Pandas sort dataframe using custom function
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def sort_df(df, column_idx, key): | |
'''Takes dataframe, column index and custom function for sorting, | |
returns dataframe sorted by this column using this function''' | |
col = df.ix[:,column_idx] | |
temp = pd.DataFrame([]) | |
temp[0] = col | |
temp[1] = df.index | |
temp = temp.values.tolist() | |
df = df.ix[[i[1] for i in sorted(temp, key=key)]] | |
return df |
.ix
is deprecated
def sort_df(df, column_idx, key):
'''Takes dataframe, column index and custom function for sorting,
returns dataframe sorted by this column using this function'''
col = df.iloc[:,column_idx]
temp = np.array(col.values.tolist())
order = sorted(range(len(temp)), key=lambda j: key(temp[j]))
return df.iloc[order]
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