1. Making your first figure

This tutorial page covers the basics of creating a figure using PyGMT - a Python wrapper for the Generic Mapping Tools (GMT). It will only use the coast module for plotting. Later examples will address other PyGMT modules.

Setting up the development environment

PyGMT can be used in both a Python script and a notebook environment, such as Jupyter. The tutorial’s recommended method is to use a notebook, and the code will be for a notebook environment.

Loading the library

The first step is to import pygmt. All modules and figure generation is accessible from the pygmt top level package.

import pygmt

Creating a figure

All figure generation in PyGMT is handled by the pygmt.Figure class. Start a new figure by creating an instance of this class:

fig = pygmt.Figure()

To add to a plot object (fig in this example), the PyGMT module is used as a method on the class. This example will use the module coast, which can be used to create a map without any other modules or external data. The coast module plots the coastlines, borders, and bodies of water using a database that is included in GMT.

First, a region for the figure must be selected. This example will plot some of the coast of Maine in the northeastern US. A Python list can be passed to the region argument with the minimum and maximum X-values (longitude) and the minimum and maximum Y-values (latitude). For this example, the minimum (bottom left) coordinates are (N43.75, W69) and the maximum (top right) coordinates are (N44.75, W68). Negative values can be passed for latitudes in the southern hemisphere or longitudes in the western hemisphere.

In addition to the region, an argument needs to be passed to coast to tell it what to plot. In this example, coast will be told to plot the shorelines by passing the Boolean value True to the shorelines parameter. The shorelines parameter has other options for finer control, but setting it to True uses the default values.

fig.coast(region=[-69, -68, 43.75, 44.75], shorelines=True)

To see the figure, call pygmt.Figure.show.

fig.show()

Out:

<IPython.core.display.Image object>

Color the land and water

This figure plots all of the coastlines in the given region, but it does not indicate where the land and water are. Color values can be passed to land and water to set the colors on the figure.

When plotting colors in PyGMT, there are multiple color codes, that can be used. This includes standard GMT color names (like skyblue), R/G/B levels (like 0/0/255), a hex value (like #333333), or a graylevel (like 50). For this example, GMT color names are used.

fig = pygmt.Figure()
fig.coast(
    region=[-69, -68, 43.75, 44.75],
    shorelines=True,
    land="lightgreen",
    water="lightblue",
)
fig.show()

Out:

<IPython.core.display.Image object>

Set the projection

This figure now has its colors set, but there is no projection or size set for the map. Both of these values are set using the projection parameter.

The appropriate projection varies for the type of map. The available projections are explained in the projection gallery. For this example, the Mercator projection is set using "M". The width of the figure will be 10 centimeters, as set by "10c". The map size can also be set in inches using “i” (e.g. a 5 inch wide Mercator projection would use "M5i").

fig = pygmt.Figure()
fig.coast(
    region=[-69, -68, 43.75, 44.75],
    shorelines=True,
    land="lightgreen",
    water="lightblue",
    projection="M10c",
)
fig.show()

Out:

<IPython.core.display.Image object>

Add a frame

While that the map’s colors, projection, and size have been set, the region that is being displayed is not apparent. A frame can be added to annotate the latitude and longitude of the region.

The frame parameter is used to add a frame to the figure. For now, it will be set to True to use default settings, but later tutorials will show how frame can be used to customize the axes, gridlines, and titles.

fig = pygmt.Figure()
fig.coast(
    region=[-69, -68, 43.75, 44.75],
    shorelines=True,
    land="lightgreen",
    water="lightblue",
    projection="M10c",
    frame=True,
)
fig.show()

Out:

<IPython.core.display.Image object>

Additional exercises

This is the end of the first tutorial. Here are some additional exercises for the concepts that were discussed:

1. Make a map of Germany using its ISO country code (“DE”). Pass the ISO code as a Python string to the region parameter.

2. Change the color of the land to “khaki” and the water to “azure”.

3. Change the color of the lakes (using the lakes parameter) to “red”.

4. Create a global map. Set the region to “d” to center the map at the Prime Meridian or “g” to center the map at the International Date Line. When the region is set without using a list full of integers or floating numbers, the argument needs to be passed as a Python string. Create a 15 centimeter map using the Mollwide (“W”) projection.