Creating a map with contour lines

Plotting a contour map is handled by pygmt.Figure.grdcontour.

Note

This tutorial assumes the use of a Python notebook, such as IPython or Jupyter Notebook. To see the figures while using a Python script instead, use fig.show(method="external") to display the figure in the default PDF viewer.

To save the figure, use fig.savefig("figname.pdf") where "figname.pdf" is the desired name and file extension for the saved figure.

import pygmt

# Load sample earth relief data
grid = pygmt.datasets.load_earth_relief(resolution="05m", region=[-92.5, -82.5, -3, 7])

Out:

grdblend [NOTICE]: Remote data courtesy of GMT data server OCEANIA [https://oceania.generic-mapping-tools.org]
grdblend [NOTICE]: Earth Relief at 5x5 arc minutes from Gaussian Cartesian filtering (9 km fullwidth) of SRTM15+V2.1 [Tozer et al., 2019].
grdblend [NOTICE]:   -> Download 180x180 degree grid tile (earth_relief_05m_p): S90W180

Create contour plot

The pygmt.Figure.grdcontour method takes the grid input. It plots annotated contour lines, which are thicker and have the elevation/depth written on them, and unannotated contour lines. In the example below, the default contour line intervals are 500 meters, with an annotated contour line every 1000 meters. By default, it plots the map with the equidistant cylindrical projection and with no frame.

contour map

Out:

<IPython.core.display.Image object>

Contour line settings

Use the annotation and interval arguments to adjust contour line intervals. In the example below, there are contour intervals every 250 meters and annotated contour lines every 1,000 meters.

fig = pygmt.Figure()
fig.grdcontour(
    annotation=1000,
    interval=250,
    grid=grid,
)
fig.show()
contour map

Out:

<IPython.core.display.Image object>

Contour limits

The limit argument sets the minimum and maximum values for the contour lines. The argument takes the low and high values, and is either a list (as below) or a string limit="-4000/-2000".

fig = pygmt.Figure()
fig.grdcontour(
    annotation=1000,
    interval=250,
    grid=grid,
    limit=[-4000, -2000],
)
fig.show()
contour map

Out:

<IPython.core.display.Image object>

Map settings

The pygmt.Figure.grdcontour method accepts additional arguments, including setting the projection and frame.

fig = pygmt.Figure()
fig.grdcontour(
    annotation=1000,
    interval=250,
    grid=grid,
    limit=[-4000, -2000],
    projection="M10c",
    frame=True,
)
fig.show()
contour map

Out:

<IPython.core.display.Image object>

Adding a colormap

The pygmt.Figure.grdimage method can be used to add a colormap to the contour map. It must be called prior to pygmt.Figure.grdcontour to keep the contour lines visible on the final map. If the projection argument is specified in the pygmt.Figure.grdimage method, it does not need to be repeated in the pygmt.Figure.grdcontour method.

fig = pygmt.Figure()
fig.grdimage(
    grid=grid,
    cmap="haxby",
    projection="M10c",
    frame=True,
)
fig.grdcontour(
    annotation=1000,
    interval=250,
    grid=grid,
    limit=[-4000, -2000],
)
fig.show()
contour map

Out:

<IPython.core.display.Image object>

Total running time of the script: ( 0 minutes 13.750 seconds)

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