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My pandas canonicals ⬅ please critique!
When asking a question here, please describe the problem you are trying to solve, rather than asking about the method you think is the solution to that problem. This is known as the XY problem and can easily be averted if you ask the right questions. This will make it easy for us to understand what you're trying to do, and help you arrive at the best solution for your problem even sooner.
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profile for coldspeed at Stack Overflow, Q&A for professional and enthusiast programmers
(Passively Maintained) Pandas Canonicals
The full list is on GitHub. Community contributions welcome.
- Pandas Merging 101: Everything you ever wanted to know about merging and more
- How to iterate over a DataFrame. Spoler alert: don't!
- How to convert a DataFrame to NumPy array: from 0.24, use
df.to_numpy() - The Right Way to create an empty DataFrame and fill it: Use a list to grow your data, not a DataFrame
- Don't use
inplace=True!
In addition to this, some of my answers that use perfplot are worth a read.
236th awardee of the Legendary badge.
Thanks, Stack Overflow! I love the shirt :-)
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