plot_xy_hist
The plot_xy_hist method creates XY histograms using data from Deephaven tables or arrays.
Syntax
plot_xy_hist(
series_name: str,
t: Union[Table, SelectableDataSet],
x: Union[str, List[int], List[float], List[DateTime]],
nbins: int,
xmin: float = None,
xmax: float = None,
) -> 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. |
| x | Union[str, list[int], list[float], list[DateTime]] | The name of the column containing the discrete values. This parameter is a list only when data is not sourced from a table; otherwise, it will be an array. |
| nbins | int | The number of intervals (bins) to use in the chart. |
| xmin optional | float | The minimum value in the X column to plot. |
| xmax optional | float | The maximum value in the X column to plot. |
Returns
A histogram.
Examples
The following example plots data from a Deephaven table.
from deephaven.plot.figure import Figure
from deephaven import new_table
from deephaven.column import int_col
source = new_table([int_col("Values", [1, 2, 2, 3, 3, 3, 4, 4, 5])])
new_plot = (
Figure()
.plot_xy_hist(series_name="Histogram Values", t=source, x="Values", nbins=5)
.chart_title(title="Histogram of Values")
.show()
)
- new_plot
- source
The following example plots data from an array.
from deephaven.plot.figure import Figure
import numpy as np
np_source = np.array([1, 2, 2, 3, 3, 3, 4, 4, 5])
new_plot = (
Figure()
.plot_xy_hist(
series_name="Histogram Values", x=list(np_source), xmin=2.0, xmax=4.0, nbins=5
)
.chart_title(title="Histogram of Values")
.show()
)
- new_plot