Check if every value of a column contains integer, if not print the index of that cell

Suppose I have a column with mixture of integer and float, I need to run a loop through that column to check if all values are numeric. Values that aren't numeric, dump the index of that cell in a blank list.

A column like this:

DESCRIPTION                      RATE
79th St & Private Dr - 5022 W        1.5
79th St & Allison Ave                1.5
Allison Ave & 81st St                1
81st St & Norfolk St                 1
Norfolk St & Private Dr - 8178 N     1
Norfolk St & 84th St                 1
Moller Rd & 86th St                  1.5
Zionsville Rd & 86th St              1.5

I wrote a code like this but the newlist loop isn't working.

import pandas as pd
import numpy as np

df = pd.read_csv("C:\\Python34\\python scripts\\BNSF\\data\\data.csv") #read csv
col=df.columns #read header
print(col)
r=df.shape[0] #gives number of row count
c=df.shape[1] #gives number of col count
print(r, c)
typ=df.dtypes
print(typ)

newlist=[] #creates blank list
for i in range(r,1):
    if df.iloc[i,1].dtype == np.int64:
        pass
    else:
        print(df.iloc[i,1])
        newlist.append(df.iloc[i,1])
        print(newlist)

Need changes inside that loop. Please help.