import pandas as pd

data = {
    'apples': [3, 2, 0, 1], 
    'oranges': [0, 3, 7, 2]
}

df = pd.DataFrame(data)


University of Michigan - Ann Arbor

This Python library is a very commonly used data structure in the Data Science industry. It allows the creation of table-like data structures that include columns and rows, and is commonly used for large scale data analysis and testing. 
Documentation: https://pandas.pydata.org/docs/

Pandas Library

Creating Pandas Dataframe from Existing Data

 A series in pandas is a one dimensional data structure that stores different values in a column. 

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