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Method __init__

pandas/io/parsers/python_parser.py:1382–1418  ·  view source on GitHub ↗
(
        self,
        f: IO[str] | ReadCsvBuffer[str],
        colspecs: list[tuple[int, int]] | Literal["infer"],
        delimiter: str | None,
        comment: str | None,
        skiprows: set[int] | None = None,
        infer_nrows: int = 100,
    )

Source from the content-addressed store, hash-verified

1380 """
1381
1382 def __init__(
1383 self,
1384 f: IO[str] | ReadCsvBuffer[str],
1385 colspecs: list[tuple[int, int]] | Literal["infer"],
1386 delimiter: str | None,
1387 comment: str | None,
1388 skiprows: set[int] | None = None,
1389 infer_nrows: int = 100,
1390 ) -> None:
1391 self.f = f
1392 self.buffer: Iterator | None = None
1393 self.delimiter = "\r\n" + delimiter if delimiter else "\n\r\t "
1394 self.comment = comment
1395 if colspecs == "infer":
1396 self.colspecs = self.detect_colspecs(
1397 infer_nrows=infer_nrows, skiprows=skiprows
1398 )
1399 else:
1400 self.colspecs = colspecs
1401
1402 if not isinstance(self.colspecs, (tuple, list)):
1403 raise TypeError(
1404 "column specifications must be a list or tuple, "
1405 f"input was a {type(colspecs).__name__}"
1406 )
1407
1408 for colspec in self.colspecs:
1409 if not (
1410 isinstance(colspec, (tuple, list))
1411 and len(colspec) == 2
1412 and isinstance(colspec[0], (int, np.integer, type(None)))
1413 and isinstance(colspec[1], (int, np.integer, type(None)))
1414 ):
1415 raise TypeError(
1416 "Each column specification must be "
1417 "2 element tuple or list of integers"
1418 )
1419
1420 def get_rows(self, infer_nrows: int, skiprows: set[int] | None = None) -> list[str]:
1421 """

Callers

nothing calls this directly

Calls 1

detect_colspecsMethod · 0.95

Tested by

no test coverage detected