mostlyinteresting

import re
import numpy as np
import pandas as pd
import sqlite3
#import seaborn as sns
import matplotlib.pyplot as plt
import itertools

from sklearn.model_selection import train_test_split

mostlyinteresting

import re

cList = {
  "ain't": "am not",
  "aren't": "are not",
  "can't": "cannot",
  "can't've": "cannot have",
  "'cause": "because",
  "could've": "could have",

mostlyinteresting

import praw
import pandas as pd
import numpy as np
import sqlite3

class redditMethods:

    global comment2df
    def comment2df(comment):
        try:

mostlyinteresting

import os
import pandas as pd
import datetime as dt
import seaborn as sns
import matplotlib.pyplot as plt
import ccxt
from dateutil import relativedelta
import numpy as np

sns.set(style = 'ticks', context = 'talk')

mostlyinteresting

import os
import pandas as pd
import datetime as dt
import seaborn as sns
import matplotlib.pyplot as plt
import ccxt

sns.set(style = 'ticks', context = 'talk')
plt.style.use("dark_background")

mostlyinteresting

import os
import pandas as pd
import numpy as np
import yfinance as yf
import datetime as dt
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style = 'ticks', context = 'talk')
plt.style.use("dark_background")

mostlyinteresting

license: gpl-3.0
height: 1000