Setting number format for floats when writing dataframe to Excel - python-3.x

Question

I have a script producing multiple sheets for processing into a database but have strict number formats for certain columns in my dataframes.
I have created a sample dict for based on column headers and number format required and a sample df.
import pandas as pd
df_int_headers=['GrossRevenue', 'Realisation', 'NetRevenue']
df={'ID': [654398,456789],'GrossRevenue': [3.6069109,7.584326], 'Realisation': [1.5129510,3.2659478], 'NetRevenue': [2.0939599,4.3183782]}
df_formats = {'GrossRevenue': 3, 'Realisation': 6, 'NetRevenue': 4}
df=pd.DataFrame.from_dict(df)
def formatter(header):
for key, value in df_formats.items():
for head in header:
return header.round(value).astype(str).astype(float)
df[df_int_headers] = df[df_int_headers].apply(formatter)
df.to_excel('test.xlsx',index=False)
When using current code, all column number formats are returned as 3 .d.p. in my Excel sheet whereas I require different formats for each column.
Look forward to your replies.

Answer 1

For me working pass dictioanry to DataFrame.round, for your original key-value 'NetRevenue': 4 are returned only 3 values, in my opinion there should be 0 in end which is removed, because number:
df={'ID': 654398,'GrossRevenue': 3.6069109,
'Realisation': 1.5129510, 'NetRevenue': 2.0939599}
df = pd.DataFrame(df, index=[0])
df_formats = {'GrossRevenue': 3, 'Realisation': 6, 'NetRevenue': 5}
df_int_headers = list(df_formats.keys())
df[df_int_headers] = df[df_int_headers].round(df_formats)