pygmt.Figure.shift_origin

Figure.shift_origin(xshift=None, yshift=None)

Shift plot origin in x and/or y directions.

This method shifts the plot origin relative to the current origin by xshift and yshift in x and y directions, respectively. Optionally, append the length unit (c for centimeters, i for inches, or p for points) to the shifts. Default unit if not explicitly given is c, but can be changed to other units via PROJ_LENGTH_UNIT.

For xshift, a special character w can also be used, which represents the bounding box width of the previous plot. The full syntax is [[±][f]w[/d]±]xoff, where optional signs, factor f and divisor d can be used to compute an offset that may be adjusted further by ±xoff. Assuming that the previous plot has a width of 10 centimeters, here are some example values for xshift:

  • "w": x-shift is 10 cm

  • "w+2c": x-shift is 10+2=12 cm

  • "2w+3c": x-shift is 2*10+3=23 cm

  • "w/2-2c": x-shift is 10/2-2=3 cm

Similarly, for yshift, a special character h can also be used, which is the bounding box height of the previous plot.

Note: The previous plot bounding box refers to the last object plotted, which may be a basemap, image, logo, legend, colorbar, etc.

Parameters:

Examples

>>> import pygmt
>>> fig = pygmt.Figure()
>>> fig.basemap(region=[0, 10, 0, 10], projection="X10c/10c", frame=True)
>>> # Shift the plot origin in x direction by 12 cm
>>> fig.shift_origin(xshift=12)
>>> fig.basemap(region=[0, 10, 0, 10], projection="X14c/10c", frame=True)
>>> # Shift the plot origin in x direction based on the previous plot width
>>> # Here, the width is 14 cm, and xshift is 16 cm
>>> fig.shift_origin(xshift="w+2c")
>>> fig.show()

Examples using pygmt.Figure.shift_origin

Connection lines

Connection lines

Envelope

Envelope

Line segment caps and joints

Line segment caps and joints

Calculating grid gradient and radiance

Calculating grid gradient and radiance

Clipping grid values

Clipping grid values

Cross-section along a transect

Cross-section along a transect

3-D scatter plots

3-D scatter plots

Blockmean

Blockmean

Scatter plot with histograms

Scatter plot with histograms

Coastlines and borders

Coastlines and borders

Cartesian histograms

Cartesian histograms

Configuring PyGMT defaults

Configuring PyGMT defaults

Making subplots

Making subplots

Polar

Polar