The Pandas DataFrame Object

Fundamental structure in Pandas is the DataFrame.

DataFrame can be thought of either as a generalization of a NumPy array, or as a specialization of a Python dictionary

DataFrame as a generalized NumPy array

If a Series is an analog of a one-dimensional array with flexible indices, a DataFrame is an analog of a two-dimensional array with both flexible row indices and flexible column names.

Note

If some keys in the dictionary are missing, Pandas will fill them in with NaN (i.e., “not a number”) values

 

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