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# Plotting scatter plot with category in Matplotlib

schedule Mar 5, 2023
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PythonMatplotlib
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# Basic example of plotting scatter plot with integer categories

Drawing a scatter plot when we have integer categories is simple:

``` import matplotlib.pyplot as pltys = [6,3,6,5,8,5,7]xs = [2,3,5,4,4,4,6]labels = [0,1,1,1,0,1,1]scatter = plt.scatter(xs, ys, c=labels)plt.legend(handles=scatter.legend_elements(), labels=[0,1])plt.show() ```

This generates the following plot: # Basic example of plotting scatter plot with string categories

To plot a scatter plot with string (non-integer) categories, use the following code:

``` import matplotlib.pyplot as pltimport pandas as pdlabels = ['A','B','A','C']classes = pd.Categorical(labels).codes # convert labels into array of integersscatter = plt.scatter([5,2,3,3], [1,2,4,1], c=classes)plt.legend(handles=scatter.legend_elements(), labels=labels)plt.show() ```

This results in the following plot: Here, we are first converting our string labels into numerical values using Pandas' `Categorical(~) `function:

``` classes = pd.Categorical(labels).codesclasses array([0, 1, 0, 2], dtype=int8) ```

# Plotting scatter plot with categories using custom colors

To plot a scatter plot with categories, use `ListedColormap`:

``` import matplotlib.pyplot as pltfrom matplotlib.colors import ListedColormapimport pandas as pdlabels = ['A','B','A','C']classes = pd.Categorical(labels).codescolours = ListedColormap(['g','blue','#EA131B'])scatter = plt.scatter([5,2,3,3], [1,2,4,1], c=classes, cmap=colours)plt.legend(handles=scatter.legend_elements(), labels=labels)plt.show() ```

This produces the following plot: thumb_up
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