Dear All,
I was hoping someone here might be able to help me. I am using the python library gseapy for enrichment analysis using enrichr. I have a pandas series with some gene names with the following values:
0 RAB4B 1 TIGAR 2 RNF44 3 DNAH3 4 RPL23A 5
ARL8B 6 CALB2 7 MFSD3 8 PIGV 9 ZNF708
I am using the following code to run my analysis:
I keep running into a Key Error that tells me that there is a problem with the 'Adjusted P-values', but I don't necessarily know where to fix this problem. The error I'm getting is as follows:
~/venv/lib/python3.7/site-packages/gseapy/enrichr.py in run(self) 418 top_term=self.__top_term, color='salmon', 419 title=self._gs, --> 420 ofname=outfile.replace("txt", self.format)) 421 if msg is not None : self._logger.warning(msg) 422 self._logger.info('Done.\n')
~/venv/lib/python3.7/site-packages/gseapy/plot.py in barplot(df, column, title, cutoff, top_term, figsize, color, ofname, **kwargs) 498 if colname in ['Adjusted P-value', 'P-value']: 499 # check if any values in
df[colname]can't be coerced to floats --> 500 can_be_coerced = df[colname].map(isfloat) 501 if np.sum(~can_be_coerced) > 0: 502 raise ValueError('some value in %s could not be typecast tofloat'%colname)/shared-libs/python3.7/py/lib/python3.7/site-packages/pandas/core/frame.py in __getitem__(self, key) 3022 if self.columns.nlevels
1: 3023 return self._getitem_multilevel(key) -> 3024 indexer = self.columns.get_loc(key) 3025 if is_integer(indexer): 3026 indexer = [indexer]
/shared-libs/python3.7/py/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance) 3080
return self._engine.get_loc(casted_key) 3081 except KeyError as err: -> 3082 raise KeyError(key) from err 3083 3084 if tolerance is not None:KeyError: 'Adjusted P-value'
Can someone tell me what I may be doing wrong?
