Cartesian power

Xwidth[ppvalue]/[height[ppvalue]]: Give the width of the figure and the optional argument height. Each axis with a power transformation requires p and the exponent for that axis after its size argument.

cartesian power
<IPython.core.display.Image object>

import numpy as np
import pygmt

# Create a list of y-values 0-10
yvalues = np.arange(0, 11)
# Create a list of x-values that are the square of the y-values
xvalues = yvalues**2

fig = pygmt.Figure()
    region=[0, 100, 0, 10],
    # Set the power transformation of the x-axis, with a power of 0.5
    # Set the figures frame and color as well as
    # annotations and ticks
    # The "p" forces to show only square numbers as annotations
    # of the x-axis
    frame=["WSne+givory", "xa1p", "ya2f1"],
    # Set the line thickness to "thick" (equals "1p", i.e. 1 point)
    # Use as color "black" (default) and as style "solid" (default)
# Plot x-, y-values as points on the line
# Style of points is 0.2 cm circles, color fill is "green" with a "black"
# outline. Points are not clipped if they go off the figure
fig.plot(x=xvalues, y=yvalues, style="c0.2c", fill="green", no_clip=True, pen="black")

Total running time of the script: ( 0 minutes 1.025 seconds)

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