Scatter() plot pandas in Python

A data visualization method that displays the relationship between two numerical variables is called a scatter plot. In Python, there is a class named DataFrame that can be used to plot to scatter plots using pandas, and this class's member is called plot. By using the scatter() function on the plot component, a pandas DataFrame plot is drawn between two variables or two columns.

Utilizing a Pandas DataFrame for a scatter plot

• The plot is a member of the Python pandas DataFrame class.
• Drawing a scatter plot between two specified columns of a pandas DataFrame requires calling the scatter() function on the plot component.
• Multiple columns are possible in a pandas DataFrame.
• The scatter() method's X and Y inputs can be any two columns.

Syntax

Here, the syntax shows how to write code for the scatter() method:

The following are the syntax parameters for the scatter() method:

• X_axis value - An array holding the scatter plot's x-axis data.
• Y_ axis value - a data array for the y-axis.
• S stands for the marker's size (can be scalar or array of size equal to the size of x or y)
• c- the order of the markers' colors

Examples

Here are various examples of scatter plots of pandas with different parameters. We can see the many scatter plots with a given size, color, and other functions.

Example1: the following example shows a scatter plot using the pandas. We can see the plot values in the x and y-axis position with essential tuples.

Output

The following image shows a scatter plot of the pandas.

Example2: the following example shows a scatter plot using the pandas dataframe. Here, we use string and numerical values for scatter plots.

Output

The following image shows a scatter plot with value in Python.

Example3: the following example shows a scatter plot using Python. Here, we use color to the tuple of the scatter plot.

Output

The following image shows a scatter plot with value in Python.

Example4: the following example shows a scatter plot using Python. Here, we use the required size of the tuple of the scatter plot.

Output

The following image shows a scatter plot with value in Python.

Example5: the following example shows a scatter plot using Python. Here, we use the required size of the tuple of the scatter plot with edge color.

Output

The following image shows a scatter plot with value in Python.

Example6: the following example shows a scatter plot using Python. Here, we use the required size of the tuple of the scatter plot with edge color and line width.

Output

The following image shows a scatter plot with value in Python.

Example7: the following example shows a scatter plot using Python. Here, we use the required size of the tuple of the scatter plot with a different color.

Output

The following image shows a scatter plot with value in Python.

Example8: the following example shows a scatter plot using Python. Here, we use the required size of the tuple of the scatter plot with different colors and sizes

Output

The following image shows a scatter plot with value in Python.

Example9: the following example shows a scatter plot using Python. Here, we use two bar-type scatter plots in different colors for comparison purposes.

Output

The following image shows a scatter plot with value in Python.

Conclusion

The scatter plot in pandas shows multiple types of graphs using python language. Here, we can create, display, and compare large-size data on a single page. It is a user-friendly, easy, simple, and sorted method to display data using scatter plots in Pandas.