Python Pandas read_csv float64 到字符串

Question

I'm reading below CSV file as read_csv

day,order,variant,variant_name
2020-05-04,OR_001,1000000548952,Product1
2020-05-04,OR_001,1000000056488,Product4
2020-05-04,OR_002,1000000528985,Product2

When I read this in a dataframe and then print the variant column

print(df_SalesOrders["variant"])

I get the below output.

0     1.000001e+12
1     1.000000e+12
2     1.000001e+12

Could someone please let me know how can I preserve the original number which I believe is treated as float64.

I tried the below code however that didn't help.

myarr = df_SalesOrders.variant.astype(str)

Any help is much appreciated. Thanks.

Answer 1

You need to add you change to your dataframe

df_SalesOrders.variant = df_SalesOrders.variant.astype('int64')

Answer 2

Please call

pd.options.display.float_format = '{:,.4f}'.format 
df