![]() ![]() I can't figure out what I am doing wrong, I've tried several things hat I have found online but nothing seems to work. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. No artists with labels found to put in legend. Then, add that legend to the ax with addartist. Whenever I run this, I get a series of warnings like this: First, change your legend declaration to the following legend1. So far here's the code I have tried (avg_height and avg_weight are pretty self-explanatory and classification is the classification attributed base on the inteligence level): fig, ax = plt.subplots()įor classif in whole_info_obey.unique():įilt_data = whole_info_obey=classif]Īx.scatter(x=filt_data, y=filt_data, c=filt_data.map(color_dict)) I'm trying to scatter them by height and weight and color them by classification but I'm failing to create a legend for this graph. 2 Answers Sorted by: 8 You can use seaborn's scatterplot: fig,ax plt.subplots () sns.scatterplot (datadf, hue'category', x'attempts', y'success') plt.legend (loc2) plt.savefig ('scatter.png') plt. ![]() No legend will be generated if we dont pass labelspecies ax.scatter(. Note: Before declaring matplotlib and pyplot, it is better to declare numpy library also. In the matplotlib, there is a function called legend () which is used to place a legend on the mentioned axis. 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.I'm currently exploring a dataset from kaggle with information of dog breeds, their inteligence and their size. This post explains how to customize the legend on a chart with matplotlib. Legend: A legend is an area that describes the elements of a graph.The Office Ratings with Python and Matplotlib: Shows how to mimic a legend from scratch when built-in functions aren't enough. legendelements ('sizes'): import numpy as np import matplotlib.pyplot as plt N 50 x np.random.rand (N) y np.random.rand (N) a2 (N) sc plt.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. ![]()
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