![add title to scatter plot matplotlib add title to scatter plot matplotlib](https://i.stack.imgur.com/8f5Vh.png)
- #ADD TITLE TO SCATTER PLOT MATPLOTLIB HOW TO#
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Obviously, you could also stitch images together using other libraries and tools, but I'm sure there are different and maybe better approaches using matplotlib API's. We implemented two methods of branding plots with matplotlib, both of which require individual adjustments for each created plot. This can be addressed by providing the extent argument to imshow, but depends on the image and the subplot sizes and needs to be adjusted for each plot created like that. Here we don't need to bother about covering any features of the graph, but positioning the image can be cumbersome if the default position does not work well. Plt.savefig('img/.png'.format(helpers.slug(title)), bbox_inches='tight')
#ADD TITLE TO SCATTER PLOT MATPLOTLIB SERIES#
title = 'Random Time Series Plot with Watermark'Īx.figure.figimage(logo, 40, 40, alpha=.15, zorder=1) We then set the title on that object and add the image in the lower left corner with low opacity so it does not hide features of the graph.
![add title to scatter plot matplotlib add title to scatter plot matplotlib](https://betterplotlib.readthedocs.io/en/master/_images/examples_11_0.png)
In the first example we simply call the plot method on the Pandas Series object created above and receive a AxesSubplot object in return. Setupįirst we load the necessary libraries, use the built-in ggplot style, load the logo and create a random time series as the data is secondary for the purpose of this notebook. The first and more straightforward method uses the figimage API and the second uses subplots and the gridspec API for positioning and sizing.
#ADD TITLE TO SCATTER PLOT MATPLOTLIB HOW TO#
In this notebook I show two methods on how to add images to plots in matplotlib for branding purposes.
#ADD TITLE TO SCATTER PLOT MATPLOTLIB PROFESSIONAL#
If you are a professional publisher you probably want to make sure that people can see where these graphic originated. When you create graphics that are published on the Web, it is safe to assume that they will appear not only on your Website but elsewhere as well. Plt.Adding Branding Images to Plots in Matplotlib Python Examples Python Examples Python Compiler Python Exercises Python Quiz Python Certificate Python How To Remove List Duplicates Reverse a String Add Two Numbers Module Reference Random Module Requests Module Statistics Module Math Module cMath Module Python Reference Python Overview Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods Python File Methods Python Keywords Python Exceptions Python Glossary
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