Pandas绘图函数超详细讲解

import matplotlib.pyplot as plt
import pandas as pd
s = pd.Series([1, 2, 2.5, 3, 3.5, 4, 5])

import numpy as np
df = pd.DataFrame(np.random.rand(10,5),
    columns=['a','b','c','d','e'])
df.plot.bar(title="bar")
df.plot.barh(title="barh", stacked=True)
plt.show()

df.plot.line(title="line")
df.plot.area(title="area")
plt.show()

df.plot.box(title='box')
df.plot.kde(title='kde')
plt.show()

rdNormal = np.random.normal
rand = np.random.rand
df = pd.DataFrame({
    i : rdNormal(i,rand(),size=(1000)) for i in range(3)})
df.plot.hist(title='box', bins=30, alpha=0.5)
df.plot.density(title='density')
plt.show()

df = pd.DataFrame(np.random.rand(5,3),columns=list('abc'),index=list("ABCDE"))
df.plot.pie(title='pie', subplots=True)
plt.show()

rdNormal = np.random.normal
rand = np.random.rand
keys = ['x', 'y', 'c']
datas = {
    keys[i] : rdNormal(i,rand(),size=(1000)) for i in [0,1,2]
}
df = pd.DataFrame(datas)
df.plot.scatter(x='x', y='y', c='c')
df.plot.hexbin(x='x', y='y', gridsize=10)
plt.show()