Note

Go to the end to download the full example code

# Cartesian power

**X***width*[**p***pvalue*][/*height*[**p***pvalue*]] or
**x***x-scale*[**p***pvalue*][/*y-scale*[**p***pvalue*]]

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 0.146 seconds)