Plot maps#

The imod.visualize.plot_map functionality of iMOD Python allows to create customized plots.

Import the necessary packages:

import numpy as np

import imod

Import the input data to plot:

tempdir = imod.util.temporary_directory()

lakes = imod.data.lakes_shp(tempdir)
surface_level = imod.data.ahn()["ahn"]

It is necessary to define the Matplotlib colorbar to be used and the levels for the legend as a list.

colors = "RdYlBu_r"
levels = np.arange(-15, 17.5, 2.5)

The next lines show the simplest way to plot the raster.

imod.visualize.plot_map(surface_level, colors, levels)
plot map
(<Figure size 640x480 with 2 Axes>, <AxesSubplot: >)

It is also possible to add an overlay to the previous map

overlays = [{"gdf": lakes, "facecolor": "black", "alpha": 0.3}]

imod.visualize.plot_map(surface_level, colors, levels, overlays=overlays)
plot map
(<Figure size 640x480 with 2 Axes>, <AxesSubplot: >)

Label the colorbar as follows:

imod.visualize.plot_map(
    surface_level, colors, levels, kwargs_colorbar={"label": "Surface level (m)"}
)
plot map
(<Figure size 640x480 with 2 Axes>, <AxesSubplot: >)

And to include a basemap:

import contextily as ctx

src = ctx.providers.Stamen.TonerLite
imod.visualize.plot_map(
    surface_level,
    colors,
    levels,
    basemap=src,
    kwargs_basemap={"alpha": 0.6},
    overlays=overlays,
    kwargs_colorbar={"label": "Surface level (m)"},
)
plot map
(<Figure size 640x480 with 2 Axes>, <AxesSubplot: >)

Total running time of the script: ( 0 minutes 3.368 seconds)

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