#Python subplot legend bbox to anchor how to

#Python subplot legend bbox to anchor how to

Time series with filled area and custom facetting in Matplotlib: Shows how to create a legend with both lines and patches and how to place it in an arbitrary position in a visualization with multiple panels.The Office Ratings with Python and Matplotlib: Shows how to mimic a legend from scratch when built-in functions aren't enough.Mario Kart 64 World Records with Python and Matplotlib: Showcases how to put both a legend and a colormap.Shows how to position a legend in a visualization with multiple panels and customize several aspects. One could do the same thing to place the legend on the left side of the plot. Chris Claremont's X-Men comics exploration with streamcharts in Matplotlib: One of the most beautiful charts in this collection.

Radar chart with Matplotlib: Shows how to manually overlay lines and dots in the same handle.import csv import pandas as pd import numpy as np from math import pi import matplotlib.pyplot as plt from idspec import GridSpec import seaborn as sns read csv to dataframe df pd.readcsv. pip install matplotlib pip install pandas pip install seaborn. Circular barplot with Matplotlib: Actually not a legend, but a colorbar with discrete scales that looks very cool. Possible solution is the following: The dataset can be found HERE.By default, the inset is offset by some points from the axes, controlled via the borderpad parameter.

Wouldn't it be really cool to see how these things are used in real-life examples? Of course it would! The following is a list of highly customized visualizations made in Matplotlib that contain beautiful legends made with the tricks shown above. The insetlocator 's insetaxes allows easily placing insets in the corners of the axes by specifying a width and height and optionally a location (loc) that accepts locations as codes, similar to legend.