read_excel时熊猫数据框更改浮点值

Question

Hi I have a situation in hand ,

I have an excel whose one column contains the following :

    DOUBLE_FI_EXC_RETURN
      0.21
     -0.52
     -0.28
     -0.01
      0.45
      0.24
     -1.12
     -0.14

Now when i do df.read_excel() it returns this data frame:

DOUBLE_FI_EXC_RETURN
 0.214307422
-0.517325534
-0.28279697
-0.005493749
 0.452745819
 0.238851397
-1.116148896
-0.141628643

I think it is giving me an accurate value but i need the same values from excel . How should i get them

Answer 1

You need to round the values after 2 precisions if you really want to. Excel might be showing you values that are rounded but pandas might be capturing the exact values with correct precision. If you really want to round the values you can do so by:

import pandas as pd
df=pd.DataFrame({'DOUBLE_FI_EXC_RETURN':[0.214307422,
                                         -0.517325534,
                                         -0.28279697,
                                         -0.005493749,
                                          0.452745819,
                                          0.238851397,
                                         -1.116148896,
                                         -0.141628643,]})
df.DOUBLE_FI_EXC_RETURN.apply(lambda x:round(x,2))

Or using numpy

np.round(df.DOUBLE_FI_EXC_RETURN, 2)

Answer 2

如果要降低精度，可以使用round

round(DOUBLE_FI_EXC_RETURN, 2)