有时候需要从多个角度对数据进行对比。Matplotlib为此提出了子图(subplot)的概念:在较大的图形中同时放置一组较小的坐标轴。这些子图可能是画中画(inset)、网格图(gridof plots),或者是其他更复杂的布局形式。 plt.axes创建子图 创建坐标轴最基本的方法就是使用plt.axes 函数。这个函数的默认配置是创建一个标准的坐标...
matplotlib.pyplot is a collection of command style functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc. m...
line, = ax.plot(x, y, 'go-') ax.grid() ax.axis('equal') plt.show() 3.4 散点图Scatter 3.5 极坐标图Polar plots import numpy as np import matplotlib.pyplot as plt r = np.arange(0, 2, 0.01) theta = 2 * np.pi * r fig, ax = plt.subplots(subplot_kw={'projection': 'polar...
font: 字体集(font family)、字体大小和样式设置grid: 设置网格颜色和线性 legend: 设置图例和其中的文本的显示line: 设置线条(颜色、线型、宽度等)和标记 patch: 是填充2D空间的图形对象,如多边形和圆。控制线宽、颜色和抗锯齿设置等。 savefig: 可以对保存的图形进行单独设置。例如,设置渲染的文件的背景为白色。
(16,10),'axes.labelsize':med,'axes.titlesize':med,'xtick.labelsize':med,'ytick.labelsize':med,'figure.titlesize':large}plt.rcParams.update(params)plt.style.use('seaborn-whitegrid')sns.set_style("white")%matplotlibinline# Versionprint(mpl.__version__)#> 3.0.0print(sns.__version__...
# Ensure plots are displayed inline in the notebook %matplotlib inline frommatplotlibimportpyplotasplt # Create a bar plot of name vs grade plt.bar(x=df_students.Name,height=df_students.Grade) # Display the plot plt.show() # Create a bar plot of name vs grade ...
1"""nineteenth example"""2"""子图"""3importrandom4importmatplotlib.pyplot as plt5frommatplotlibimportstyle67style.use('fivethirtyeight')#数据不存在89fig =plt.figure()1011defcreate_plots():12xs =[]13ys =[]1415foriinrange(10):16x =i17y = random.randrange(10)1819xs.append(x)20ys.append...
plt.grid():配置网格线 https://matplotlib.org/api/_as_gen/matplotlib.pyplot.grid.html plt.legend():在轴上放置图例 https://matplotlib.org/api/_as_gen/matplotlib.pyplot.legend.html plt.savefig():保存当前图形在磁盘上 https://matplotlib.org/api/_as_gen/matplotlib.pyplot.savefig.html ...
title('Parallel Coordinated of Diamonds', fontsize=22) plt.grid(alpha=0.3) plt.xticks(fontsize=12) plt.yticks(fontsize=12) plt.show() 图50 原文: Top 50 matplotlib Visualizations – The Master Plots (with full python code) https://www.machinelearningplus.com/plots/top-50-matplotlib-...
# Ensure plots are displayed inline in the notebook %matplotlib inline from matplotlib import pyplot as plt # Create a bar plot of name vs grade plt.bar(x=df_students.Name, height=df_students.Grade) # Display the plot plt.show()