Skip to content

🌐 [translation-sync] [polars] Fetch the FRED CSV with requests before parsing it #171

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
mmcky wants to merge 2 commits into
base: main
Choose a base branch
from
Open

🌐 [translation-sync] [polars] Fetch the FRED CSV with requests before parsing it #171

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
921911c
Update translation: lectures/polars.md
mmcky Oct 13, 2026
055ba17
Update translation: .translate/state/polars.md.yml
mmcky Oct 13, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions .translate/state/polars.md.yml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
source-sha: 55c87c9fdbdb522866c5b6bbdc65c073941d7f16
synced-at: "2026-08-18"
source-sha: b0c58ab96a9c537fcf766e4f2d9fd32f4a0fc2f7
synced-at: "2026-10-13"
model: claude-sonnet-5
mode: UPDATE
section-count: 6
tool-version: 0.26.0
tool-version: 0.29.4
8 changes: 6 additions & 2 deletions lectures/polars.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -561,7 +561,8 @@ print(f"Polars lazy: {lazy_time:.4f}s")

یک پایگاه داده مهم برای اقتصاددانان [FRED](https://fred.stlouisfed.org/) است --- مجموعه‌ای گسترده از داده‌های سری زمانی که توسط فدرال رزرو سنت‌لوئیس نگهداری می‌شود.

متد `read_csv` در Polars می‌تواند داده را مستقیماً از یک URL دریافت کند.
فایل CSV را با استفاده از [requests](https://requests.readthedocs.io/en/latest/) دانلود می‌کنیم
و محتوای آن را به متد `read_csv` در Polars می‌دهیم.

از `try_parse_dates=True` برای تجزیه خودکار ستون تاریخ استفاده می‌کنیم

Expand All @@ -581,7 +582,10 @@ fred_url = ('https://fred.stlouisfed.org/graph/fredgraph.csv?'
'fgst=lin&fgsnd=2020-02-01&line_index=1&'
'transformation=lin&vintage_date=2024-07-29&'
'revision_date=2024-07-29&nd=1948-01-01')
data = pl.read_csv(fred_url, try_parse_dates=True)
import requests

r = requests.get(fred_url)
data = pl.read_csv(r.content, try_parse_dates=True)
```

بیایید چند ردیف اول را بررسی کنیم
Expand Down
Loading