[Python] Data-frame to show selected results only from columns divisions

A data-frame to divide the month columns by the Total column. At the end, I want to only show the results greater than 35% (0.35).

import pandas as pd

data = {'Name' : ["John","Peter","Kate","Liz"],
'Jan-2016': [408,88,277,32],
'Feb-2016': [313,348,73,302],
'Mar-2016': [497,197,196,164],
'Apr-2016': [88,87,447,118],
'May-2016': [79,20,235,273],
'Total': [1385,740,1228,889]}

df = pd.DataFrame(data)

df_1 = df[["Jan-2016","Feb-2016","Mar-2016","Apr-2016","May-2016"]].div(df["Total"], axis=0)




I can only work out the calculation.

What's the way to output the results greater and equal to 0.3 only? (please note 1 person may have 0-3 columns fit).

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