Tags
I was looking back at my analytics page today and wondered what were my posts about back at the beginning. My blog is managed by markata so I looked at a few ways you could pull those posts up. Turns out it's pretty simple to do, use the markata map with a filter.
from markata import Markata m.map('title, slug, date', filter='date.year==2016', sort='date')
Note
the filter is python eval that should evaluate to a boolean, all of the attributes of the post are available to filter on.
Result
[ ('⭐ jupyterlab jupyterlab', 'jupyterlab-jupyterlab', datetime.date(2016, 12, 13)), ('⭐ nickhould tidy-data-python', 'nickhould-tidy-data-python', datetime.date(2016, 12, 9)), ( '⭐ mikeckennedy write-pythonic-code-demos', 'mikeckennedy-write-pythonic-code-demos', datetime.date(2016, 11, 22) ), ( '⭐ mikeckennedy write-pythonic-code-for-better-data-science-webcast', 'mikeckennedy-write-pythonic-code-for-better-data-science-webcast', datetime.date(2016, 11, 22) ), ('⭐ rajshah4 dlgroup', 'rajshah4-dlgroup', datetime.date(2016, 11, 18)), ('⭐ pandas-dev pandas', 'pandas-dev-pandas', datetime.date(2016, 10, 5)) ]
You could use the list
command as well right within your shell and the same
map and filters work.
⬢ [devtainer-0.1.3] ❯ markata list --map title --filter='date.year==2016' [22:35:06] 2088/2145 posts skipped skip.py:36 57/2145 posts not skipped skip.py:37 ⭐ pandas-dev pandas ⭐ rajshah4 dlgroup ⭐ mikeckennedy write-pythonic-code-for-better-data-science-webcast ⭐ mikeckennedy write-pythonic-code-demos ⭐ nickhould tidy-data-python ⭐ jupyterlab jupyterlab
You could also do it with jin right inside of a markdown post using the jinja_md plugin.
{% for title, slug, date in markata.map('title, slug, date', filter='date.year==2016', sort='date') %} * [{{title}}]({{slug}}) - {{date}} {% endfor %}
Note
You do have to jinja: true
in the frontmatter of the post.
Result
- ⭐ jupyterlab jupyterlab - 2016-12-13
- ⭐ nickhould tidy-data-python - 2016-12-09
- ⭐ mikeckennedy write-pythonic-code-for-better-data-science-webcast - 2016-11-22
- ⭐ mikeckennedy write-pythonic-code-demos - 2016-11-22
- ⭐ rajshah4 dlgroup - 2016-11-18
- ⭐ pandas-dev pandas - 2016-10-05