Example code for BloomTech Data Science Unit 3 Sprint 1 Module 2

dataframe_example.py

import pandas as pd

# Build my class of type DataFrame
# df holds a new DataFrame "object"
# when I create a new object and save it to a variable
# I say that I have "instantiated" that object
df = pd.DataFrame({'a': [1,2,3], 'b': [4,5,6]})


if __name__ == "__main__":

  # Variables that form part of an "object"
  # are called "attributes"
  # we will access them using "dot-notation"
  print(df.shape)
  print(df.dtypes)
  print(df.index)
  print(df.columns)
  
  # Functions that form part of an "object
  # are called "methods" 
  print(df.head())
  print(df.describe())
  print(df.null().sum())
  
  # a method associated with a Pandas "Series" object
  # aka "column"
  # which lives inside of a dataframe
  print(df['a'].value_counts())