verde.maxabs#
- verde.maxabs(*args, nan=True)[source]#
Calculate the maximum absolute value of the given array(s).
Use this to set the limits of your colorbars and center them on zero.
- Parameters:
- args
One or more arrays. If more than one are given, a single maximum will be calculated across all arrays.
- Returns:
- maxabs
float
The maximum absolute value across all arrays.
- maxabs
Examples
>>> result = maxabs((1, -10, 25, 2, 3)) >>> float(result) 25.0 >>> result = maxabs( ... (1, -10.5, 25, 2), (0.1, 100, -500), (-200, -300, -0.1, -499) ... ) >>> float(result) 500.0
If the array contains NaNs, we’ll use the
nan
version of of the numpy functions by default. You can turn this off through the nan argument.>>> import numpy as np >>> result = maxabs((1, -10, 25, 2, 3, np.nan)) >>> float(result) 25.0 >>> result = maxabs((1, -10, 25, 2, 3, np.nan), nan=False) >>> float(result) nan
Examples using verde.maxabs
#
Using weights in blocked reduction
Using weights in blocked reduction
Gridding with splines and weights
Gridding with splines and weights
Polynomial trend
Trends in vector data
Trend Estimation
Vector Data
Using Weights