I am generating 2D heat map plots of a set of 3D data. I would like to be able to have a mechanism to interactively page through each pane. Below is a simple sample code, I would like to be able to interactively view both panes (ie, z = [0,1]) via a slider bar (or some other means). Is this possible with matplotlib or is this something I’ll need to do post processing after generating the image files?
I’m plotting two datasets with different units on the y-axis. Is there a way to make the ticks and gridlines aligned on both y-axes?
I have a dataframe that looks like this:
It sounds somewhat weird， but I need to save the Pandas console output string to png pics. For example:
How can I plot a dendrogram right on top of a matrix of values, reordered appropriately to reflect the clustering, in Python? An example is the following figure:
Using matplotlib in python. The legend overlaps with my pie chart. Tried various options for “loc” such as “best” ,1,2,3… but to no avail. Any Suggestions as to how to either exactly mention the legend position (such as giving padding from the pie chart boundaries) or at least make sure that it does not overlap?
I have several matlpotlib functions rolled into some django-celery tasks.
I would like to have an iteratively plotted graph that allows for skipping to the next frame, stopping it and coming back to a previous frame.
Here is a very simplified example:
I’m trying to adjust the formatting of the date tick labels of the x-axis so that it only shows the Year and Month values. From what I’ve found online, I have to use mdates.DateFormatter, but it’s not taking effect at all with my current code as is. Anyone see where the issue is? (the dates are the index of the pandas Dataframe)