Support Board

Date/Time: Sat, 20 Apr 2024 06:58:08 +0000

Post From: Python for Sierra Chart

[2014-07-10 08:09:53] Link To Thread - Link To Post [Go To First Post]
ganz - Posts: 1048
Kiwi The CSV is good but we need to ask SC Team to support ISO 8601. http://pandas.pydata.org/pandas-docs/version/0.13.1/io.html#io-read-csv-table read_csv has a fast_path for parsing datetime strings in iso8601 format, e.g “2000-01-01T00:01:02+00:00” and similar variations. If you can arrange for your data to store datetimes in this format, load times will be significantly faster, ~20x has been observed. This has been tested and proved. (~16x in my case) And yes, I'm happy to use scid for charting any data I need. Another "+" for HDF5 : the format has an internal "file system". It makes much more easy to manage thousands of symbols, it makes users feel comfortable with a db, I believe.