omad

$ python2 netcdfstringstest.py py2test.nc

$ python3 netcdfstringstest.py py3test.nc

$ ncdump py2test.nc
netcdf py2test {

// global attributes:
                string :uni = "Δ" ;
                :encoded_uni = "Δ" ;

omad

omad

import numpy as np
from osgeo import gdal
import warnings
import scipy.ndimage

@click.command(help="Print an image to the terminal ")
@click.option('--size', '-s')
@click.argument('filename', type=click.Path(exists=True, readable=True))
def print_image(filename='', size=50):
    """

omad

from mpl_toolkits.basemap import Basemap
import mpl_toolkits.basemap.pyproj as pyproj
import matplotlib.pyplot as plt
import numpy as np

# make sure the value of resolution is a lowercase L,
#  for 'low', not a numeral 1
map = Basemap(projection='ortho', lat_0=-30, lon_0=130,
              resolution='l', area_thresh=1000.0)
 

omad

#!/usr/bin/env python
#
# Damien Ayers 2014
#
# Replace corrupted images that were imported into Lightroom, with originals from a memory stick.
#
# Walk through a target directory structure of possibly corrupted files, and replace them
# with files from a source directory. Files in the source may be at completely different
# relative paths, but will have the same file name.
#