DataFrame.plot.scatter(self, x, y, s=None, c=None, **kwargs)
[source]
Create a scatter plot with varying marker point size and color.
The coordinates of each point are defined by two dataframe columns and filled circles are used to represent each point. This kind of plot is useful to see complex correlations between two variables. Points could be for instance natural 2D coordinates like longitude and latitude in a map or, in general, any pair of metrics that can be plotted against each other.
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See also
matplotlib.pyplot.scatter
Let’s see how to draw a scatter plot using coordinates from the values in a DataFrame’s columns.
>>> df = pd.DataFrame([[5.1, 3.5, 0], [4.9, 3.0, 0], [7.0, 3.2, 1], ... [6.4, 3.2, 1], [5.9, 3.0, 2]], ... columns=['length', 'width', 'species']) >>> ax1 = df.plot.scatter(x='length', ... y='width', ... c='DarkBlue')
And now with the color determined by a column as well.
>>> ax2 = df.plot.scatter(x='length', ... y='width', ... c='species', ... colormap='viridis')
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https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.DataFrame.plot.scatter.html