I’m working on a documentation (personal) for nested matplotlib (MPL) library, which differs from MPL own provided, by interested submodule packages. I’m writing Python script which I hope will automate document generation from future MPL releases.
I selected interested submodules/packages and want to list their main classes from which I’ll generate list and process it with pydoc
I want to make some modifications to a few selected tick labels in a plot.
I am writing a quick-and-dirty script to generate plots on the fly. I am using the code below (from Matplotlib documentation) as a starting point:
I’m trying to use matplotlib to read in an RGB image and convert it to grayscale.
I was looking for a way to annotate my bars in a Pandas bar plot with the rounded numerical values from my DataFrame.
I generated a bar plot, how can I display the value of the bar on each bar?
I’m trying to create a plot using pyplot that has a discontinuous x-axis. The usual way this is drawn is that the axis will have something like this:
I have a few Pandas DataFrames sharing the same value scale, but having different columns and indices. When invoking df.plot(), I get separate plot images. what I really want is to have them all in the same plot as subplots, but I’m unfortunately failing to come up with a solution to how and would highly appreciate some help.
Matplotlib offers these functions:
I am trying to make a simple scatter plot in pyplot using a Pandas DataFrame object, but want an efficient way of plotting two variables but have the symbols dictated by a third column (key). I have tried various ways using df.groupby, but not successfully. A sample df script is below. This colours the markers … Read more