(typingctx, data=None)
return sig, _hpat_pandas_dataframe_init_codegen
Internal Numba required function to register DataFrameType and
    connect it with corresponding Python type mentioned in @overload(pandas.DataFrame)
Internal Numba required function to register DataFrameType and
    connect it with corresponding Python type mentioned in
Internal Numba required function to register DataFrameType and connect it with corresponding Python type mentioned in
def _hpat_pandas_dataframe_init(typingctx, data=None):
    """
    Internal Numba required function to register DataFrameType and
    connect it with corresponding Python type mentioned in @overload(pandas.DataFrame)
    """

    def _hpat_pandas_dataframe_init_codegen(context, builder, signature, args):
        """
        It is looks like it creates DataFrameModel structure

        - Fixed number of parameters. Must be 4
        - increase reference counr for the data
        """

        [data_val] = args

        dataframe = cgutils.create_struct_proxy(signature.return_type)(context, builder)
        dataframe.data = data_val

        if context.enable_nrt:
            context.nrt.incref(builder, data, dataframe.data)

        return dataframe._getvalue()

    ret_typ = DataFrameType(data)
    sig = signature(ret_typ, data)
    """
    Construct signature of the Numba DataFrameType::ctor()
    """

    return sig, _hpat_pandas_dataframe_init_codegen
def _hpat_pandas_dataframe_init ( typingctx , data = None ) : def _hpat_pandas_dataframe_init_codegen ( context , builder , signature , args ) : """
        It is looks like it creates DataFrameModel structure

        - Fixed number of parameters. Must be 4
        - increase reference counr for the data
        """ [ data_val ] = args dataframe = cgutils . create_struct_proxy ( signature . return_type ) ( context , builder ) dataframe . data = data_val if context . enable_nrt : context . nrt . incref ( builder , data , dataframe . data ) return dataframe . _getvalue ( ) ret_typ = DataFrameType ( data ) sig = signature ( ret_typ , data ) """
    Construct signature of the Numba DataFrameType::ctor()
    """ return sig , _hpat_pandas_dataframe_init_codegen