In Matplotlib, what does the argument mean in fig.add_subplot(111)?
Sometimes I come across code such as this:
matplotlib
Moving matplotlib legend outside of the axis makes it cutoff by the figure box
I’m familiar with the following questions:
How to share x axes of two subplots after they have been created
I’m trying to share two subplots axis, but I need to share x axis after the figure was created.
So, for instance, I create this figure:
how do I make a single legend for many subplots with matplotlib?
I am plotting the same type of information, but for different countries, with multiple subplots with matplotlib. That is, I have 9 plots on a 3×3 grid, all with the same for lines (of course, different values per line).
Specifying and saving a figure with exact size in pixels
Say I have an image of size 3841 x 7195 pixels. I would like to save the contents of the figure to disk, resulting in an image of the exact size I specify in pixels.
Changing the formatting of a datetime axis in matplotlib
I have a series whose index is datetime that I wish to plot. I want to plot the values of the series on the y axis and the index of the series on the x axis. The Series looks as follows:
python matplotlib update scatter plot from a function
I am trying to automatically update a scatter plot.
The source of my X and Y values is external, and the data is pushed automatically into my code in a non-predicted time intervals (rounds).
Is it possible to plot implicit equations using Matplotlib?
I would like to plot implicit equations (of the form f(x, y)=g(x, y) eg. X^y=y^x) in Matplotlib. Is this possible?
Hiding axis text in matplotlib plots
I’m trying to plot a figure without tickmarks or numbers on either of the axes (I use axes in the traditional sense, not the matplotlib nomenclature!). An issue I have come across is where matplotlib adjusts the x(y)ticklabels by subtracting a value N, then adds N at the end of the axis.
Make contour of scatter
In python, If I have a set of data