If True and parse_dates is enabled, pandas will attempt to infer the format of the datetime strings in the columns, and if it can be inferred, switch to a faster method of parsing them.

The C and pyarrow engines are faster, while the python engine is currently more feature-complete. Multithreading is currently only supported by the pyarrow engine.

The pandas I/O API is a set of top level reader functions accessed like pandas.read_csv () that generally return a pandas object. The corresponding writer functions are object methods that …

If True and parse_dates is enabled, pandas will attempt to infer the format of the datetime strings in the columns, and if it can be inferred, switch to a faster method of parsing them.

pandas provides the read_csv() function to read data stored as a csv file into a pandas DataFrame. pandas supports many different file formats or data sources out of the box (csv, …

Read CSV (comma-separated) file into DataFrame Also supports optionally iterating or breaking of the file into chunks. Additional help can be found in the online docs for IO Tools.

pandas pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!

pandas.DataFrame.squeeze # DataFrame.squeeze(axis=None) [source] # Squeeze 1 dimensional axis objects into scalars. Series or DataFrames with a single element are …

pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

Top-level dealing with Interval data #Top-level evaluation #