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Python pandas recipe of the day: Did you know you can read in .csv's from your clipboard into pandas?? 🤯
New Pandas Recipe 🔥 Here's an easy way to add a default value to a new column in pandas. usepandas.com/csv/add-column…
More cool pandas stuff from the Twitter community!
A little pandas trick to inspect values from a record with tons of fields The first field: df.head(1).T Fields 2, 3: df[1:3].T Transposing like this sends column headers into the index and makes the values really nice to digest #python
![ZazenCodes's tweet image. A little pandas trick to inspect values from a record with tons of fields
The first field: df.head(1).T
Fields 2, 3: df[1:3].T
Transposing like this sends column headers into the index and makes the values really nice to digest #python](https://pbs.twimg.com/media/ElhJQRYU0AEAbAj.png)
Part 2 to this awesome #python pandas tip. Share a .csv quickly (like in a slack snippet) or paste a dataframe into an excel file, you can do this: df․to_clipboard(sep=',') It copies the dataframe into your system clipboard Follow for more #python #pandas tips
Cool #python pandas trick. Saves time for quick .csv manipulations and one-offs. Great for when a coworker sends you some data in slack. No need to save the .csv file. Just do this. - ctrl/cmd + c - pandas․read_clipboard()
pandas․read_clipboard() A great little trick for #datascientists when doing small one-offs! We'll be adding this to our site usepandas.com soon :)
Cool #python pandas trick. Saves time for quick .csv manipulations and one-offs. Great for when a coworker sends you some data in slack. No need to save the .csv file. Just do this. - ctrl/cmd + c - pandas․read_clipboard()
when you do a twitter search for "python pandas" and this search result returns 🤣
Cool #python pandas trick. Saves time for quick .csv manipulations and one-offs. Great for when a coworker sends you some data in slack. No need to save the .csv file. Just do this. - ctrl/cmd + c - pandas․read_clipboard()
cool pandas tool 👀
I recently updated my pandas dataframe GUI so you can easily embed it in your own Flask apps. Here's a quick demo... v.redd.it/7usty7d04kv51
Through pandas, you get acquainted with your data by cleaning, transforming, and analyzing it.#python
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