If the color is the only part of the format string, you can additionally use any matpl 同时,其还支持标准颜色名称(blue)0-1的灰度值,十六进制(RRGGBB,00-FF),RGB元组,HTML颜色名称 设置图例标签 plt.plot(x, np.sin(x), '-g', label="sin(x)") plt.title("A Sine Curve") plt.xlable(...
plt.plot(x, x, label='linear') # Plot some data on the (implicit) axes. plt.plot(x, x**2, label='quadratic') # etc. plt.plot(x, x**3, label='cubic') plt.xlabel('x label') plt.ylabel('y label') plt.title("Simple Plot") plt.legend() 2、matplotlib中的概念 下面这张图...
#标准颜色名称plt.plot(x, np.sin(x-0), color='blue') #缩写颜色代码(rgbcmyk)plt.plot(x, np.sin(x-1), color='g') #范围在0~1的灰度值plt.plot(x, np.sin(x-2), color='0.75') #十六进制(RRGGBB, 00~FF)plt.plot(x, np.sin(x-3), color='#FFDD44') #RGB元组,范围在0~1plt...
CD = plt.scatter(x2, y2, c = 'red', marker = 'o', s = 10, zorder = 2) # plot line between points #ax.plot([x1,x2],[y1,y2], color = 'black', linestyle = '--', linewidth = 0.5) ax.quiver([x1, x2], [y1, y2]) scale_units选项,您需要:angles='xy', scale_units...
最基本的三维图是由(x, y, z)三维坐标点构成的线图与散点图,可以用ax.plot3D和ax.scatter3D函数来创建,默认情况下,散点会自动改变透明度,以在平面上呈现出立体感三维的线图和散点图#绘制三角螺旋线from mpl_toolkitsimport mplot3d%matplotlib inlineimport matplotlib.pyplot as pltimport python画三维散点图 ...
Adding Legends to Part of a Plot Now, let’s explore how to add legends to only a specific part of a plot in Matplotlib. We can achieve this by creating multiple plots on the same axes and adding legends only for the desired elements. ...
plt.plot(x, np.sin(x -4), color=(1.0,0.2,0.3))# RGB元组的颜色值,每个值介于0-1 plt.plot(x, np.sin(x -5), color='chartreuse');# 能支持所有HTML颜色名称值 如果没有指定颜色,Matplotlib 会在一组默认颜色值中循环使用来绘制每一条线条。
# Create the plot object _, ax = plt.subplots() # Plot the data, set the size (s), color and transparency (alpha) # of the points ax.scatter(x_data, y_data, s = 10, color = color, alpha = 0.75) if yscale_log == True: ...
matshow : Plot a matrix or an array as an image. **X:** 图像数据。支持的数组形状是: (M,N) :带有标量数据的图像。数据可视化使用色彩图。 (M,N,3) :具有RGB值的图像(float或uint8)。 (M,N,4) :具有RGBA值的图像(float或uint8),即包括透明度。
2.Bar Plot 条形图显示具有与其表示的值成比例的矩形高度或长度条的分类数据。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Bar plot.# Importing matplotlib to plot the graphs.importmatplotlib.pyplotasplt # Importing pandasforusing pandas dataframes.importpandasaspd ...