Generate a #Python #Pandas DatetimeIndex of datetime values, specifying the frequency, by passing freq and a code:
pd.date_range(start='2026-03-01', end='2026-05-01', freq='8h')
This returns a 184-element DatetimeIndex with evenly-spaced datetime values in that period.
Germ of a PANDAmic
🐼🐼🐼
Erreger einer PANDAmie
*BA DUM TSS*
#KätToon #Panda #badpuns #schlechteWortwitze #Pandas #pandenic #Pandemie
Generate a #Python #Pandas DatetimeIndex of datetime values with https://pd.date_range:
https://pd.date_range(start='2026-03-01', end='2026-05-01', periods=10)
This returns a 10-element series with evenly-spaced datetime values in that period.
Every dataframe library ships with hundreds of operations. pandas alone has over 200 methods on a DataFrame. Is pivot different from melt? Is apply different from map? What about transform, agg, applymap, pipe? Some of these seem like the same operation wearing different hats. Others seem genuinely distinct. Without a framework for telling them apart, you end up memorizing APIs instead of understanding structure.
The Strait of Hormuz is closed — which, we know, is stopping oil exports.
But a lot of the world's fertilizer also comes from there.
How much? And which countries depend on it?
That's what we analyze, with #Python #Pandas, in the latest Bamboo Weekly!
Check it out: https://BambooWeekly.com
I'm tired of this #Pandas useless warning.
In what world do they think it's anything but annoying to warn people about one of the most common regular expression feature? Plus, using non-capturing groups is irrelevant to a simple match and would be more verbose.
Have a #Python #Pandas series with datetime values, and want all those until now? Compare with pd.Timestamp.now():
df.loc[ pd.col('when') < pd.Timestamp.now() ]
This returns the rows from df where the "when" column is before now.
Want to check whether a #Python #Pandas series contains another string? Use .str.contains:
df['x'].str.contains('a')
This returns a boolean series, whose index matches that of df.
Keep only those rows containing 'a':
df.loc[ pd.col('x').str.contains('a') ] # Pandas 3 syntax
Рейтинг языков программирования на GitHub: анализ 2024–2025 в JupyterLab и Anaconda
Мы не стали спорить с TIOBE и RedMonk и собрали свой рейтинг языков программирования на основе GitHub. Данные за 2024–2025 показывают неожиданные вещи: JavaScript впереди, TypeScript резко растёт, а Rust и Go выигрывают по качеству проектов. Разбираем, что стоит за цифрами и где могут быть искажения.
https://habr.com/ru/companies/hostkey/articles/1017990/
#Python #GitHub_API #JupyterLab #анализ_данных #визуализация_данных #pandas #рейтинг_языков_программирования #репозитории #Data_Engineering #hostkey
Dinge, die mich davon abhalten, noch produktiver in meiner Arbeit zu sein:
- HTTP Error 503 einer gewissen API (mal wieder...)
- marodes Streckennetz der #Bahn
- dieser eine Spezialfall in #pandas, den ich schon wieder vergessen habe
- unbefugte Personen im Gleis
- #PyCharm "updating skeletons"/ "indexing"
- "Dieser Zug fährt heute nur bis Ahrensburg. Grund dafür sind Maßnahmen zur Stabilisierung des Betriebsablaufs."
- Windows macht ein Update
Reuven M. Lerner
Kät´n´Toots (she/her)
GripNews
Guillaume Louvel
Habr
Karl Hänsel