importmatplotlib.pyplotasplt# 将厘米转换为英寸cm=1/2.54# 1 英寸 = 2.54 厘米# 创建一个 20x15 厘米的 Figurefig,ax=plt.subplots(figsize=(20*cm,15*cm))# 绘制数据ax.plot([1,2,3,4],[1,4,2,3],label='Data from how2matplotlib.com')ax.set_title('Figure Size in Centimeters')ax.set_...
().reset_index(name='counts') # Draw Stripplot fig, ax = plt.subplots(figsize=(16,10), dpi= 80) sns.stripplot(df_counts.cty, df_counts.hwy, size=df_counts.counts*2, ax=ax) # Decorations plt.title('Counts Plot - Size of circle is bigger as more points overlap', fontsize=22) ...
importnumpyasnpimportmatplotlib.pyplotasplt x=np.arange(0,10,0.005)y=np.exp(-x/2.)*np.sin(2*np.pi*x)fig=plt.figure()ax=fig.add_subplot(111)ax.plot(x,y)ax.set_xlim(0,10)ax.set_ylim(-1,1)plt.show() 你可以使用ax.transData实例将数据变换为显示坐标系,无论是单个点或是一系列点...
importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,10,10)y=np.sin(x)plt.figure(figsize=(10,6))plt.scatter(x,y,s=100,label='how2matplotlib.com')plt.title('Scatter Plot with Bigger Dots')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.show() Python Copy Output: ...
24 分组密度曲线图(Joy Plot) 25 分布式包点图 (Distributed Dot Plot) 26 箱形图 (Box Plot) 27 包点+箱形图 (Dot + Box Plot) 28 小提琴图 (Violin Plot) 29 人口金字塔 (Population Pyramid) 30 分类图 (Categorical Plots) 20 连续变量的直方图 (Histogram for Continuous Variable) ...
Matplotlib tutorial for beginner. Contribute to rougier/matplotlib-tutorial development by creating an account on GitHub.
mplot3d 工具包支持3d作图,比如曲面,线框,散点等。 python # This import registers the 3D projection, but is otherwise unused. from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import import matplotlib.pyplot as plt from matplotlib import cm from matplotlib.ticker import LinearLocator, ...
import matplotlib.pyplot as plt import numpy as np if __name__ == '__main__': #pyplot 风格x = np.linspace(0, 2, 100) plt.figure(figsize=(5, 2.7), layout='constrained') plt.plot(x, x, label='linear') plt.plot(x, x ** 2, label='quadratic') ...
In addition you have to create an array with values (from 0 to 100), one value for each point in the scatter plot:Example Create a color array, and specify a colormap in the scatter plot: import matplotlib.pyplot as pltimport numpy as npx = np.array([5,7,8,7,2,17,2,9,4,11...
plot(a); 1. 2. 以下是一个二维数据绘图的小例: import matplotlib.pyplot as plt plt.plot([0,2,4,6,8],[3,2,1,4,5]) plt.ylabel("grade") plt.axis([-1,10,0,6]) plt.savefig("test",dpi=200) # dpi(Dots Per Inch,每英寸点数,代表图形质量) ...