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pandas.DataFrame(data=None, index=None, columns=None, dtype=None, copy=False)[source]

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 DataFrameDict can contain Series, arrays, constants, or list-like objectsindex : Index or array-likeIndex to use for resulting frame. Will default to np.arange(n) if no indexing information part of input data and no index providedcolumns : Index or array-likeColumn labels to use for resulting frame. Will default to np.arange(n) if no column labels are provideddtype : dtype, default NoneData type to force. Only a single dtype is allowed. If None, infercopy : boolean, default FalseCopy data from inputs. Only affects DataFrame / 2d ndarray input

例子：

>>> d = {
  'col1': [1, 2], 'col2': [3, 4]}>>> df = pd.DataFrame(data=d)>>> df   col1  col20     1     31     2     4

例子 2：

>>> df = pd.DataFrame(data=d, dtype=np.int8)>>> df.dtypescol1    int8col2    int8dtype: object

例子3

>>> df2 = pd.DataFrame(np.random.randint(low=0, high=10, size=(5, 5)),...                    columns=['a', 'b', 'c', 'd', 'e'])>>> df2    a   b   c   d   e0   2   8   8   3   41   4   2   9   0   92   1   0   7   8   03   5   1   7   1   34   6   0   2   4   2

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