Round values in column from floats to ints using Python

I have a dataframe, df, where I would like to round values in column from floats to ints using Python

Data

    location    a site   b site   c site
    aa          4.9000   1.72222  0.29999
    bb          5.9000   6.72222  0.46999

Note
I do not wish to round down on c site 0.29999

Desired

    location    a site   b site   c site
    aa          5        2        1
    bb          6        7        1

Doing

df[list("a site", "b site", "c site")] = df[list("a site", "b site", "c site")].astype(int)

Any suggestion is appreciated

>Solution :

Try with np.ceil round

df.update(df.select_dtypes(np.number).apply(np.ceil))
df
  location  asite  bsite  csite
0       aa    5.0    2.0    1.0
1       bb    6.0    7.0    1.0