How to add a legend to the plots? For example, if using several moving averages it will be useful to show a legend to map moving averages to line plots. Is clear how this is done using matplotlib but I did not
This process creates a figure with two scatter plots and a legend placed at thecenter leftof the axes’ border-box. Add a Legend to the 3D Scatter Plot in Matplotlib importmatplotlib.pyplotasplt x=[1,2,3,4,5]y=[2,1,4,5,6]z1=[i+jfor(i,j)inzip(x,y)]z2=[3*i-jfor(i,j...
plt.legend()is used to change the location of the legend of the plot in Pandas. A legend is nothing but an area of the plot. Plot legends provide clear visualization by telling the functionality of plot elements.matplotlib libraryprovides alegend()function, using this we can modify, customize...
在Matplotlib 中,添加标记非常直接,可以通过plot()函数的marker参数来设置。下面是一个基础的示例,展示如何在简单的线图中添加标记。 importmatplotlib.pyplotasplt x =[1,2,3,4,5]y =[2,3,5,7,11]plt.plot(x,y,marker='o',label='Data from how2matplotlib.com')plt.legend()...
Examples: Specify Legend Position in Graph Coordinates Matplotlib import matplotlib.pyplot as plt x = [1, 2, 3] y1 = [0.5 * i + 1 for i in x] y2 = [2 * i + 1 for i in x] fig, ax = plt.subplots(2, 1) ax[0].plot(x, y1, "b-", label="0.5x+1") ax[0].plot(x...
import matplotlib.pyplot as plt import numpy as np # Create a user-defined function to plot the graph def legend_outside(x,y1,y2): # Create the figure object fig = plt.figure(figsize=(9, 9)) # Create the axes object ax = plt.subplot(111) ...
In aprevious post, we saw how tocustomize a legendinMatplotlib. This post describes how to build customized legends in Matplotlib to includerectanglesin the handles. We will go overseveral exampleswith reproducible code snippets. Problem For various reasons you may want to add alegend with handles...
Markers –It is a markers of the scatterplot. Share –If this parameter is true, it will share the y-axis across the columns. Legend –It will add legend while using the hue variable. X_estimator –We can apply this parameter to every unique value. ...
Finally, to ensure the plot is clean and focused, you need to remove any unnecessary elements. Select and delete the legend from the chart area. Select and delete the horizontal axis of the plot (you'll see the only value 1 on it). ...
# Add title plt.title('Two-way line plot') plt.legend() plt.show() Copy Scatter Plot # Create a Figure with dpi set to 100 plt.figure(dpi=100) # Fixing random state for reproducibility np.random. seed(100) n = 20 x = np.random.rand(n) ...