Python shortcuts and optimizations

python-shortcuts.py

#flatten a list of list
extent = [[-84.28620418884404, 33.98540048952816], [-84.09769613557806, 34.090609514767856]]

flat_list = [element for sublist in extent for element in sublist]
# [-84.28620418884404, 33.98540048952816, -84.09769613557806, 34.090609514767856]

#stringify a list of numbers
stringified_flat_list = ','.join(str(e) for e in flat_list)
# '-84.28620418884404,33.98540048952816,-84.09769613557806,34.090609514767856'

# print fixed with tables
# use 'f{val:>num}' as shown below
>>> l = ['atma','mani','bharathi','suganya','baskaran','esha']
>>>for i,e in enumerate(l): 
     print(f"{e:>13} : {i}")
""" prints
         atma : 0
         mani : 1
     bharathi : 2
      suganya : 3
     baskaran : 4
         esha : 5
"""
# jupyter notebook suppress warnings
import warnings; warnings.simplefilter('ignore')

# make a timestamp
from datetime import datetime
datetime.now().strftime("%y%h%d_%H%M%S")
# '21Oct04_225133'

# print large numbers with commas:
num = 1222
print(f'{num:,d}')  # will print 1,222  The `d` represents int

float_num = 1222.334433
print(f'{float_num:,0.2f}')  # will print 1,222.33  with 2 decimal places

# Decorator boiler plate
import functools

def do_twice(func):
    @functools.wraps(func)  # optional, preserves function's __name__ field
    def wrapper_do_twice(*args, **kwargs):  # optional to pass args, will send args to called func
        func(*args, **kwargs)
        return func(*args, **kwargs)  # optional return statement, useful if called func returns value
    return wrapper_do_twice

@do_twice
def some_function(args):
     print("something")