pygmt.Figure

class pygmt.Figure

A GMT figure to handle all plotting.

Use the plotting methods of this class to add elements to the figure. You can preview the figure using pygmt.Figure.show and save the figure to a file using pygmt.Figure.savefig.

Unlike traditional GMT figures, no figure file is generated until you call pygmt.Figure.savefig or pygmt.Figure.psconvert.

Examples

>>> import pygmt
>>> fig = pygmt.Figure()
>>> fig.basemap(region=[0, 360, -90, 90], projection="W15c", frame=True)
>>> fig.savefig("my-figure.png")
>>> # Make sure the figure file is generated and clean it up
>>> import os
>>> os.path.exists("my-figure.png")
True
>>> os.remove("my-figure.png")

The plot region can be specified through ISO country codes (for example, "JP" for Japan):

>>> import pygmt
>>> fig = pygmt.Figure()
>>> fig.basemap(region="JP", projection="M7c", frame=True)
>>> # The fig.region attribute shows the WESN bounding box for the figure
>>> print(", ".join(f"{i:.2f}" for i in fig.region))
122.94, 145.82, 20.53, 45.52

Methods Summary

Figure.basemap(*[, region, projection, ...])	Plot base maps and frames for the figure.
Figure.coast(*[, region, projection, ...])	Plot continents, shorelines, rivers, and borders on maps.
Figure.colorbar(*[, region, projection, ...])	Plot a gray or color scale-bar on maps.
Figure.contour([data, x, y, z, annotation, ...])	Contour table data by direct triangulation.
Figure.grdcontour(grid, *[, annotation, ...])	Convert grids or images to contours and plot them on maps.
Figure.grdimage(grid, *[, img_out, frame, ...])	Project and plot grids or images.
Figure.grdview(grid, *[, region, ...])	Create 3-D perspective image or surface mesh from a grid.
Figure.histogram(data, *[, horizontal, ...])	Plots a histogram, and can read data from a file or list, array, or dataframe.
Figure.image(imagefile, *[, region, ...])	Place images or EPS files on maps.
Figure.inset(*[, position, box, projection, ...])	Create an inset figure to be placed within a larger figure.
Figure.legend([spec, position, box, region, ...])	Plot legends on maps.
Figure.logo(*[, region, projection, ...])	Plot the GMT logo.
Figure.meca(spec, scale[, convention, ...])	Plot focal mechanisms.
Figure.plot([data, x, y, size, direction, ...])	Plot lines, polygons, and symbols in 2-D.
Figure.plot3d([data, x, y, z, size, ...])	Plot lines, polygons, and symbols in 3-D.
Figure.psconvert(*[, crop, gs_option, dpi, ...])	Convert [E]PS file(s) to other formats.
Figure.rose([data, length, azimuth, sector, ...])	Plot windrose diagrams or polar histograms.
Figure.savefig(fname[, transparent, crop, ...])	Save the figure to a file.
Figure.set_panel([panel, fixedlabel, ...])	Set the current subplot panel to plot on.
Figure.shift_origin([xshift, yshift])	Shift plot origin in x and/or y directions.
Figure.show([dpi, width, method, waiting])	Display a preview of the figure.
Figure.solar([terminator, ...])	Plot day-light terminators or twilights.
Figure.subplot([nrows, ncols, figsize, ...])	Create multi-panel subplot figures.
Figure.ternary(data[, alabel, blabel, ...])	Reads (a,b,c[,z]) records from data and plots symbols at those locations on a ternary diagram.
Figure.text([textfiles, x, y, position, ...])	Plot or typeset text strings of variable size, font type, and orientation.
Figure.velo([data, vector, frame, cmap, ...])	Plot velocity vectors, crosses, anisotropy bars, and wedges.
Figure.wiggle([data, x, y, z, fillpositive, ...])	Plot z=f(x,y) anomalies along tracks.

Examples using pygmt.Figure

Color land and water

Color land and water

Political Boundaries

Political Boundaries

Shorelines

Shorelines

Cartesian, circular, and geographic vectors

Cartesian, circular, and geographic vectors

Generate points along great circles

Generate points along great circles

Line colors with a custom CPT

Line colors with a custom CPT

Line fronts

Line fronts

Line styles

Line styles

Roads

Roads

Vector heads and tails

Vector heads and tails

Wiggle along tracks

Wiggle along tracks

Basic geometric symbols

Basic geometric symbols

Color points by categories

Color points by categories

Custom symbols

Custom symbols

Datetime inputs

Datetime inputs

Multi-parameter symbols

Multi-parameter symbols

Points

Points

Points with varying transparency

Points with varying transparency

Scatter plots with a legend

Scatter plots with a legend

Text symbols

Text symbols

Vertical or horizontal bars

Vertical or horizontal bars

Calculating grid gradient and radiance

Calculating grid gradient and radiance

Clipping grid values

Clipping grid values

Contours

Contours

Create ‘wet-dry’ mask grid

Create 'wet-dry' mask grid

Images on figures

Images on figures

Sampling along tracks

Sampling along tracks

3-D Scatter plots

3-D Scatter plots

Plotting a surface

Plotting a surface

Focal mechanisms

Focal mechanisms

Velocity arrows and confidence ellipses

Velocity arrows and confidence ellipses

Double Y axes graph

Double Y axes graph

Ternary diagram

Ternary diagram

Blockmean

Blockmean

Histogram

Histogram

Rose diagram

Rose diagram

Colorbar

Colorbar

Day-night terminator line and twilights

Day-night terminator line and twilights

Inset

Inset

Inset map showing a rectangular region

Inset map showing a rectangular region

Legend

Legend

Logo

Logo

Multiple colormaps

Multiple colormaps

Coastlines and borders

Coastlines and borders

Frames, ticks, titles, and labels

Frames, ticks, titles, and labels

Plotting data points

Plotting data points

Plotting lines

Plotting lines

Plotting text

Plotting text

Setting the region

Setting the region

Adding an inset to the figure

Adding an inset to the figure

Configuring PyGMT defaults

Configuring PyGMT defaults

Creating a 3-D perspective image

Creating a 3-D perspective image

Creating a map with contour lines

Creating a map with contour lines

Making subplots

Making subplots

Performing grid histogram equalization

Performing grid histogram equalization

Plotting Earth relief

Plotting Earth relief

Plotting datetime charts

Plotting datetime charts

Plotting vectors

Plotting vectors

1. Making your first figure

1. Making your first figure

2. Create a contour map

2. Create a contour map

Azimuthal Equidistant

Azimuthal Equidistant

General Perspective

General Perspective

General Stereographic

General Stereographic

Gnomonic

Gnomonic

Lambert Azimuthal Equal Area

Lambert Azimuthal Equal Area

Orthographic

Orthographic

Albers Conic Equal Area

Albers Conic Equal Area

Equidistant conic

Equidistant conic

Lambert Conic Conformal Projection

Lambert Conic Conformal Projection

Polyconic Projection

Polyconic Projection

Cassini Cylindrical

Cassini Cylindrical

Cylindrical Stereographic

Cylindrical Stereographic

Cylindrical equal-area

Cylindrical equal-area

Cylindrical equidistant

Cylindrical equidistant

Mercator

Mercator

Miller cylindrical

Miller cylindrical

Oblique Mercator, 1: origin and azimuth

Oblique Mercator, 1: origin and azimuth

Oblique Mercator, 2: two points

Oblique Mercator, 2: two points

Oblique Mercator, 3: origin and pole

Oblique Mercator, 3: origin and pole

Transverse Mercator

Transverse Mercator

Universal Transverse Mercator

Universal Transverse Mercator

Eckert IV

Eckert IV

Eckert VI

Eckert VI

Hammer

Hammer

Mollweide

Mollweide

Robinson

Robinson

Sinusoidal

Sinusoidal

Van der Grinten

Van der Grinten

Winkel Tripel

Winkel Tripel

Cartesian linear

Cartesian linear

Cartesian logarithmic

Cartesian logarithmic

Cartesian power

Cartesian power

Polar

Polar