6 examples of 'python pandas create dataframe without index' in Python
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653 def set_index_post_series(df, index_name, drop, column_dtype): 654 df2 = df.drop("_partitions", axis=1).set_index("_index", drop=True) 655 df2.index.name = index_name 656 df2.columns = df2.columns.astype(column_dtype) 657 return df2
1188 def test_pandas_with_index(): 1189 "Output: a pandas Dataframe with an index" 1190 try: 1191 import pandas 1192 1193 df = pandas.DataFrame( 1194 [["one", 1], ["two", None]], columns=["string", "number"], index=["a", "b"] 1195 ) 1196 expected = "\n".join( 1197 [ 1198 " string number", 1199 "-- -------- --------", 1200 "a one 1", 1201 "b two nan", 1202 ] 1203 ) 1204 result = tabulate(df, headers="keys") 1205 assert_equal(expected, result) 1206 except ImportError: 1207 print("test_pandas_with_index is skipped") 1208 raise SkipTest() # this test is optional
206 def to_pandas(self): 207 return self.dataframe
41 @property 42 def drop(self): 43 return self._drop
39 def _drop_col(self, df): 40 ''' 41 Drops last column, which was added in the parsing procedure due to a 42 trailing white space for each sample in the text file 43 Arguments: 44 df: pandas dataframe 45 Return: 46 df: original df with last column dropped 47 ''' 48 return df.drop(df.columns[-1], axis=1)
6 def test_from_dataframe(): 7 symbol = "USDJPY" 8 currency_unit = Currency.JPY 9 df = pd.DataFrame( 10 index=pd.date_range(start="2018-06-06", periods=3), 11 data=[[0, 2], [2, 4], [4, 6]], 12 columns=["ask", "bid"], 13 ) 14 mkt = module.from_dataframe(df, symbol, currency_unit) 15 assert mkt.symbol == symbol 16 assert mkt.currency_unit == currency_unit 17 assert all(mkt.mid.values == [1, 3, 5]) 18 19 df = pd.DataFrame( 20 index=pd.date_range(start="2018-06-06", periods=3), 21 data=[[0, 2], [2, 4], [4, 6]], 22 columns=["aaa", "bbb"], 23 ) 24 col_mapping = {"aaa": "ask", "bbb": "bid"} 25 mkt = module.from_dataframe(df, symbol, currency_unit, col_mapping=col_mapping) 26 assert mkt.symbol == symbol 27 assert mkt.currency_unit == currency_unit 28 assert all(mkt.mid.values == [1, 3, 5])