Built-in Functions

StevenSwiniarski

StevenSwiniarski474 total contributions

StevenSwiniarski

Published May 12, 2022

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Pandas provides a wide variety of built-in functions for data access and manipulation. A few of the more significant ones are listed below.

.concat()

Concatenates multiple dataframes or series along a particular axis.

.get_dummies()

Converts categorical variables to dummy (indicator) variables

.read_csv()

Reads a CSV file into a Pandas DataFrame object.

.read_excel()

Reads an Excel file into a Pandas DataFrame object.

.to_datetime()

Returns a pandas datetime object for a given object, such as a Series or DataFrame

.unique()

Returns an array containing all the unique elements in the data series, with no specific order.

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