polars.DataFrame.write_csv#

DataFrame.write_csv(
file: str | Path | IO[str] | IO[bytes] | None = None,
*,
include_bom: bool = False,
include_header: bool = True,
separator: str = ',',
line_terminator: str = '\n',
quote_char: str = '"',
batch_size: int = 1024,
datetime_format: str | None = None,
date_format: str | None = None,
time_format: str | None = None,
float_scientific: bool | None = None,
float_precision: int | None = None,
null_value: str | None = None,
quote_style: CsvQuoteStyle | None = None,
) → str | None[source]#

Write to comma-separated values (CSV) file.

Parameters:
file

File path or writable file-like object to which the result will be written. If set to None (default), the output is returned as a string instead.

include_bom

Whether to include UTF-8 BOM in the CSV output.

include_header

Whether to include header in the CSV output.

separator

Separate CSV fields with this symbol.

line_terminator

String used to end each row.

quote_char

Byte to use as quoting character.

batch_size

Number of rows that will be processed per thread.

datetime_format

A format string, with the specifiers defined by the chrono Rust crate. If no format specified, the default fractional-second precision is inferred from the maximum timeunit found in the frame’s Datetime cols (if any).

date_format

A format string, with the specifiers defined by the chrono Rust crate.

time_format

A format string, with the specifiers defined by the chrono Rust crate.

float_scientific

Whether to use scientific form always (true), never (false), or automatically (None) for Float32 and Float64 datatypes.

float_precision

Number of decimal places to write, applied to both Float32 and Float64 datatypes.

null_value

A string representing null values (defaulting to the empty string).

quote_style{‘necessary’, ‘always’, ‘non_numeric’, ‘never’}

Determines the quoting strategy used.

  • necessary (default): This puts quotes around fields only when necessary. They are necessary when fields contain a quote, separator or record terminator. Quotes are also necessary when writing an empty record (which is indistinguishable from a record with one empty field). This is the default.

  • always: This puts quotes around every field. Always.

  • never: This never puts quotes around fields, even if that results in invalid CSV data (e.g.: by not quoting strings containing the separator).

  • non_numeric: This puts quotes around all fields that are non-numeric. Namely, when writing a field that does not parse as a valid float or integer, then quotes will be used even if they aren`t strictly necessary.

Examples

>>> import pathlib
>>>
>>> df = pl.DataFrame(
...     {
...         "foo": [1, 2, 3, 4, 5],
...         "bar": [6, 7, 8, 9, 10],
...         "ham": ["a", "b", "c", "d", "e"],
...     }
... )
>>> path: pathlib.Path = dirpath / "new_file.csv"
>>> df.write_csv(path, separator=",")
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