TypeError: can't multiply sequence by non-int of type 'float' (python 2.7)

Question

I have a dataframe t_unit, which is the result of a pd.read_csv() function.

datetime    B18_LR_T    B18_B1_T
24/03/2016 09:00    21         


        

Answer 1

There is problem some column is not numeric. You can check dtypes:

print (t_unit.dtypes)
B18_LR_T    float64
B18_B1_T    float64
ext_T        object
dtype: object

Then try convert to numeric first by astype:

t_unit.ext_T = t_unit.ext_T.astype(float)

If:

ValueError: could not convert string to float

then use to_numeric with parameter errors='coerce' for convert bad data to NaN:

t_unit.ext_T = pd.to_numeric(t_unit.ext_T, errors='coerce')

All code:

#simulate string column
t_unit.ext_T = t_unit.ext_T.astype(str)
print (t_unit.dtypes)
B18_LR_T    float64
B18_B1_T    float64
ext_T        object
dtype: object

#convert to float
t_unit.ext_T = t_unit.ext_T.astype(float)

print (t_unit)

L = []
for key in t_unit.columns:
    ts_wk = t_unit[key].resample('W-MON')
    #remove inplace=True
    ts_wk_05p = ts_wk.apply(lambda x: x.quantile(0.05)).round(decimals=1).rename(key+'_05p')
    ts_wk_95p = ts_wk.apply(lambda x: x.quantile(0.95)).round(decimals=1).rename(key+'_95p') 
    L.append(ts_wk_05p)
    L.append(ts_wk_95p)


print (pd.concat(L, axis=1))
            B18_LR_T_05p  B18_LR_T_95p  B18_B1_T_05p  B18_B1_T_95p  ext_T_05p  \
datetime                                                                        
2016-03-28          20.2          26.8          20.1          24.8        7.0   

            ext_T_95p  
datetime               
2016-03-28        9.8