'''
Matplotlib -> 一个python版的matlab绘图接口,以2D为主,支持python,numpy,pandas基本数据结构,高效图标库
'''
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
#图标窗口 -> plt.show()
plt.plot(np.random.rand(10))
plt.show()
#直接生成图表
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" alt="" />
#图表窗口2:-> 魔法函数 嵌入图表
% matplotlib inline
x = np.random.randn(1000)
y = np.random.randn(1000)
plt.scatter(x,y)
#直接嵌入图表,不用plt.show()
#<matplotlib.collections.PathCollection at 0x11c96d30> 表示该图像对象
<matplotlib.collections.PathCollection at 0x11b43978>
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" alt="" />
#图表窗口:魔法窗口 可以交互的matplotlib窗口
% matplotlib notebook
s = pd.Series(np.random.randn(100))
s.plot(style = 'k--o',figsize=(10,5))
#可交互的matplotlib窗口,不用plt.show()
#可以做嵌套
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" alt="" width="851" />
Out[20]: <matplotlib.axes._subplots.AxesSubplot at 0x157b4780>
#图表窗口4: 魔法函数 弹出matplotlib控制台
%matplotlib qt5
df = pd.DataFrame(np.random.rand(50,2),columns=['A','B'])
print(df)
df.hist(figsize=(12,5),color='g',alpha=0.8)
#可交互式控制台
#如果已经设置了显示方式,(比如notebook),需要重启后再运行该函数
#网页嵌入的交互性窗口 和 控制台 只能显示一个
#plt.close()
#关闭窗口
#plt.gcf().clear()
#每次清空图表内容
弹出一个交互式控制台
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