I came across a tricky issue about the matplotlib in Python. I want to create a grouped bar chart with several codes, but the chart goes wrong. Could you please offer me some advice? The code is as follows.
I have too many ticks on my graph and they are running into each other.
Let 0 <= x <= 1. I have two columns f and g of length 5000 respectively. Now I plot:
One of my favorite aspects of using the ggplot2 library in R is the ability to easily specify aesthetics. I can quickly make a scatterplot and apply color associated with a specific column and I would love to be able to do this with python/pandas/matplotlib. I’m wondering if there are there any convenience functions that people use to map colors to values using pandas dataframes and Matplotlib?
I’d like to make a scatter plot where each point is colored by the spatial density of nearby points.
squeeze : bool, optional, default: True
I am trying to create a stacked bar graph that replicates the picture, all my data is separate from that excel spreadsheet.
Is there a way to save a Matplotlib figure such that it can be re-opened and have typical interaction restored? (Like the .fig format in MATLAB?)
surprisingly I didn’t find a straight-forward description on how to draw a circle with matplotlib.pyplot (please no pylab) taking as input center (x,y) and radius r. I tried some variants of this:
How can multiple scales can be implemented in Matplotlib? I am not talking about the primary and secondary axis plotted against the same x-axis, but something like many trends which have different scales plotted in same y-axis and that can be identified by their colors. For example, if I have trend1 ([0,1,2,3,4]) and trend2 ([5000,6000,7000,8000,9000]) … Read more