【数据分析与可视化】Pandas绘图之DataFrame

import numpy as np
import pandas as pd 
import matplotlib.pyplot as plt
from pandas import Series,DataFrame

df = DataFrame(
    # 范围1~10取40个
    np.random.randint(1,10,40).reshape(10,4),
    columns=['A','B','C','D']
)
df

# 按列名画图
# 默认按DataFrame每列画一条曲线
# 参数和Series一样可以设置
df.plot(kind='barh')

<matplotlib.axes._subplots.AxesSubplot at 0x119f0a850>

# 图像堆叠
df.plot(kind='bar', stacked=True)

<matplotlib.axes._subplots.AxesSubplot at 0x119585cd0>

# 填充方式
df.plot(kind='area')

# 除了上述对列取值，对行取值
a = df.iloc[5]
a

A    5
B    9
C    2
D    6
Name: 5, dtype: int64

type(a)

pandas.core.series.Series

# 某一行取值
df.iloc[5].plot()

<matplotlib.axes._subplots.AxesSubplot at 0x11b5daa90>

# 取所有的行
for i in df.index:
    df.iloc[i].plot(label = str(i))
plt.legend()

<matplotlib.legend.Legend at 0x11b4ed790>

# 更简单的取所有行操作 转置
df.T.plot()

# 取一列
df['A'].plot()

<matplotlib.axes._subplots.AxesSubplot at 0x11ae7fc10>