plot_pie
The plot_pie method creates pie charts using data from Deephaven tables.
Syntax
plot_pie(
series_name: str,
t: Union[Table, SelectableDataSet],
category: Union[str, list[int], list[float]],
y: Union[str, list[int], list[float], list[DateTime]],
) -> Figure
Parameters
| Parameter | Type | Description |
|---|---|---|
| series_name | str | The name (as a String) you want to use to identify the series on the plot itself. |
| t | Union[Table, SelectableDataSet] | The table (or other selectable data set) that holds the data to be plotted. |
| category | Union[str, list[str], list[int], list[float]] | The name of the column containing category values. |
| y | Union[str, list[int], list[float], list[DateTime]] | The name of the column containing discrete values. |
Returns
A pie chart.
Examples
The following example plots data from a Deephaven table.
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",
)
.chart_title(title="Expenses per region")
.show()
)
- new_plot
- insurance
- insurance_by_region