fnneves

# a proper app needs some buttons too!
button_run = tk.Button(bottom_frame, text="Start", command=run_app, bg='dark green', fg='white', relief='raised', width=10, font=('Helvetica 9 bold'))
button_run.grid(column=0, row=0, sticky='w', padx=100, pady=2)

button_close = tk.Button(bottom_frame, text="Exit", command=close_app, bg='dark red', fg='white', relief='raised', width=10, font=('Helvetica 9'))
button_close.grid(column=1, row=0, sticky='e', padx=100, pady=2)

window.mainloop()

fnneves

def run_app():
    print('getting user inputs')
    user_city_from = str(from_city_entry.get())
    user_city_to = str(to_city_entry.get())
    user_date_depart = str(departure_date_entry.get())
    user_date_return = str(return_date_entry.get())
    
    print('starting Chrome')
    bot = Flight_Bot()
    bot.start_kayak(user_city_from, user_city_to, user_date_depart, user_date_return)

fnneves

import glob
import pandas as pd
from time import strftime

def folder_csv_merge(file_prefix, folder_path='', memory='no'):
    """
    file_prefix: if you want to add a prefix to the name of final merged file
    folder_path: no need to declare it. string copied from file explorer to the folder where the files are
    """
    if folder_path == '':

fnneves

import glob
import pandas as pd

def mass_edit(file_prefix, folder_path=''):
    """
    file_prefix: string that defines new file name
    folder_path: no need to declare it. string copied from file explorer to the folder where the files are
	"""
    if folder_path == '':
        folder_path = input('Please enter the path where the CSV files are:\n')

fnneves

def clean_header(df):
	"""
	This functions removes weird characters and spaces from column names, while keeping everything lower case
	"""
    df.columns = df.columns.str.strip().str.lower().str.replace(' ', '_').str.replace('(', '').str.replace(')', '')

fnneves

def split_columns(df, orig, one, two, separator):
	"""
	orig: string name of the column we want to split
	one: string name of the first new column
	two: string name of the second new column
	separator: string - this is the character(s) that will define where to split
	"""
	df[[one,two]] = df[orig].str.split(separator,expand=True)

fnneves

def df_filter(df, string):
    new = df.filter(regex=string)
    return new

# Example
data = [{'2018_inc': 10, '2019_inc': 12, '2018_rev':23}, {'2018_inc':10, '2019_inc': 20, '2018_rev': 30}]
df = pd.DataFrame(data)
y_2018 = df_filter(df, '2018') # getting all columns with 2018 in their names

fnneves

def get_date_int(df, date_column):
	year = df[date_column].dt.year
	month = df[date_column].dt.month
	week = df[date_column].dt.week
	return year, month, week

def calc_cohorts(df, signup_date, last_active):
	"""
	signup_date: name of the column with the signup date
	last_active: name of the column with the last login

fnneves

def days_diff(df):
    df['CohortIndex_d'] = (df['last_active_date'] - df['signup_date']).dt.days

fnneves

import requests
from glob import glob
from bs4 import BeautifulSoup
import pandas as pd
from datetime import datetime
from time import sleep

# http://www.networkinghowtos.com/howto/common-user-agent-list/
HEADERS = ({'User-Agent':
            'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36',