pip install numerizer

from numerizer import numerize

print (numerize("one two three"))
print (numerize('twelve hundred'))
print (numerize('twenty one thousand four hundred and seventy three'))
print (numerize('one million two hundred and fifty thousand and seven'))

1 2 3
1200
21473
1250007

pip install emot

import re
from emot.emo_unicode import UNICODE_EMO, EMOTICONS

# Function for converting emojis into word
def convert_emojis_towords(text):
    for emot in UNICODE_EMO:
        text = text.replace(emot, "_".join(UNICODE_EMO[emot].replace(",","").replace(":","").split()))
    return text
t1 = "The feeling of success 😎, The feeling of achievement 😍"
convert_emojis_towords(t1)

'The feeling of success smiling_face_with_sunglasses, The feeling of achievement smiling_face_with_heart-eyes'

pip install chartify

#Import necessary library
import numpy as np
import pandas as pd
import chartify
#Load example dataset from chartify
data = chartify.examples.example_data()
data.head()

bar_data = (data.groupby('country')[['quantity']].sum()
            .reset_index()
           )
bar_data

grouped_bar_data = (data.groupby(['country', 'fruit'])[['quantity']].sum().reset_index()
           )
grouped_bar_data
ch = chartify.Chart(x_axis_type='categorical',
                    blank_labels=True)
ch.style.set_color_palette('categorical', 'Dark2')
ch.plot.bar(data_frame=grouped_bar_data,
            categorical_columns=['fruit', 'country'],
            numeric_column='quantity',
            color_column='fruit')
ch.show()

layout_options = ['slide_100%', 'slide_75%', 'slide_50%', 'slide_25%']
for option in layout_options:
    ch = chartify.Chart(layout=option, blank_labels=True, x_axis_type='categorical')
    ch.set_title('Layout: {}'.format(option))
    ch.plot.bar(data_frame=grouped_bar_data,
            categorical_columns=['fruit', 'country'],
            numeric_column='quantity',
            color_column='fruit')

ch.show()

ch.figure.xaxis.axis_label_text_color = 'red'
ch.figure.height = 500
ch.axes.set_xaxis_label('X-axis label')
ch.show()

pip install Faker

#Import faker library
from faker import Faker

# Generating fake email
fake = Faker()
print (fake.email()) 
print(fake.country()) 
# Generating fake name
print(fake.name()) 
# Generating fake text
print(fake.text()) 
# Generating fake url
print(fake.url()) 
# Generating fake profile
print(fake.profile())
# Generating random number
print(fake.random_number())

[email protected]
Saint Vincent and the Grenadines
Gilbert Carr
Voluptates eos minus illo ad. Ad consequatur maxime doloribus tempora. Hic quae minus placeat rerum perspiciatis. Iusto at reprehenderit animi id aperiam.
http://www.shah.com/
{'job': 'Musician', 'company': 'Smith-Vang', 'ssn': '472-36-5899', 'residence': '0252 Sierra Island Suite 754\nSharonfort, OR 94119-4839', 'current_location': (Decimal('86.2311005'), Decimal('136.358187')), 'blood_group': 'A+', 'website': ['http://cox.com/', 'https://www.alexander.org/', 'https://www.savage-bradley.com/'], 'username': 'holly15', 'name': 'Dustin Cook', 'sex': 'M', 'address': '485 Cynthia Wall\nWhiteton, MO 75561', 'mail': '[email protected]', 'birthdate': '1999-05-08'}
58

for _ in range(10):
    print(fake.name())

Regina Deleon
Teresa Robertson
Rodney Hodges
Chad Smith
Peter Gomez
John Carter
Kevin Blanchard
Michael Esparza
Steven Bennett
Robin Campbell