I want to find index of column that contains specific value. I have big dataset (more than 2500 columns) and value can be in any of the columns.
So, I do not know name of the column where is that value. Dataset is big, more than 2500 columns, and value can be in any of 2500 columns.
I need column index, not row index
This is only an example dataset:
import pandas as pd
#THIS IS THE EXAMPLE ONLY, DATASET IS VERY BIG
df = pd.DataFrame({'one':[1,2,3,4,5],
'two':[45,4,3,2,4],
'three':[4,2,121,111,5]})
print(df)
i = df[df==111].index
print(i)
#RESULT SHOULD BE INDEX 2
Try stack
and idxmax
n = (df.stack() == 111).idxmax()[1]
df.columns.get_loc(n)
Out[572]: 2
This should work:
df.eq(111).idxmax().max()
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