Method inner

pager_lib/tqdm/std.py:850–919

Parameters ---------- df : (DataFrame|Series)[GroupBy] Data (may be grouped). func : function To be applied on the (grouped) data. **kwargs : optional Trans

(df, func, *args, **kwargs)

        def inner_generator(df_function='apply'):
            def inner(df, func, *args, **kwargs):
                """
                Parameters
                ----------
                df  : (DataFrame|Series)[GroupBy]
                    Data (may be grouped).
                func  : function
                    To be applied on the (grouped) data.
                **kwargs  : optional
                    Transmitted to `df.apply()`.
                """

                # Precompute total iterations
                total = tqdm_kwargs.pop("total", getattr(df, 'ngroups', None))
                if total is None:  # not grouped
                    if df_function == 'applymap':
                        total = df.size
                    elif isinstance(df, Series):
                        total = len(df)
                    elif (_Rolling_and_Expanding is None or
                          not isinstance(df, _Rolling_and_Expanding)):
                        # DataFrame or Panel
                        axis = kwargs.get('axis', 0)
                        if axis == 'index':
                            axis = 0
                        elif axis == 'columns':
                            axis = 1
                        # when axis=0, total is shape[axis1]
                        total = df.size // df.shape[axis]

                # Init bar
                if deprecated_t[0] is not None:
                    t = deprecated_t[0]
                    deprecated_t[0] = None
                else:
                    t = cls(total=total, **tqdm_kwargs)

                if len(args) > 0:
                    # *args intentionally not supported (see #244, #299)
                    TqdmDeprecationWarning(
                        "Except func, normal arguments are intentionally" +
                        " not supported by" +
                        " `(DataFrame|Series|GroupBy).progress_apply`." +
                        " Use keyword arguments instead.",
                        fp_write=getattr(t.fp, 'write', sys.stderr.write))

                try:  # pandas>=1.3.0,<3.0
                    from pandas.core.common import is_builtin_func
                except ImportError:  # pandas<1.3.0
                    is_builtin_func = getattr(df, '_is_builtin_func', lambda f: f)
                try:
                    func = is_builtin_func(func)
                except TypeError:
                    pass

                # Define bar updating wrapper
                def wrapper(*args, **kwargs):
                    # update tbar correctly