dennissergeev

dennissergeev

import iris
import gridfill
import numpy as np
from scipy import interpolate


def remask_cube(cube, new_mask, interp_method='nearest'):
    ma_cube = cube.copy()
    data = cube.data
    if np.ma.is_masked(data):

dennissergeev

"""
I will find you and I will highlight you
"""
from colorama import init, Fore, Style, Back
import re

init()  # comment out if in Jupyter Notebook

def find_and_highlight(text, str_list, back=Back.YELLOW, fore=''):
    regex_str = r'|'.join([r'({})'.format(s) for s in str_list])

dennissergeev

import numpy as np

raob_station_list = 'http://www.raob.com/assets/downloads/raob.stn.txt'

raob_codes = np.genfromtxt(raob_station_list,
                           skip_header=9, dtype=None, delimiter=',', skip_footer=1, unpack=True)

nrow = len(raob_codes)
ncol = len(raob_codes[0])
raob_lat = np.zeros(nrow)

dennissergeev

#!/usr/bin/env python3
import argparse
import os

ap = argparse.ArgumentParser(os.path.basename(__file__),
                             description=__doc__,
                             formatter_class=argparse.
                             ArgumentDefaultsHelpFormatter)
ap.add_argument('path_to_files', type=str, help='Path to files')
ap.add_argument('-z', '--zeros', type=int, default=4,