import pandas as pd

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

df = pd.DataFrame(data)


Creating Pandas Dataframe from Existing Data

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

Pandas Series

A DataFrame is a 2-dimensional data structure, in which the data is organized in rows and columns of any type. Each column has a label, and the index of a DataFrame are the row labels. To create a DataFrame, the data can be passed in several ways: as a Series, a record or structured ndarray, a 2-D ndarray, or as a dictionary of Series, lists, or dictionaries. 

Pandas DataFrame

Pandas is an open-source software library for the Python programming language designed for data manipulation and analysis. It is primarily used for data cleaning, preparation, and analysis through specialized data structures, namely the DataFrame and Series, which are optimized for handling numerical tables and time-series data.

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