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pandas in python

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pandas in python

Interest over time

0255075100Oct 12 – 18, 2025Dec 21 – 27, 2025Mar 8 – 14, 2026May 17 – 23, 2026Aug 2 – 8, 2026Oct 11 – 17, 2026
pandas in pythonDashed: the latest period is still in progress.
Show the data (53 points)
Timepandas in python
Oct 12 – 18, 202571
Oct 19 – 25, 202569
Oct 26 – Nov 1, 202570
Nov 2 – 8, 202583
Nov 9 – 15, 202572
Nov 16 – 22, 202575
Nov 23 – 29, 202573
Nov 30 – Dec 6, 2025100
Dec 7 – 13, 202583
Dec 14 – 20, 202565
Dec 21 – 27, 202543
Dec 28, 2025 – Jan 3, 202643
Jan 4 – 10, 202658
Jan 11 – 17, 202663
Jan 18 – 24, 202670
Jan 25 – 31, 202672
Feb 1 – 7, 202672
Feb 8 – 14, 202663
Feb 15 – 21, 202668
Feb 22 – 28, 202670
Mar 1 – 7, 202668
Mar 8 – 14, 202667
Mar 15 – 21, 202660
Mar 22 – 28, 202669
Mar 29 – Apr 4, 202667
Apr 5 – 11, 202666
Apr 12 – 18, 202661
Apr 19 – 25, 202662
Apr 26 – May 2, 202668
May 3 – 9, 202667
May 10 – 16, 202674
May 17 – 23, 202671
May 24 – 30, 202670
May 31 – Jun 6, 202680
Jun 7 – 13, 202663
Jun 14 – 20, 202659
Jun 21 – 27, 202656
Jun 28 – Jul 4, 202653
Jul 5 – 11, 202654
Jul 12 – 18, 202639
Jul 19 – 25, 202643
Jul 26 – Aug 1, 202640
Aug 2 – 8, 202639
Aug 9 – 15, 202637
Aug 16 – 22, 202634
Aug 23 – 29, 202633
Aug 30 – Sep 5, 202629
Sep 6 – 12, 202632
Sep 13 – 19, 202631
Sep 20 – 26, 202635
Sep 27 – Oct 3, 202634
Oct 4 – 10, 202632
Oct 11 – 17, 2026 (partial)33

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