compare as string and not as float

I have these 2 almost identical dataframes. But the comparison indicates that there is some difference in one of the columns.

try:
    from StringIO import StringIO
except ImportError:
    from io import StringIO

import pandas as pd
u_cols=['country', 'index', 'current_tm']

myst="""india, 905034 , '19.44'   
USA, 905094  , '19.33'
Russia,  905154 ,   '21:56'

"""
df = pd.read_csv(StringIO(myst), sep=',', names = u_cols)

myst1="""india, 905034 , 19.44   
USA, 905094  , '19.33'
Russia,  905154 ,   '21:56'

"""
ndf = pd.read_csv(StringIO(myst1), sep=',', names = u_cols)


(df==ndf).all()

country        True
index          True
current_tm    False
dtype: bool

If I add quote to 19.44 in the second dataframe, then I will get True for all 3 columns.

Is there any other way to compare and confirm the column current_tm is the same?