Is it possible to add a datashader image to a set of matplotlib subplots? As a concrete example, Where I have a two by two array of matplotlib subplots and would like to replace the [0,0] plot ax_r[0] in the above example with the datashader image a. Is this possible, and if so, how? Thanks! Answer Update [January 2021] Datashader
Tag: matplotlib
How to put all legend entries on one line?
I can’t seem to find a solution. I have a legend that’s custom (using solution found here) and I’m trying to put multiple entries on one line rather than have each new entry under the previous one. How does one do? I’d like to have “(red marker) The red data, (blue marker) The blue data, etc…” all in one line
How to automatically annotate maximum value in pyplot
I’m trying to figure out how I can automatically annotate the maximum value in a figure window. I know you can do this by manually entering in x,y coordinates to annotate whatever point you want using the .annotate() method, but I want the annotation to be automatic, or to find the maximum point by itself. Here’s my code so far:
Importing matplotlib.pyplot in atom editor
I am using pyzo to run my python scripts. However I felt the need to switch over to the Atom code editor. I can run my python scripts without any problem. At one point I need to use the library matplotlib. In pyzo I would do: But it doesn’t work in Atom Error message: Traceback (most recent call last): File
How to update a histogram when a slider is used?
I want to build a histogram for the normal distribution and update the plot when the mean, standard deviation and sample size are changed; analogue to the post here. However, I struggle with the update function. In the example above and are used but how would this have to be changed when a histogram is plotted? So, I am not
Inconsistency when setting figure size using pandas plot method
I’m trying to use the convenience of the plot method of a pandas dataframe while adjusting the size of the figure produced. (I’m saving the figures to file as well as displaying them inline in a Jupyter notebook). I found the method below successful most of the time, except when I plot two lines on the same chart – then
Get default line colour cycle
I noticed when you plot that the first line is blue, then orange, then green, and so on. Is there some way to access this list of colours? I’ve seen a million posts on how to change the colour cycle or access the iterator, but not on how to just get the list of colours that matplotlib cycles through by
Plot elapsed time on x axis using date indexed time-series data
In my pandas dataframe, my time series data is indexed by absolute time (a date of format YYYY-MM-DD HH24:MI:SS.nnnnn): How can I plot this data such that the x-axis of my plots is an increasing value of some interval of seconds (e.g, “0 10 20 30 40 50”) relative to the timestamp of my first sample ? Do I need
How to remove the space between subplots in matplotlib.pyplot?
I am working on a project in which I need to put together a plot grid of 10 rows and 3 columns. Although I have been able to make the plots and arrange the subplots, I was not able to produce a nice plot without white space such as this one below from gridspec documentatation.. I tried the following posts,
How to customize and add extra elements to Sympy plots?
I have a few questions about what how to work with graphics, using Sympy. My code: 1) The graph is obtained stretched along the x axis. How to make so that the curve looked like a circle? 2) How to add other elements to the chart. For example, the point O(0, 0) and the line y = x. Answer According