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Version: Python

Create pie charts

This guide shows you how to use the plot_pie method to create pie charts, which show data as sections of a circle to represent the relative proportion for each of the categories that make up the entire dataset being plotted.

Data sourcing​

From a table​

When data is sourced from a table, the following syntax can be used to create a pie plot:

from deephaven.plot.figure import Figure

new_fig = (
    Figure()
    .plot_pie(
        series_name="Series", t=source_table, category="CategoryColumn", y="ValueColumn"
    )
    .show()
)
  • Figure is the class in which pie plotting functionalities live.
  • new_fig is a pie plot created with the plot_pie method.
  • series_name is the name that will be displayed on the plot.
  • t is the table in which data will be sourced from.
  • category is the name of the column which holds the categories to place in the pie chart.
  • y is the name of the column in which the values for each category exist.
  • show tells Deephaven to draw the plot in the console.
from deephaven.plot.figure import Figure
from deephaven import read_csv

insurance = read_csv(
    "https://media.githubusercontent.com/media/deephaven/examples/main/Insurance/csv/insurance.csv"
)
insurance_by_region = insurance.view(formulas=["region", "expenses"]).sum_by(["region"])

new_plot = (
    Figure()
    .plot_pie(
        series_name="Insurance charges by region",
        t=insurance_by_region,
        category="region",
        y="expenses",
    )
    .show()
)

From an array​

When data is sourced from an array, the following syntax can be used:

.plot_pie(series_name, category, y).show()

  • plot_pie is the method used to create a pie chart.
  • series_name is the name (as a string) you want to use to identify the series on the chart.
  • category is a list containing the data to be used for the categories.
  • y is a list containing the data to be used for the values.
  • show tells Deephaven to draw the plot in the console.