#FirstDoNoHarm #ChronicAllies #CdnEd #PANS #PANDAS #MCAS #Neurodiversity #EducationCanada #InclusiveEducation #SchoolSupport #TeacherPD #TeacherTips

UK Police Raid Illegal Panda Bear Fighting Gang. | NEWSISHY Armed officers have raided an illegal panda bear fighting club housed in an industrial park in Dorset. Police were tipped off about the club by a disgruntled patron who had lost £10,000.

UK Police Raid Illegal Panda Bear Fighting Gang.

FULL STORY: newsishy.com/stories/pand...

#uk #pandas #cagefighting #satire #newsishy

Meet Lucas, one of the red pandas at the #SanDiegoZoo! He is very busy today.

#pandas #sandiego #animals #nature #wildlife

Changing your clocks this weekend? Or did you do so a few weeks ago? Or maybe you never do?

In the latest Bamboo Weekly, we use #Python #Pandas to see which countries observe DST, and for how long each year.

Check it out: buff.ly/xH221g4

MORE WILDLIFE The ambitious plan to create an endless animal habitat MORE WILDLIFE How Singapore’s Urban Design Makes Way for Wildlife | WILD HOPE 🐻 30 M...

#wildlife 🐢 MORE WILDLIFE 🦫 #pandas #carnivores #polarbears #whitebellbird #arcticreindeer #capybara #hippo #moose #ibex #redpanda #aardvark #bears #rhinos #turtles #beavers #rabbits #tigers #oryx #bison #Singapore
tom-gillispie.blogspot.com/2024/09/more...

Analisis Survei: Tren Penjualan Data Entry & Excel Projects for $15-25 USD / hour. Saya memiliki kumpulan data survei yang perlu diolah untuk menggali tren penjualan dengan fokus utama pada pertumbuhan

#Business #Analysis #Data #Analysis #Data #Entry #Data #Visualization #Excel #Pandas #Python

Origin | Interest | Match

#黒い樹海 (2015 #AughtVoid). jackrabbits outside the #UniversityOfAlberta. #Pandas on the ice. powerful noise heard in #Edmonton.

sentientruin.bandcamp.com/album/kuroi-...

Playing cards sized ink illustration of a panda facing the viewer.

Panda
Having fun making art cards when I can't get myself to work on something bigger.
#art #inkart #artcards #pandas

Copy-on-Write (CoW) — pandas 3.0.1 documentation - PyData | No copy is necessary in this example. Creating multiple references keeps unnecessary references alive and thus will hurt performance with Copy-on-Write. ## Copy-on-Write optimizations# A new lazy copy mechanism that defers the copy until the object in question is modified and only if this object s

PandasのCopy-on-Writeが本格始動。副作用を排除しつつメモリコピーを抑制する設計は、データ分析の常識を覆します。

・不要なコピーを回避し処理速度が向上
・Viewとデータ共有の境界が明確化
・副作用によるバグを未然に防止

#Python #Pandas

A #Python #Pandas column contains comma-separated values. How can you get the first of those?

First, break each string into a list:

df['x'].str.split(',')

Then use .str[0] to grab the first element from the resulting list:

df['x'].str.split(',').str[0]

Want to check whether a #Python #Pandas string series only contains digits? Use str.isdigit:

df['x'].str.isdigit()

This returns a boolean series, with df's index. You can then convert the digit-containing strings to integers:

df.loc[pd.col('x').str.isdigit(), 'x'].astype(int)

Want to retrieve a slice from a string column in your #Python #Pandas data frame? Use .str.slice:

df['a'].str.slice(1, 10) # or .str[1:10]
df['a'].str.slice(1, 10, 2) # or .str[1:10:2]
df['a'].str.slice(None, 10) # or .str[:10]
df['a'].str.slice(1, None) # or .str[1:]

Copy-on-Write (CoW) — pandas 3.0.1 documentation - PyData | The following example will operate inplace: ``` In : df = pd. DataFrame({"foo":[1, 2, 3], "bar":[4, 5, 6]})In : df. iloc[0, 0] = 100In : dfOut: foo bar 0 100 4 1 2 5 2 3 6 ``` The object `df` does not share any data with any other object and hence no copy is triggered when updating the values. In

pandasのCopy-on-Write導入で分析の効率が劇的に向上します。不要なコピーが抑制され、メモリと速度が改善。

・遅延コピー：変更時のみ実行
・ビュー最適化：操作の高速化
・非破壊的変更：副作用の排除

#Python #Pandas

Want to retrieve from a string column in your #Python #Pandas data frame? Use .str.get:

df['a'].str.get(0) # one character
df['a'].str.get(i) # using an index variable

But wait: You can use [], in place of .get:

df['a'].str[0] # alt syntax!

A recent paper finds that when new albums drop, streaming traffic increases — and so do traffic fatalities. 🤯

In today's Bamboo Weekly, we investigate this data with #Python #Pandas, using a variety of data-analysis techniques — grouping, joins, and datetime values.

Check it out: buff.ly/ZtkMamY

Your #Python #Pandas data frame has a multi-index, and you want to remove one part — not return it to be a regular column? Add drop=True:

df.reset_index(level=1) # index level 1 becomes a column in df
df.reset_index(level=1, drop=True) # index level 1 is removed

Mastering Pandas — Part 3: Data Cleaning, Merging & Joining Pandas for Data Science Series — Article #3

Part 3 of my Mastering Pandas series is live! 🚀

🧹 Data Cleaning
🔗 Merging & Joining

Real data is messy — this article shows you how to fix it and combine it.

hussein16mahdi.medium.com/mastering-pa...

#Python #Pandas #DataScience #AcademicSky #Science #SciComm #DotNet #AI

Album art from the album Out to Sea by Pandas & People

Tom is now listening to Find You
https://open.spotify.com/track/5IzVL3gIya2cbzeZTcvyY7

#Pandas&People

A panda eating bamboo at the San Diego Zoo.

Oh, hello there! If you haven't gone to see the #pandas at the San Diego Zoo, you are missing out. 🐼

#wildlifephotography #animals #nature #bearoftheday #cute #Wildlife #conservation

Your #Python #Pandas data frame has a multi-index? Return selected parts to columns with the "level" keyword argument:

df.reset_index(level=1) # one column
df.reset_index(level=[0, 2]) # two columns
df.reset_index(level='y') # one column, if named

What's New in pandas 3.0: Expressions, Copy-on-Write, and Faster ... ## Copy-on-Write Is Now the Default If you’ve used pandas, you’ve probably seen the `SettingWithCopyWarning` at some point. It appears when pandas can’t tell if you’re modifying a view or a copy of your data: `SettingWithCopyWarning` `# This pattern caused confusion in pandas < 3.0 df2 = df[df["va

pandas 3.0でSettingWithCopyWarningが過去のものに。Copy-on-Write標準化で挙動が直感的になります。

・フィルタリングは常にコピーを返却
・副作用を排除し安全な操作へ
・pd.col導入でより宣言的な記述に

#Python #Pandas

Fun Fact: Did you know pandas represent national pride in China?
#Pandas #Cute #Animals

CRT VHS RETRO looking base edit art of my fursona as an anthro panda in a hanfu in a Chinese Garden with the words saying "Happy National Panda Day" in both english and Chinese.

It's Panda Day!

Happy National Panda Day! #furry #furries #furryfandom #chineseculture #pandas #nationalpandaday #anthro #vaporwave #vhsasthetic

fineartamerica.com/featured/pan...
#Pandas #Family #Cuddly #Panda-Monium #Panda-Rama #Bamboo #AI #CoPilot

Return a #Python #Pandas data frame's index to a regular column with reset_index:

df = df.reset_index()

• 1-column index? It's now a regular column.
• Multi-index? Its columns are all regular columns.

reset_index returns a new data frame. It doesn't modify the original.

Red panda in a tree upside down saying "Get the bad drawings out!" for Panda Day. Doodle of a Giant Panda next to #TheArtGym

Happy #NationalPandaDay ! Let's study these little cuties! And maybe the big fake pandas too. :P
www.twitch.tv/kaseysnowart

We'll look at everyone's studies at the end of stream!

#TheArtGym #pandas

It's National Panda Day! What do you love/like about these cuddly-looking bears? Let me know in the comments! #nationalpandaday #pandas

Happy #NationalPandaDay 🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼🐼
I used to have more pandas in my collection but I had to get rid of a lot of stuff when I moved. I had a giant panda that I could actually sit on like a bean bag chair, but I didn't. He sat on my bed. I miss that one.

#AnimalLovers #Pandas

10 facts about pandas! - National Geographic Kids Check out ten facts about pandas here at National Geographic Kids. Learn where pandas live, what they eat, how big they grow and much more!

Happy #NationalPandaDay 🐼
Here are a few facts about #Pandas 🐼🐼🐼🐼🥹

#AnimalLovers

www.natgeokids.com/uk/discover/...

#hedgewatch
@hedgewatchers.bsky.social
#pandas
We had a panda family at the Toronto Zoo a few years ago. They moved on to Alberta. They returned to China during the pandemic because the zoo had difficulty procuring bamboo. They were called Er Shun and Da Mao.