ich versuche hier, meine lists of objects (SAM-x1 bis SAM_x6) in einen Dataframe zu joinen, und diesen dann in Integer umzuwandeln, um daraus Boxplots erstellen zu können. Das Zusammenlegen der Lists zu einem Dataframe hat schon gut funktioniert, allerdings hänge ich jetzt an der Umwandlung zu Int.
Hier der Code:
Code: Alles auswählen
data = pd.read_csv("performance_tests.csv", skiprows=3)
SAM_x1 = data.iloc[0:190, 2].tolist()
SAM_x2 = data.iloc[0:190, 4].tolist()
SAM_x3 = data.iloc[0:190, 6].tolist()
SAM_x4 = data.iloc[0:190, 8].tolist()
SAM_x5 = data.iloc[0:190, 10].tolist()
SAM_x6 = data.iloc[0:190, 12].tolist()
df = pd.DataFrame([SAM_x1, SAM_x2, SAM_x3, SAM_x4, SAM_x5, SAM_x6]
).T
columns = ['SAM_x1','SAM_x2','SAM_x3','SAM_x4','SAM_x5','SAM_x6']
df['SAM_x1'] = pd.to_numeric(df['SAM_x1'],errors = 'coerce')
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
Input In [176], in <module>
10 df = pd.DataFrame([SAM_x1, SAM_x2, SAM_x3, SAM_x4, SAM_x5, SAM_x6]
11 ).T
12 columns = ['SAM_x1','SAM_x2','SAM_x3','SAM_x4','SAM_x5','SAM_x6']
---> 14 df['SAM_x1'] = pd.to_numeric(df['SAM_x1'],errors = 'coerce')
17 #df['1'] = df['SAM_x1'].astype(float, errors = 'raise')
18 #print(df.info())
21 df
File ~/miniforge3/lib/python3.9/site-packages/pandas/core/frame.py:3505, in DataFrame.__getitem__(self, key)
3503 if self.columns.nlevels > 1:
3504 return self._getitem_multilevel(key)
-> 3505 indexer = self.columns.get_loc(key)
3506 if is_integer(indexer):
3507 indexer = [indexer]
File ~/miniforge3/lib/python3.9/site-packages/pandas/core/indexes/range.py:389, in RangeIndex.get_loc(self, key, method, tolerance)
387 raise KeyError(key) from err
388 self._check_indexing_error(key)
--> 389 raise KeyError(key)
390 return super().get_loc(key, method=method, tolerance=tolerance)
KeyError: 'SAM_x1'
Danke für die Unterstützung und viele Grüße!