I\'m looking to automate the process of converting many .CSV files into .DTA files via Python. .DTA files is the filetype that is handled by the Stata Statistics language.
(copypasting from my answer to a previous question)
pandas DataFrame objects now have a "to_stata" method. So you can do for instance
import pandas as pd
df = pd.read_stata('my_data_in.dta')
df.to_stata('my_data_out.dta')
DISCLAIMER: the first step is quite slow (in my test, around 1 minute for reading a 51 MB dta - also see this question), and the second produces a file which can be way larger than the original one (in my test, the size goes from 51 MB to 111MB). Spacedman's answer may look less elegant, but it is probably more efficient.