pytrnsys_process.plot.plot_wrappers.scatter_plot#

pytrnsys_process.plot.plot_wrappers.scatter_plot(df: DataFrame, x_column: str, y_column: str, use_legend: bool = True, size: tuple[float, float] = (7.8, 3.9), **kwargs: Any) → tuple[Figure, Axes][source]#

Create a scatter plot to show numerical relationships between x and y variables.

Note

Use color and not cmap!

See: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.scatter.html

Parameters:

  • df (pandas.DataFrame) – the dataframe to plot

  • x_column (str) – coloumn name for x-axis values

  • y_column (str) – coloumn name for y-axis values

use_legend: bool, default ‘True’

whether to show the legend or not

size: tuple of (float, float)

size of the figure (width, height)

**kwargs :

Additional keyword arguments to pass on to pandas.DataFrame.plot.scatter().

Return type:

tuple of (matplotlib.figure.Figure, matplotlib.axes.Axes)

Examples

Simple scatter plot

>>> api.scatter_plot(
...     simulation.monthly, x_column="QSnk60dQlossTess", y_column="QSnk60dQ"
... )
../../_images/pytrnsys_process-plot-plot_wrappers-scatter_plot-1.png