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...
As you can see from the above image, by default labels have been added to the bar plot. If we want to create new labels we can go with the legend() function, providesMatplotlibis a data visualization library. Add Legend to Bar plot Using thelegend()function we can add a legend to an...
yi,ci,miinzip(x,y,colors,markers):plt.scatter([xi],[yi],marker=mi,color=ci)plt.plot(x,y,label='Data from how2matplotlib.com')plt.legend()plt.show()
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) ...
Similarly, we can place the legend at any position in the figure by changing the value of the bbox_to_anchor parameter. The bbox_to_anchor parameter takes a tuple, representing the coordinate, where the corner specified by the loc parameter will be placed. import matplotlib.pyplot as plt ...
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 handlesthat consist of squares or rectangles. For some plots, such as ...
In this step-by-step guide, we will discuss what a Gantt chart is, why and when such visualizations are useful, how to make a Gantt chart in Python with matplotlib, and how to further customize it. Along the way, we'll build some Gantt chart examples in matplotlib. What Is a Gantt ...
In this article, you’ll learn how to leverage the capabilities of InfluxDB together with the flexibility and power of Matplotlib for efficiently visualizing time series data.
1.plt.rc('legend', fontsize= )Method to Specify the Matplotlib Legend Font Size fontsizecould be the integer that has the unit of points, or a size string like xx--small x-small small medium large x-large xx-large plt.rc("legend",fontsize=16) ...