calcStats.py

import sys
from rios import applier
from rios import cuiprogress
import numpy

def calcstats(info, inputs, outputs):
    # Calc standard deviation of bands for each pixel
    stdev_pixels = numpy.std(inputs.inimage, axis=0)
    # Reshape to make 3-dimensional array (required for output)
    outputs.outimage = stdev_pixels.reshape((1,stdev_pixels.shape[0],stdev_pixels.shape[1]))

# Set up input and output files
infiles = applier.FilenameAssociations()
infiles.inimage = 'tmean_monthly_1980.tif'

outfiles = applier.FilenameAssociations()
outfiles.outimage = 'tstdev_1980.tif'

# Set up options for output file
controls = applier.ApplierControls()
controls.setOutputDriverName("GTiff") # Output
controls.setCalcStats(True)           # Create stats and overviews for output file
controls.progress = cuiprogress.CUIProgressBar() # Show progress

applier.apply(calcstats, infiles, outfiles, controls=controls)