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993 def hpat_pandas_series_copy_impl(self, deep=True): 994 if deep: 995 return pandas.Series(self._data.copy(), index=self._index.copy()) 996 else: 997 return pandas.Series(self._data, index=self._index.copy())
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206 def to_pandas(self): 207 return self.dataframe
136 def copy_column(self, to, fro): 137 """Copy column data 138 139 Args: 140 fro (str): column name to copy data from 141 to (str): column name to copy to 142 """ 143 logging.debug("copying {} to {}".format(fro, to)) 144 self.df[to] = self.df[fro]
151 def postgresql_copy_from(df, name, con ): 152 # append data into existing postgresql table using COPY 153 154 # 1. convert df to csv no header 155 output = cStringIO.StringIO() 156 157 # deal with datetime64 to_csv() bug 158 have_datetime64 = False 159 dtypes = df.dtypes 160 for i, k in enumerate(dtypes.index): 161 dt = dtypes[k] 162 print 'dtype', dt, dt.itemsize 163 if str(dt.type)=="<type 'numpy.datetime64'>": 164 have_datetime64 = True 165 166 if have_datetime64: 167 d2=df.copy() 168 for i, k in enumerate(dtypes.index): 169 dt = dtypes[k] 170 if str(dt.type)=="<type 'numpy.datetime64'>": 171 d2[k] = [ v.to_pydatetime() for v in d2[k] ] 172 #convert datetime64 to datetime 173 #ddt= [v.to_pydatetime() for v in dd] #convert datetime64 to datetime 174 d2.to_csv(output, sep='\t', header=False, index=False) 175 else: 176 df.to_csv(output, sep='\t', header=False, index=False) 177 output.seek(0) 178 contents = output.getvalue() 179 print 'contents\n', contents 180 181 # 2. copy from 182 cur = con.cursor() 183 cur.copy_from(output, name) 184 con.commit() 185 cur.close() 186 return