python - How can I round values in Pandas DataFrame containing mixed datatypes for further data comparison? -


i have dataframe df_left:

  idx1 idx2 idx3     idx4 valuetype value 0      a1    q  1983 q4         w    10.123 1      a1    q  1983 q4         x     2      a1    q  1983 q4         y     f 3      a1    q  1983 q4         z   nan 4      a1    q  1984 q1         w   110.456 ...

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background information

and dataframe df_right: 

  idx1 idx2 idx3     idx4 valuetype value 0      a1    q  1983 q4         w    10 1      a1    q  1983 q4         x     2      a1    q  1983 q4         y     f 3      a1    q  1983 q4         z   nan 4      a1    q  1984 q1         w   110

i compare , reconcile data both values , text of following works:

df_compare = pd.merge(df_left, df_right, how ='outer', on = ['idx1', 'idx2', 'idx3', 'idx4', 'valuetype']) df_compare.columns = ['idx1', 'idx2', 'idx3', 'idx4', 'valuetype', 'from', 'to'] df_compare = df_compare[df_compare.from!=df_compare.to]

whilst results expected, before comparison round data in value coulmn.

i have tried:

df.apply(np.round)

and also:

df.round(decimals=0, out=none)

but both expected thow error:

attributeerror: ("'str' object has no attribute 'rint'", u'occurred @ index code')

a custom method rounding floats may solve rounding mixed dtype column

 in [238]: def round_float(s):     '''1. if s float, round 0 decimals        2. else return s     '''     import re     m = re.match("(\d+\.\d+)",s.__str__())     try:         r = round(float(m.groups(0)[0]),0)     except:         r = s     return r  in [239]: s = u'''  idx1 idx2 idx3     idx4 valuetype value 0      a1    q  1983 q4         w    10.23 1      a1    q  1983 q4         x     2      a1    q  1983 q4         y     f 3      a1    q  1983 q4         z   nan 4      a1    q  1984 q1         w   110.15'''  in [240]: df1 = pd.read_csv(stringio(s), delimiter="\s+")  in [241]: df1["value2"] = df1.value.apply(round_float)  in [242]: df1 out[242]:     idx1 idx2  idx3 idx4 valuetype   value value2 0   a1    q  1983   q4         w   10.23     10 1   a1    q  1983   q4         x            2   a1    q  1983   q4         y       f      f 3   a1    q  1983   q4         z     nan    nan 4   a1    q  1984   q1         w  110.15    110

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