tonythor

# List Comprehension / Map / Lambda Fucntions Explained SUPER EASY 

# say you have a list of files and want to work with the extensions. 
files = ['tony.txt', 'fraser.csv', 'ex.xls']

# it could be a function, you could loop through it.
def get_suffix(file:str):
    return file.split('.')[1]
# for file in files: print(get_suffix(file))

tonythor

import pandas as pd
from numpy import randn

rows = ['a','b','c','d','e']
cols = ['w','x','y','z']
df = pd.DataFrame(randn(5,4), rows, cols)

#          w         x         y         z
# a  2.706850  0.628133  0.907969  0.503826
# b  0.651118 -0.319318 -0.848077  0.605965

tonythor

# this is for pip3 and pip3 ipython, you should ave these installed and be able to run.
# thunder:~ user$ pip3 install seaborn ipython matplotlib

################### Using mathplotlib  ################
# thunder:~ user$ ipython
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
# %matplotlib inline # <- don't do this, your terminal can't render this. You need the popups.
titanic = pd.read_csv('https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv')

tonythor

# load random weblog data
columns = ['accept_language', 'domain', 'geo_city', 'geo_country','post_mobiledevice', 'post_mobileosversion']
s3.load(full_path='{bucket}/tfraser/{weblog}/{folder}/',
          file_type='csv',
          file_filter=".csv"
          )[columns].dropna(how='any').copy()

#  data looks like this. 
#  accept_language     domain geo_city geo_country post_mobiledevice post_mobileosversion
#0           en-us     rr.com   austin         usa           iPad4,2           iOS 11.1.2