Getting last non na value across rows in a pandas dataframe

Question

I have a dataframe of shape (40,500). Each row in the dataframe has some numerical values till some variable column number k, and all the entries after that are nan.

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Answer 1

use agg('last')

df.groupby(['status'] * df.shape[1], 1).agg('last')

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'last' within agg produces that last valid value within group. I passed a list of length equal to the number of columns. Each value of this list is 'status'. That means that I'm grouping by one group. The result is a dataframe with one column named 'status'