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