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.

Note that the entire file is read into a single DataFrame regardless, use the chunksize or iterator parameter to return the data in chunks. (Only valid with C parser).

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, …

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.

Read a comma-separated values (csv) 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.

Read CSV (comma-separated) file into DataFrame Also supports optionally iterating or breaking of the file into chunks.

If you want to pass in a path object, pandas accepts any os.PathLike. By file-like object, we refer to objects with a read() method, such as a file handle (e.g. via builtin open function) or StringIO.

Parameters: pathstr, path object or file-like object String, path object (implementing os.PathLike[str]), or file-like object implementing a binary read() function. The string could be a …