Xwidth[ppvalue][/height[ppvalue]] or xx-scale[ppvalue][/y-scale[ppvalue]]
Give the width of the figure and the optional argument height. The lower-case version x is similar to X but expects an x-scale and an optional y-scale. Each axis with a power transformation requires p and the exponent for that axis after its size argument.
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() fig.plot( region=[0, 100, 0, 10], # Set the power transformation of the x-axis, with a power of 0.5 projection="X15cp0.5/10c", # 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) pen="thick,black,solid", x=xvalues, y=yvalues, ) # 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") fig.show()
Total running time of the script: (0 minutes 0.684 seconds)