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Description
Pandas exposes a thousands
optional parameter to read_csv
used to specify a custom thousands separator, so that 1,000
or 1_000
can be successfully parsed to a numeral in the resulting DataFrame.
Unfortunately, Pandas is missing the very same parameter for to_csv
, so that a DataFrame containing 1000
ends up serialized to csv as 1,000
or 1_000
.
I understand the general issue of custom float formatting in Pandas remains open (see #4668) and may not even find a solution. However, this particular use case sounds a bit more accessible, since it has been done successfully for read_csv
.
guryaniv, massardier, amilendra and andrewdunkel