Init signature: pd.DataFrame(data=None, index=None, columns=None, dtype=None, copy=False)
Docstring:     
Two-dimensional size-mutable, potentially heterogeneous tabular data
structure with 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 : numpy ndarray (structured or homogeneous), dict, or DataFrame
    Dict can contain Series, arrays, constants, or list-like objects
index : Index or array-like
    Index to use for resulting frame. Will default to np.arange(n) 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
    np.arange(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 : boolean, default False
    Copy data from inputs. Only affects DataFrame / 2d ndarray input

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.random.randint(low=0, high=10, size=(5, 5)),
...                    columns=['a', 'b', 'c', 'd', 'e'])
>>> df2
    a   b   c   d   e
0   2   8   8   3   4
1   4   2   9   0   9
2   1   0   7   8   0
3   5   1   7   1   3
4   6   0   2   4   2

See also
--------
DataFrame.from_records : constructor from tuples, also record arrays
DataFrame.from_dict : from dicts of Series, arrays, or dicts
DataFrame.from_items : from sequence of (key, value) pairs
pandas.read_csv, pandas.read_table, pandas.read_clipboard
File:           c:\users\lenovo\anaconda3\lib\site-packages\pandas\core\frame.py
Type:           type
Subclasses:     LongPanel, SparseDataFrame, SubclassedDataFrame