Note
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Inset map showing a rectangular regionΒΆ
The pygmt.Figure.inset
method adds an inset figure inside a larger
figure. The function is called using a with
statement, and its position,
box, offset, and margin can be customized. Plotting methods called within the
with
statement plot into the inset figure.
![inset rectangle region](../../_images/sphx_glr_inset_rectangle_region_001.png)
Out:
<IPython.core.display.Image object>
import pygmt
# Set the region of the main figure
region = [137.5, 141, 34, 37]
fig = pygmt.Figure()
# Plot the base map of the main figure. Universal Transverse Mercator (UTM) projection
# is used and the UTM zone is set to be "54S".
fig.basemap(region=region, projection="U54S/12c", frame=["WSne", "af"])
# Set the land color to "lightbrown", the water color to "azure1", the shoreline
# width to "2p", and the area threshold to 1000 km^2 for the main figure
fig.coast(land="lightbrown", water="azure1", shorelines="2p", area_thresh=1000)
# Create an inset map, setting the position to bottom right, the width to
# 3 cm, the height to 3.6 cm, and the x- and y-offsets to
# 0.1 cm, respectively. Draws a rectangular box around the inset with a fill color
# of "white" and a pen of "1p".
with fig.inset(position="jBR+w3c/3.6c+o0.1c", box="+gwhite+p1p"):
# Plot the Japan main land in the inset using coast. "U54S/?" means UTM
# projection with map width automatically determined from the inset width.
# Highlight the Japan area in "lightbrown"
# and draw its outline with a pen of "0.2p".
fig.coast(
region=[129, 146, 30, 46],
projection="U54S/?",
dcw="JP+glightbrown+p0.2p",
area_thresh=10000,
)
# Plot a rectangle ("r") in the inset map to show the area of the main figure.
# "+s" means that the first two columns are the longitude and latitude of
# the bottom left corner of the rectangle, and the last two columns the
# longitude and latitude of the uppper right corner.
rectangle = [[region[0], region[2], region[1], region[3]]]
fig.plot(data=rectangle, style="r+s", pen="2p,blue")
fig.show()
Total running time of the script: ( 0 minutes 1.928 seconds)