In pandas can you aggregate by mean and round that mean to the nearest int?

Question

So I have 169 columns which have been treated to leave 1=for yes and 0= for no, now I need to aggregate the 2 million rows by mean, and the round that results to the nearest int, how could I get that?

The image is just showing that the values per column are either 0 or 1

Answer 1

If data is your dataframe, you can get the mean of all the columns as integers simply with:

data.mean().astype(int)  # Truncates mean to integer, e.g. 1.95 = 1

or, as of version 0.17.0:

data.mean().round(0)  # Rounds mean to nearest integer, e.g. 1.95 = 2 and 1.05 = 1

Answer 2

You can use python's round function to get mean value in nearest integer, for example see below mean of LotArea was rounded to nearest int. avg_lot_size = round(home_data['LotArea'].mean())

if home_data['LotArea'].mean() gives value 100056.89 then avg_lot_size would be= 100057