I would like to make the colors of the points on the scatter plot correspond to the value of the void fraction, but on a logarithmic scale to amplify differences. I did this, but now when I do plt.colorbar(), it displays the log of the void fraction, when I really want the actual void fraction. How can I make a log scale on the colorbar with the appropriate labels of the void fraction, which belongs to [0.00001,1]?
In R I can create the desired output by doing:
I want to draw a figure in matplotib where the axis are displayed within the plot itself not on the side
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
How to draw a rectangle on an image, like this:
Is there any way to plot a bar plot using matplotlib using data directly from a dict?
In python (for one figure created in a GUI) I was able to save the figure under .jpg and also .pdf by either using:
I wish to draw lines on a square graph.
I am trying to add the legend to my plot with this snippet:
I’ve been having some difficulty with Matplotlib’s finance charting. It seems like their candlestick charts work best with daily data, and I am having a hard time making them work with intraday (every 5 minutes, between 9:30 and 4 pm) data.