Lucifer

Lucifer is a Python package for creating nice and colourful progress bars using the map() and apply() method as well as for loops.

Etymology

Old English Lucifer "Satan," also "morning star, Venus in the morning sky before sunrise," also an epithet or name of Diana, from Latin Lucifer "morning star," noun use of adjective, literally "light-bringing," from lux (genitive lucis) "light" (from PIE root *leuk- "light, brightness") + ferre "to carry, bear," from PIE root *bher- (1) "to carry," also "to bear children." Venus in the evening sky was Hesperus.

ProgressBar

To use a progress bar you need to initiate a ProgressBar object with the maximum progress amount (total) and call the show method of the object with the amount to update the progress bar.

from lucifer import ProgressBar
from time import sleep

bar = ProgressBar(total=100)

for i in range(100):
  sleep(0.05)
  bar.show(amount=i+1)

You can also add your own text to the progress bar.

from lucifer import ProgressBar
from time import sleep

bar = ProgressBar(total=100)
for i in range(100):
    sleep(0.05)
    bar.show(amount=i+1, text=f'working on {i}')

map

You can also use the ProgressBar's map method instead of Python's map method. The output is an iterable. As soon as you turn the iterable object into a list the progress bar will be displayed.

from lucifer import ProgressBar
from time import sleep

list1 = list(range(100))

def wait_and_double(x, wait_time):
    sleep(wait_time)
    return x*2

# this will not make the progress bar appear
iterable2 = ProgressBar.map(
    function=lambda x: wait_and_double(x=x, wait_time=0.05), 
    iterable=list1
)

# this will make the progress bar appear
list2 = list(iterable2)

apply

ProgressBar also works with Panda's DataFrame and Series objects.

from lucifer import ProgressBar
from time import sleep
from pandas import DataFrame

data = DataFrame({
    'name':['Arminius', 'Boudica', 'Alaric', 'Attila', 'Genseric'],
    'ethnicity': ['German', 'Celt', 'Goth', 'Hun', 'Vandal']
})

data['name_and_ethnicity'] = ProgressBar.apply(
    data=data, 
    function=lambda x: x['name']+' the '+x['ethnicity']
)

data['name_lower'] = ProgressBar.apply(
    series=data['name'], 
    function=lambda x: x.lower()
)

iterate

You can also use ProgressBar to for iterating over iterable objects, especially for loops.

from lucifer import iterate

for i in iterate(range(100)):
    # do something
    pass