just use replace:
In [106]:
df.replace('N/A',np.NaN)
Out[106]:
x y
0 10 12
1 50 11
2 18 NaN
3 32 13
4 47 15
5 20 NaN
What you’re trying is called chain indexing: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
You can use loc to ensure you operate on the original dF:
In [108]:
df.loc[df['y'] == 'N/A','y'] = np.nan
df
Out[108]:
x y
0 10 12
1 50 11
2 18 NaN
3 32 13
4 47 15
5 20 NaN