5 examples of 'drop unnamed column pandas' in Python

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39def _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)
36def drop_columns(self):
37 drop_col=self.uni_table.query('Iv<%s'%(self._iv_threshold))
38 return pd.concat([drop_col,self.uni_table[self.uni_table['Iv'].isnull()]])
420def df_column_types_rename(df):
421 result = [df[x].dtype.name for x in list(df.columns)]
422 result[:] = [x if x != 'object' else 'string' for x in result]
423 result[:] = [x if x != 'int64' else 'integer' for x in result]
424 result[:] = [x if x != 'float64' else 'double' for x in result]
425 result[:] = [x if x != 'bool' else 'boolean' for x in result]
427 return result
78def _clean_column(self, column):
79 if not isinstance(column, (int, str, unicode)):
80 raise ValueError('{} is not a valid column'.format(column))
81 return column in self.df.columns
80def _clean_columns(df, keep_colnames):
81 new_colnames = []
82 for i,colname in enumerate(df.columns):
83 if colname not in keep_colnames:
84 new_colnames.append(i)
85 else:
86 new_colnames.append(colname)
87 return new_colnames

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