Round each number in a Python pandas data frame by 2 decimals

Question

This works p_table.apply(pd.Series.round) however it has no decimal places

Documentation says

import pandas as pd  Series.round(decimals=0, out=None) 

i tried this p_table.apply(pd.Series.round(2)) but get this error:

unbound method round() must be called with Series instance as first argument (got int instance instead) 

How do I round all elements in the data frame to two decimal places?

[EDIT] Figured it out.

import numpy as np np.round(p_table, decimals=2) 

Answer 1

Since 0.17.0 version you can do .round(n)

df.round(2)       0     1     2     3 0  0.06  0.67  0.77  0.71 1  0.80  0.56  0.97  0.15 2  0.03  0.59  0.11  0.95 3  0.33  0.19  0.46  0.92  df           0         1         2         3 0  0.057116  0.669422  0.767117  0.708115 1  0.796867  0.557761  0.965837  0.147157 2  0.029647  0.593893  0.114066  0.950810 3  0.325707  0.193619  0.457812  0.920403 

Answer 2

import numpy as np np.round(p_table, decimals=2)