This example presents a way to parse a table in the CSV format.
The function csv_parse_line_nerr in the npm-based package
atscntrb-hx-csv-parse parses a given string into a list of
substrings separated by COMMA (or another character chosen by
the user).
Let us use the name dframe (data-frame) to refer to a table of the following format:
Date,Open,High,Low,Close,Adj Close,Volume
1985-10-01,110.620003,112.160004,110.565002,112.139999,112.139999,153160000
1985-10-02,112.139999,112.540001,110.779999,110.824997,110.824997,164640000
...
where the first row contains the name of each column. The function
dframe_read_fileref in the file myread.dats parses such a table
(contained in the file referred to by a given file handle) into a list
of gvhasbtbl-values, each of which is essentially a hashtable of gvalues
(declared in the file $PATSHOME/libats/ML/SATS/gvalue.sats).
Please find in NDX100.dats some code that parses the historic data for NDX100 (NASDAQ 100).
If you have tcc installed, you can simply issue the following command-line:
bash ./NDX100.datsto compile and then execute the code in NDX100.dats, effectively using ATS as a scripting language!
Happy programming in ATS!!!