Plot Pandas DataFrame as Bar and Line on the same one chart
I am trying to plot a chart with the 1st and 2nd columns of data as bars and then a line overlay for the 3rd column of data.
matplotlib
creating over 20 unique legend colors using matplotlib
I am plotting 20 different lines on a single plot using matplotlib. I use a for loop for plotting and label every line with its key and then use the legend function
How do I change the range of the x-axis with datetimes in matplotlib?
I’m trying to plot a graph of dates on the x-axis and values on the y-axis. It works fine, except that I can’t get the range of the x-axis to be appropriate. The x-axis range is always Jan 2012 to Jan 2016, despite my dates being from today. I am even specifying that xlim should be the first and last date.
how to get ticks every hour?
Consider this simple example
Scrollbar on Matplotlib showing page
I want to know if there is a manner to put a scrollbar (horizontal or vertical) on a matplotlib showing page (plt.show) that contains several sublots (sublot2grid). At the moment, the only solution I find is to make the subplots very small, which isn’t very elegant at all.
Can’t install new packages for Python (Python 3.9.0, Windows 10)
In order to upgrade and clean up, I have reset my PC and installed Windows 10. Naturally, I installed Python as I use it frequently. But when I tried to install MatPlotLib using the command “pip install matplotlib”, it shows an error message colored in red:
How do I set the figure title and axes labels font size in Matplotlib?
I am creating a figure in Matplotlib like this:
How can I plot NaN values as a special color with imshow in matplotlib?
I am trying to use imshow in matplotlib to plot data as a heatmap, but some of the values are NaNs. I’d like the NaNs to be rendered as a special color not found in the colormap.
ImportError: No module named matplotlib.pyplot
I am currently practicing matplotlib. This is the first example I practice.
Inline labels in Matplotlib
In Matplotlib, it’s not too tough to make a legend (example_legend(), below), but I think it’s better style to put labels right on the curves being plotted (as in example_inline(), below). This can be very fiddly, because I have to specify coordinates by hand, and, if I re-format the plot, I probably have to reposition the labels. Is there a way to automatically generate labels on curves in Matplotlib? Bonus points for being able to orient the text at an angle corresponding to the angle of the curve.