Python:Pandas Built-in Functions
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.
Built-in Functions
- .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()
- Converts various date and time representations into standardized pandas datetime objects for time series analysis.
- .unique()
- Returns a NumPy array of the unique values in the order they appear in the Series.
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