Adding a legend to PyPlot in Matplotlib in the simplest manner possible
TL;DR -> How can one create a legend for a line graph in Matplotlib‘s PyPlot without creating any extra variables?
TL;DR -> How can one create a legend for a line graph in Matplotlib‘s PyPlot without creating any extra variables?
What is the difference between the Axes.plot() and pyplot.plot() methods? Does one use another as a subroutine?
I was unsuccessful browsing web for a solution for the following simple question: How to draw 3D polygon (say a filled rectangle or triangle) using vertices values? I have tried many ideas but all failed, see: from mpl_toolkits.mplot3d import Axes3D from matplotlib.collections import PolyCollection import matplotlib.pyplot as plt fig = plt.figure() ax = Axes3D(fig) x … Read more
Matplotlib is the whole package; pylab is a module in matplotlib that gets installed alongside matplotlib; and matplotlib.pyplot is a module in matplotlib.
Based on this question about heatmaps in matplotlib, I wanted to move the x-axis titles to the top of the plot.
I’ve spent hours on trying to do what I thought was a simple task, which is to add labels onto an XY plot while using seaborn.
I am interested in plotting a legend in my scatterplot. My current code looks like this
I would like to limit the X and Y axis in matplotlib for a specific subplot. The subplot figure itself doesn’t have any axis property. I want for example to change only the limits for the second plot: import matplotlib.pyplot as plt fig=plt.subplot(131) plt.scatter([1,2],[3,4]) fig=plt.subplot(132) plt.scatter([10,20],[30,40]) fig=plt.subplot(133) plt.scatter([15,23],[35,43]) plt.show() Answers: Thank you for visiting the … Read more
Is there any way to plot a bar plot using matplotlib using data directly from a dict?
I want to plot a graph with a lot of ticks on the X axis using the following code: