#pandastricks search results
🐼🌈 ＼🌴 Panda 7日企画 🌴／ 🌈🍏 🤩終了まであと2日 #サントリー 🧊-196 王林 350ml 24本 5⃣名様に🎁 #応募 でお忘れなく〜🏖️🌊💞 ①@LuLuRin_を #フォロー ②本投稿を #リポスト ③当選者にはDMを送付 ④#コメント をつけてコメントすると当選確率🆙 #懸賞 #拡散希望︎ #抽選…
🐼🤹♂️ pandas trick #100! 🎉 Want to read a HUGE dataset into pandas but don't have enough memory? Randomly sample the dataset *during file reading* by passing a function to "skiprows" See example 👇 Thanks to @TedPetrou for this trick! 🙌 #Python #DataScience #pandastricks
🐼🤹♂️ pandas trick #98: Problem: Your DataFrame is in "wide format" (lots of columns), but you need it in "long format" (lots of rows) Solution: Use melt()! ⛄➡️💧 See example 👇 Long format is better for analysis, transformation, merges... #Python #DataScience #pandastricks
🐼🤹♂️ pandas trick #94: Want to save a *massive* amount of memory? Fix your data types: ➡️ 'int8' for small integers ➡️ 'category' for strings with few unique values ➡️ 'Sparse' if most values are 0 or NaN More info: pythonspeed.com/articles/panda… by @itamarst #Python #pandastricks
🐼🤹♂️ pandas trick #93: Want to combine the small categories in a Series (<10% frequency) into a single category? 1. Save the normalized value counts 2. Filter by frequency & save the index 3. Replace small categories with "Other" See example 👇 #Python #pandas #pandastricks
We’ve just minted 5 special $PANDU NFTs for: @iamkadense @TheOnlyNom @theunipcs @solportskg @SolportTom As proud supporters of the @bonk_inu and @bonk_fun ecosystem, we’re excited to have minted and delivered them directly to their wallets. Building together, one block at a…
When your foodie spirit is TOO strong! This eager #panda couldn't even sit down properly before tumbling over for that #bamboo shoot... Priority one: SNACKS! 🐼
The way 3 Pandas stand in this picture is literally the most thug-gangster ass-shit like holy hell it's so badass
This panda one thoughhhh is sooo cute! Look at her little eyes I love the detail of these so much ❤️🥹
『KING OF PRISM-Your Endless Call-み～んなきらめけ！プリズム☆ツアーズ』への熱い応援、誠にありがとうございます！プリズム煌めくメモリアルなデザインが #ボカンデパートメント に登場✨これからの季節に活躍するトレーナーや長袖Tシャツも展開します♪詳しくはコチラ↓ amazon.co.jp/stores/page/70……
A panda researchers in China, wear panda costumes to give mother-like feeling to a lonely baby panda who lost her mo
~Something new~ Tried "Pandas Profiling" following @justmarkham's #pandastricks in a Jupyter notebook provisioned on @IBMWatson studio and here's the output...
Here my points so far, still early to join @spicenet campaign Register here 👉 portal.spicenet.io/?referralCode=…
Purple Pandas in panda onesies!! LETS GO!!! I wanted to make these as soon as i heard that they're gonna wear a panda onesie lol #DreamMCCThumbnail
The strongest pandas aren’t the ones who never fall — they’re the ones who get up, smile, and keep climbing. 🎋#Motivation #PanduPandas $pandu $solana
🐼🤹♂️ pandas trick #97: Want to convert "year" and "day of year" into a single datetime column? 📆 1. Combine them into one number 2. Convert to datetime and specify its format See example 👇 List of all format codes: strftime.org #Python #DataScience #pandastricks
Handling missing data like a boss! 💪 Dealing with NaNs or null values can be a headache, but Pandas provides robust tools like dropna() and fillna() to manage missing data gracefully. 🤯🔍 #DataCleaning #PandasTricks
🐍 Python Tip of the Day: Dealing with categorical data in Pandas? Use `pd.get_dummies()` to effortlessly convert them into indicator variables (one-hot encoding). This simplifies your data analysis! 🐱📈 #Pandas #GetDummies #PandasTricks #CategoricalData #InfiniteLoop
Save data from a website to CSV using BeautifulSoup. Thank me later #Pandas #PandasTricks #WebScraping #Python #Selenium #100DaysOfCode
Google Sheet "CSV" into A Pandas Dataframe. Thank me later #Pandas #PandasTricks #Python #GoogleSheets #100daysofcode
Combine multiple CSV's into a single one. Thank me later! #Pandas #Python #PandasTricks #100DaysOfCode
Lesser-known pandas tricks (2019) towardsdatascience.com/5-lesser-known… #Lesser-known #PandasTricks
🐼🤹♂️ pandas trick #100! 🎉 Want to read a HUGE dataset into pandas but don't have enough memory? Randomly sample the dataset *during file reading* by passing a function to "skiprows" See example 👇 Thanks to @TedPetrou for this trick! 🙌 #Python #DataScience #pandastricks
🐼🤹♂️ pandas trick #83: Problem: Your dataset has many columns and you want to ensure the correct data types Solution: 1. Create CSV of column names & dtypes 2. Read it into a DF 3. Convert it to dict 4. Use dict to specify dtypes of dataset 👇 Example 👇 #Python #pandastricks
🐼🤹♂️ pandas trick #94: Want to save a *massive* amount of memory? Fix your data types: ➡️ 'int8' for small integers ➡️ 'category' for strings with few unique values ➡️ 'Sparse' if most values are 0 or NaN More info: pythonspeed.com/articles/panda… by @itamarst #Python #pandastricks
🐼🤹♂️ pandas trick #85: Three useful ways to convert one set of values to another: 1. map() using a dictionary 2. factorize() to encode each value as an integer 3. comparison statement to return boolean values See example 👇 #Python #DataScience #pandastricks @python_tip
🐼🤹♂️ pandas trick #88: Goal: Rearrange the columns in your DataFrame Options: 1. Specify all column names in desired order 2. Specify columns to move, followed by remaining columns 3. Specify column positions in desired order See example 👇 #Python #pandastricks @python_tip
🐼🤹♂️ pandas trick #89: Need to split names of variable length into first_name & last_name? 1. Use str.split(n=1) to split only once (returns a Series of lists) 2. Chain str[0] and str[1] on the end to select the list elements See example 👇 #Python #DataScience #pandastricks
![justmarkham's tweet image. 🐼🤹♂️ pandas trick #89:
Need to split names of variable length into first_name &amp; last_name?
1. Use str.split(n=1) to split only once (returns a Series of lists)
2. Chain str[0] and str[1] on the end to select the list elements
See example 👇
#Python #DataScience #pandastricks](https://pbs.twimg.com/media/EJ0cfZwWoAEfO0M.jpg)
🐼🤹♂️ pandas trick #98: Problem: Your DataFrame is in "wide format" (lots of columns), but you need it in "long format" (lots of rows) Solution: Use melt()! ⛄➡️💧 See example 👇 Long format is better for analysis, transformation, merges... #Python #DataScience #pandastricks
🐼🤹♂️ pandas trick #93: Want to combine the small categories in a Series (<10% frequency) into a single category? 1. Save the normalized value counts 2. Filter by frequency & save the index 3. Replace small categories with "Other" See example 👇 #Python #pandas #pandastricks
🐼🤹♂️ pandas trick #91: Need to create a time series dataset for testing? Use pd.util.testing.makeTimeDataFrame() Need more control over the columns & data? Generate data with np.random & overwrite index with makeDateIndex() See example 👇 #Python #DataScience #pandastricks
🐼🤹♂️ pandas trick #84: My favorite feature in pandas 0.25: If DataFrame has more than 60 rows, only show 10 rows (saves your screen space!) You can modify this: pd.set_option('min_rows', 4) See example 👇 More info: pandas.pydata.org/pandas-docs/st… #Python #DataScience #pandastricks
~Something new~ Tried "Pandas Profiling" following @justmarkham's #pandastricks in a Jupyter notebook provisioned on @IBMWatson studio and here's the output...
🐍 Python Tip of the Day: Dealing with categorical data in Pandas? Use `pd.get_dummies()` to effortlessly convert them into indicator variables (one-hot encoding). This simplifies your data analysis! 🐱📈 #Pandas #GetDummies #PandasTricks #CategoricalData #InfiniteLoop
🐼🤹♂️ pandas trick #97: Want to convert "year" and "day of year" into a single datetime column? 📆 1. Combine them into one number 2. Convert to datetime and specify its format See example 👇 List of all format codes: strftime.org #Python #DataScience #pandastricks
Step 4: Outliers skewing your data? Visualize with boxplots or histograms, then tame them with winsorizing or scaling. Visualize, understand, act! #DataVisualization #PandasTricks [gpt-4]
![DiscoverWithAI's tweet image. Step 4: Outliers skewing your data? Visualize with boxplots or histograms, then tame them with winsorizing or scaling. Visualize, understand, act! #DataVisualization #PandasTricks [gpt-4]](https://pbs.twimg.com/media/F2WKKvMXgAAS_WM.jpg)
Combine multiple CSV's into a single one. Thank me later! #Pandas #Python #PandasTricks #100DaysOfCode
Google Sheet "CSV" into A Pandas Dataframe. Thank me later #Pandas #PandasTricks #Python #GoogleSheets #100daysofcode
Save data from a website to CSV using BeautifulSoup. Thank me later #Pandas #PandasTricks #WebScraping #Python #Selenium #100DaysOfCode
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