Feature request: easier digit format in to_latex()

[kolibril13]

Easier digit format

It is possible to change the digit format for the columns in a latex table like this

import pandas as pd
data  = [[1,2,3],
         [4,5,6],
         [7,8,9.001]]
df = pd.DataFrame(data, columns=['a', 'b', 'c'], index = ["foo", "bar" , "ho"])
cm0 =lambda x:'%1i'   %x
cm1 =lambda x:'%1.1f' %x
cm3= lambda x:'%1.3f' %x
format= [cm0, cm1, cm3]
latex_tab = df.to_latex( formatters= format)
print(latex_tab)

However it is really inconvenient to define everytime a new lambda function. It would be great if there would be the option:

latex_tab = df.to_latex( data, formatters_col= ['%1i','%1.1f','%1.3f'])

Furthermore, changing the digits for one row is even more difficult. It would be great to have also the option

latex_tab = df.to_latex( data, formatters_index= ['%1i','%1.1f','%1.3f'])

[WillAyd]

I think the first request here is reasonable and probably not a lot of effort. If you'd like to take a look and submit a PR would certainly be welcome

Not sure about the second as AFAIK we don't provide row-wise styling elsewhere in the codebase, though I could be wrong with that

[simonjayhawkins]

I think the first request here is reasonable and probably not a lot of effort. If you'd like to take a look and submit a PR would certainly be welcome

agreed.

Not sure about the second as AFAIK we don't provide row-wise styling elsewhere in the codebase, though I could be wrong with that

ignoring the second feature request, could make the api change simpler. change the current formatters parameter to accept list of strings or a callables (or maybe mixed?). no need for additional arguments.

[wgranados]

take