DOC: update the docstring of pandas.DataFrame.from_dict
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#################### Docstring (pandas.DataFrame.from_dict) ####################
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Construct DataFrame from dict of array-like or dicts.

Creates DataFrame object from dictionary by columns or by index
allowing dtype specification.

Parameters
----------
data : dict
    Of the form {field : array-like} or {field : dict}.
orient : {'columns', 'index'}, default 'columns'
    The "orientation" of the data. If the keys of the passed dict
    should be the columns of the resulting DataFrame, pass 'columns'
    (default). Otherwise if the keys should be rows, pass 'index'.
dtype : dtype, default None
    Data type to force, otherwise infer.
columns : list, default None
    Column labels to use when orient='index'. Raises a ValueError
    if used with orient='columns'
    .. versionadded:: 0.23.0.

See Also
--------
DataFrame.from_records : Create DataFrame from ndarray (structured dtype),
                         list of tuples, dict, or DataFrame
DataFrame.from_items : Create DataFrame from sequence of (key, value) pairs.

Returns
-------
DataFrame

Examples
--------
>>> data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
>>> data
{'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}

>>> pd.DataFrame.from_dict(data)
   col_1 col_2
0      3     a
1      2     b
2      1     c
3      0     d

>>> pd.DataFrame.from_dict(data, orient='index')
       0  1  2  3
col_1  3  2  1  0
col_2  a  b  c  d

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Docstring for "pandas.DataFrame.from_dict" correct. :)
```