Module « pandas »

Classe « DataFrame »

Informations générales

Héritage

        builtins.object
            OpsMixin
    builtins.object
        IndexingMixin
    builtins.object
        SelectionMixin
builtins.object
    DirNamesMixin
        PandasObject
            NDFrame
                DataFrame

Définition

class DataFrame(NDFrame, OpsMixin):

Description _{[extrait de DataFrame.__doc__]}

    Two-dimensional, size-mutable, potentially heterogeneous tabular data.

    Data structure also contains labeled axes (rows and columns).
    Arithmetic operations align on both row and column labels. Can be
    thought of as a dict-like container for Series objects. The primary
    pandas data structure.

    Parameters
    ----------
    data : ndarray (structured or homogeneous), Iterable, dict, or DataFrame
        Dict can contain Series, arrays, constants, dataclass or list-like objects. If
        data is a dict, column order follows insertion-order.

        .. versionchanged:: 0.25.0
           If data is a list of dicts, column order follows insertion-order.

    index : Index or array-like
        Index to use for resulting frame. Will default to RangeIndex if
        no indexing information part of input data and no index provided.
    columns : Index or array-like
        Column labels to use for resulting frame. Will default to
        RangeIndex (0, 1, 2, ..., n) if no column labels are provided.
    dtype : dtype, default None
        Data type to force. Only a single dtype is allowed. If None, infer.
    copy : bool, default False
        Copy data from inputs. Only affects DataFrame / 2d ndarray input.

    See Also
    --------
    DataFrame.from_records : Constructor from tuples, also record arrays.
    DataFrame.from_dict : From dicts of Series, arrays, or dicts.
    read_csv : Read a comma-separated values (csv) file into DataFrame.
    read_table : Read general delimited file into DataFrame.
    read_clipboard : Read text from clipboard into DataFrame.

    Examples
    --------
    Constructing DataFrame from a dictionary.

    >>> d = {'col1': [1, 2], 'col2': [3, 4]}
    >>> df = pd.DataFrame(data=d)
    >>> df
       col1  col2
    0     1     3
    1     2     4

    Notice that the inferred dtype is int64.

    >>> df.dtypes
    col1    int64
    col2    int64
    dtype: object

    To enforce a single dtype:

    >>> df = pd.DataFrame(data=d, dtype=np.int8)
    >>> df.dtypes
    col1    int8
    col2    int8
    dtype: object

    Constructing DataFrame from numpy ndarray:

    >>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
    ...                    columns=['a', 'b', 'c'])
    >>> df2
       a  b  c
    0  1  2  3
    1  4  5  6
    2  7  8  9

    Constructing DataFrame from dataclass:

    >>> from dataclasses import make_dataclass
    >>> Point = make_dataclass("Point", [("x", int), ("y", int)])
    >>> pd.DataFrame([Point(0, 0), Point(0, 3), Point(2, 3)])
        x  y
    0  0  0
    1  0  3
    2  2  3
    

Constructeur(s)

Signature du constructeur	Description
__init__(self, data=None, index: 'Optional[Axes]' = None, columns: 'Optional[Axes]' = None, dtype: 'Optional[Dtype]' = None, copy: 'bool' = False)

Attributs statiques hérités de la classe SelectionMixin

ndim

Opérateurs hérités de la classe OpsMixin

__add__, __and__, __eq__, __floordiv__, __ge__, __gt__, __le__, __lt__, __mod__, __mul__, __ne__, __or__, __pow__, __radd__, __rand__, __rfloordiv__, __rmod__, __rmul__, __ror__, __rpow__, __rsub__, __rtruediv__, __rxor__, __sub__, __truediv__, __xor__

Opérateurs hérités de la classe NDFrame

__contains__, __delitem__, __iadd__, __iand__, __ifloordiv__, __imod__, __imul__, __invert__, __ior__, __ipow__, __isub__, __itruediv__, __ixor__, __neg__, __pos__

Méthodes héritées de la classe OpsMixin

__init_subclass__, __subclasshook__

Méthodes héritées de la classe NDFrame

__abs__, __array__, __array_ufunc__, __array_wrap__, __bool__, __copy__, __deepcopy__, __finalize__, __getattr__, __getstate__, __hash__, __iter__, __nonzero__, __round__, __setattr__, __setstate__, abs, add_prefix, add_suffix, all, any, asfreq, asof, astype, at_time, backfill, between_time, bfill, bool, clip, convert_dtypes, copy, cummax, cummin, cumprod, cumsum, describe, droplevel, equals, ewm, expanding, ffill, filter, first, first_valid_index, get, head, infer_objects, interpolate, keys, kurt, kurtosis, last, last_valid_index, mad, mask, max, mean, median, min, pad, pct_change, pipe, prod, product, rank, reindex_like, rename_axis, resample, rolling, sample, sem, set_flags, skew, slice_shift, squeeze, std, sum, swapaxes, tail, take, to_clipboard, to_csv, to_excel, to_hdf, to_json, to_latex, to_pickle, to_sql, to_xarray, truncate, tshift, tz_convert, tz_localize, var, where, xs

Méthodes héritées de la classe PandasObject

__sizeof__

Méthodes héritées de la classe DirNamesMixin

__dir__

Méthodes héritées de la classe object

__delattr__, __format__, __getattribute__, __reduce__, __reduce_ex__, __str__