Package: python-pandas Version: 0.20.3-10 Severity: wishlist Dear Maintainer,
Thank you very much for maintaining Debian's pandas package. I say with little fear of contradiction, its very useful! The main reason I'm writing is to humbly suggest improving read_csv() to also automatically detect datetime data types by default. read_csv() already automatically detects numeric data types by default. And, if its "parse_dates" option is specified with one or more column indices, it also detects datetimes. But, but, but... it seems to me that it would be convenient and reasonable for read_csv() to automatically detect BOTH numeric AND datetime data types by default. Keep it simple! Worried about speed? Assuming numeric data types can be detected faster, check for them first. Then datetimes. Still worried about speed? Have an option to turn off auto-detection of datetime data. Thanks, Kingsley -- System Information: Debian Release: stretch/sid APT prefers unstable-debug APT policy: (500, 'unstable-debug'), (500, 'unstable') Architecture: i386 (i686) Kernel: Linux 4.4.0-1-686-pae (SMP w/2 CPU cores) Locale: LANG=en_US.UTF-8, LC_CTYPE=en_US.UTF-8 (charmap=UTF-8) Shell: /bin/sh linked to /bin/bash Init: systemd (via /run/systemd/system) Versions of packages python-pandas depends on: ii python 2.7.13-1 ii python-dateutil 2.2-2 ii python-numpy 1:1.13.1-1 ii python-pandas-lib 0.20.3-10 ii python-pkg-resources 18.4-2 ii python-six 1.10.0-1 ii python-tz 2012c+dfsg-0.1 pn python:any <none> Versions of packages python-pandas recommends: ii python-bs4 4.4.1-1 ii python-html5lib 0.999999999-1 ii python-lxml 4.1.0-1 ii python-matplotlib 2.0.0-3 ii python-numexpr 2.6.2-2 ii python-openpyxl 2.3.0-3 ii python-scipy 0.19.1-1 ii python-statsmodels 0.8.0-1 pn python-tables <none> ii python-xlrd 0.9.4-1 ii python-xlwt 0.7.5+debian1-1 Versions of packages python-pandas suggests: pn python-pandas-doc <none> -- no debconf information
