Displaying Data in a Scatterplot Can Help Us See the Extent to Which Two Variables Are

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In that location are 2 ways to create a scatterplot using data from a pandas DataFrame:

ane. Use pandas.DataFrame.plot.besprinkle

One way to create a scatterplot is to use the built-in pandas plot.scatter() function:

                          import              pandas              equally              pd  df.plot.scatter(10 = 'x_column_name', y = 'y_columnn_name')          

2. Utilize matplotlib.pyplot.scatter

Another way to create a scatterplot is to employ the Matplotlib pyplot.scatter() function:

                          import              matplotlib.pyplot              as              plt  plt.scatter(df.ten, df.y)                      

This tutorial provides an instance of how to utilise each of these methods.

Example 1: Apply Pandas

The post-obit code shows how to use the plot.scatter() function to create a simple scatterplot:

                          import              pandas              as              pd              #create DataFrame              df = pd.DataFrame({'x': [i, 3, 3, 4, five, 7, 9, 12, xiii, 15],                    'y': [5, 7, 9, seven, 6, 12, 14, 18, 15, 22]})              #create scatterplot              df.plot.scatter(x='x', y='y')                      

Annotation that you tin apply thedue south andc arguments to modify the size and color of the points, respectively:

            df.plot.besprinkle(ten='x', y='y', s=threescore, c='green')          

Example two: Use Matplotlib

The following code shows how to use the pyplot.scatter() function to create a scatterplot:

                          import              pandas              as              pd              import              matplotlib.pyplot              as              plt              #create DataFrame              df = pd.DataFrame({'x': [1, 3, 3, 4, v, 7, ix, 12, 13, 15],                    'y': [five, 7, nine, 7, six, 12, fourteen, 18, fifteen, 22]})              #create scatterplot              plt.scatter(df.ten, df.y)                      

Annotation that yous can use thes andc arguments to change the size and colour of the points, respectively:

            plt.scatter(df.ten, df.y, s=60, c='purple')          

You tin can find more Python tutorials here.

branhamhiltat69.blogspot.com

Source: https://www.statology.org/pandas-scatter-plot/

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