 |      The object for which the method is called.
 |  x : label or position, default None
 |      Only used if data is a DataFrame.
 |  y : label, position or list of label, positions, default None
 |      Allows plotting of one column versus another. Only used if data is a
 |      DataFrame.
 |  kind : str
 |      The kind of plot to produce:
 |  
 |      - 'line' : line plot (default)
 |      - 'bar' : vertical bar plot
 |      - 'barh' : horizontal bar plot
 |      - 'hist' : histogram
 |      - 'box' : boxplot
 |      - 'kde' : Kernel Density Estimation plot
 |      - 'density' : same as 'kde'
 |      - 'area' : area plot
 |      - 'pie' : pie plot
 |      - 'scatter' : scatter plot
 |      - 'hexbin' : hexbin plot.
 
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