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Class Index (1.24.0) | Python client library

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Index(data=None, dtype=None, *, name=None, session=None)

Immutable sequence used for indexing and alignment.

The basic object storing axis labels for all objects.

Return the transpose, which is by definition self.

Return the dtype object of the underlying data.

Return the dtypes as a Series for the underlying MultiIndex.

Returns True if the Index is empty, otherwise returns False.

Check if the Index has duplicate values.

Return a boolean if the values are equal or decreasing.

Return a boolean if the values are equal or increasing.

Return if the index has unique values.

Returns Index name.

Returns the names of the Index.

API documentation for ndim property.

Number of levels.

BigQuery job metadata for the most recent query.

Return a tuple of the shape of the underlying data.

Returns the size of the Index.

Return an array representing the data in the Index.

Return whether all elements are Truthy.

Return whether any element is Truthy.

Return int position of the largest value in the Series.

If the maximum is achieved in multiple locations, the first row position is returned.

Return int position of the smallest value in the series.

If the minimum is achieved in multiple locations, the first row position is returned.

astype(
    dtype: typing.Union[
        typing.Literal[
            "boolean",
            "Float64",
            "Int64",
            "int64[pyarrow]",
            "string",
            "string[pyarrow]",
            "timestamp[us, tz=UTC][pyarrow]",
            "timestamp[us][pyarrow]",
            "date32[day][pyarrow]",
            "time64[us][pyarrow]",
            "decimal128(38, 9)[pyarrow]",
            "decimal256(76, 38)[pyarrow]",
            "binary[pyarrow]",
        ],
        pandas.core.arrays.boolean.BooleanDtype,
        pandas.core.arrays.floating.Float64Dtype,
        pandas.core.arrays.integer.Int64Dtype,
        pandas.core.arrays.string_.StringDtype,
        pandas.core.dtypes.dtypes.ArrowDtype,
        geopandas.array.GeometryDtype,
    ]
) -> bigframes.core.indexes.base.Index

Create an Index with values cast to dtypes.

The class of a new Index is determined by dtype. When conversion is impossible, a TypeError exception is raised.

copy(name: typing.Optional[typing.Hashable] = None)

Make a copy of this object.

Name is set on the new object.

Set name for new object.

drop(labels: typing.Any) -> bigframes.core.indexes.base.Index

Make new Index with passed list of labels deleted.

drop_duplicates(*, keep: str = "first") -> bigframes.core.indexes.base.Index

Return Index with duplicate values removed.

One of: 'first' : Drop duplicates except for the first occurrence. 'last' : Drop duplicates except for the last occurrence. False : Drop all duplicates.

dropna(
    how: typing.Literal["all", "any"] = "any"
) -> bigframes.core.indexes.base.Index

Return Index without NA/NaN values.

If the Index is a MultiIndex, drop the value when any or all levels are NaN.

fillna(value=None) -> bigframes.core.indexes.base.Index

Fill NA/NaN values with the specified value.

Scalar value to use to fill holes (e.g. 0). This value cannot be a list-likes.

from_frame(
    frame: typing.Union[bigframes.series.Series, bigframes.dataframe.DataFrame]
) -> bigframes.core.indexes.base.Index

API documentation for from_frame method.

get_level_values(level) -> bigframes.core.indexes.base.Index

Return an Index of values for requested level.

This is primarily useful to get an individual level of values from a MultiIndex, but is provided on Index as well for compatibility.

It is either the integer position or the name of the level.

isin(values) -> bigframes.core.indexes.base.Index

Return a boolean array where the index values are in values.

Compute boolean array to check whether each index value is found in the passed set of values. The length of the returned boolean array matches the length of the index.

Sought values.

Return the maximum value of the Index.

Return the minimum value of the Index.

Return number of unique elements in the object.

Excludes NA values by default.

rename(
    name: typing.Union[str, typing.Sequence[str]]
) -> bigframes.core.indexes.base.Index

Alter Index or MultiIndex name.

Able to set new names without level. Defaults to returning new index. Length of names must match number of levels in MultiIndex.

Name(s) to set.

sort_values(*, ascending: bool = True, na_position: str = "last")

Return a sorted copy of the index.

Return a sorted copy of the index, and optionally return the indices that sorted the index itself.

Should the index values be sorted in an ascending order.

Argument 'first' puts NaNs at the beginning, 'last' puts NaNs at the end.

to_numpy(dtype=None, **kwargs) -> numpy.ndarray

A NumPy ndarray representing the values in this Series or Index.

to_pandas() -> pandas.core.indexes.base.Index

Gets the Index as a pandas Index.

to_series(
    index: typing.Optional[bigframes.core.indexes.base.Index] = None,
    name: typing.Optional[typing.Hashable] = None,
) -> bigframes.series.Series

Create a Series with both index and values equal to the index keys.

Useful with map for returning an indexer based on an index.

Index of resulting Series. If None, defaults to original index.

Name of resulting Series. If None, defaults to name of original index.

transpose() -> bigframes.core.indexes.base.Index

Return the transpose, which is by definition self.

value_counts(
    normalize: bool = False,
    sort: bool = True,
    ascending: bool = False,
    *,
    dropna: bool = True
)

Return a Series containing counts of unique values.

The resulting object will be in descending order so that the first element is the most frequently-occurring element. Excludes NA values by default.

If True, then the object returned will contain the relative frequencies of the unique values.

Sort by frequencies.

Sort in ascending order.

Don't include counts of NaN.

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Last updated 2025-08-12 UTC.

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