pandas之绘图

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams[‘font.family‘] = [‘Artial Unicode MS‘,‘Microsoft Yahei‘, ‘SimHei‘, ‘sans-serif‘] # 解决中文乱码问题
# plt.rcParams[‘axes.unicode_minus‘] = False # simhei黑体字 符号乱码 解决
# plt.style.use(‘seaborn‘)  # 改变图像风格

# series绘图
ts = pd.Series(np.random.randn(1000),index=pd.date_range(‘1/1/2000‘,periods=1000))
ts.plot(figsize=(18,8),title=‘股票价格‘)

# DataFrame绘图
df = pd.DataFrame(
    np.random.randn(10,4).cumsum(0),
    columns=[‘A‘,‘B‘,‘C‘,‘D‘],
    index=np.arange(0,100,10)
)
df.plot()

df.plot()
df.plot(kind=‘bar‘)  # 柱状图
df.plot(kind=‘hist‘, alpha=0.5)
df.plot(kind=‘kde‘,figsize=(18,5),alpha=0.5,grid=True,legend=True) # 核密度估计
# 修改网格粗细和透明度
plt.grid(linewidth=0.2, alpha=0.5)

fig,axis = plt.subplots(2,1)  # 2,1 2行1列
df.plot.bar(ax=axis[0],alpha=0.5)
df.plot.line(ax=axis[1],color=‘red‘,alpha=0.5)

df  = pd.DataFrame(
    np.random.rand(6,4),
    index=[‘one‘,‘two‘,‘three‘,‘four‘,‘five‘,‘six‘],
    columns=pd.Index([‘A‘,‘B‘,‘C‘,‘D‘],name=‘Genus‘)
    )
df

df.plot.bar(stacked=True,alpha=0.5,legend=False)

s = pd.Series([1,1,2,3,4,4,4,4,5,6,6])
s.value_counts().plot.bar()
s.value_counts().plot.barh()