python中的常见作图♀?♀本篇博文主要介绍一下python中常见的作图方式线形图import matplotlib.pyplot as pltimport numpy as np#生成数据x = np.arange(0, 10, 0.2)y = np.sin(x)# 生成图形plt.plot(x, y)plt.show()或者是类似matlab的代码风格,两者结果类似。# Matlab 风格from pylab import *x = arange(0, 10, 0.2)y = sin(x)plot(x, y)show()在一个图形中画多张子图，类似于matlab中的subplot函数。import matplotlib.pyplot as pltimport numpy as npx = np.arange(0, 10, 0.2)y = np.sin(x)z = np.cos(x)# 在第一个坐标轴上,画上正弦信号fig, axs = plt.subplots(nrows=2, ncols=1)axs[0].plot(x, y)axs[0].set_ylabel('Sine')# 第二个坐标轴axs[1].plot(x, z)axs[1].set_ylabel('Cosine')plt.show()散点图# 单变量数据import numpy as npimport matplotlib.pyplot as pltimport pandas as pdimport scipy.stats as statsimport seaborn as sns# 生成数据x = np.random.randn(500)# 绘制图形plt.plot(x, '.')plt.show()# 展示直方图# 直方图import numpy as npimport matplotlib.pyplot as pltimport pandas as pdimport scipy.stats as statsimport seaborn as sns# 生成数据x = np.random.randn(500)plt.hist(x, bins=25)柱形图import numpy as npimport matplotlib.pyplot as pltimport pandas as pdimport scipy.stats as statsimport seaborn as snsdf = pd.DataFrame(np.random.rand(10, 4), columns=['a', 'b', 'c', 'd'])df.plot(kind='bar', grid = False)饼图# 饼图import seaborn as snsimport matplotlib.pyplot as plttxtLabels = 'Cats', 'Dogs', 'Frogs', 'Others'fractions = [45, 30, 15, 10]offsets = (0, 0.05, 0, 0)plt.pie(fractions, explode=offsets, labels=txtLabels, autopct='1.1f%%', shadow=True, startangle=90, colors=sns.color_palette('muted'))plt.axis('equal')
