how to find number of consecutive decreases(increases)

Question

how to find number of consecutive decreases(increases)

I have a dataframe which has 500K rows and 12 columns for months and include start and end month. Every columns re

Answer 1

So I think instead of using argmin, you can use idxmin after renaming the column to get an integer value of the position. Then remove the value of the startMonth such as:

incr = (df1.rename(columns={col:int(col.split('_')[1]) for col in masked.columns})
           .diff(-1, axis=1) < 0).mask(~arr_bool).idxmin(axis=1) - startMonth.start
decr = (df1.rename(columns={col:int(col.split('_')[1]) for col in masked.columns})
           .diff(-1, axis=1) > 0).mask(~arr_bool).idxmin(axis=1) - startMonth.start

Then you can do the np.select as you do, or probably just a .illna(-999) should be enough as I think with this solution everywhere you have nan in the result will be where your condition startMonth.start > endMonth.end is met