python-tabulate
DataProfiler
| python-tabulate | DataProfiler | |
|---|---|---|
| 24 | 61 | |
| 1,976 | 1,363 | |
| - | 1.0% | |
| 0.0 | 6.3 | |
| 21 days ago | 6 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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python-tabulate
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I don't always use LaTeX, but when I do, I compile to HTML (2013)
pandas.DataFrame().to_latex() [1] and tabulate [2] support latex table output.
[1] https://pandas.pydata.org/docs/reference/api/pandas.DataFram...
[2] https://github.com/astanin/python-tabulate/blob/master/tabul...
- Access LangChain with ChatGPT right from your CLI
- FLiPN-FLaNK Stack Weekly for 20 March 2023
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Looking for help using the module table2ascii alongside pandas.
pandas uses tabulate
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How can I create a class that will perform an action and return the corresponding table?
As a general piece of advice, the tabulate package is useful for neatly formatting spreadsheet-style data, as is the pandas package, although tabulate is much simpler to use.
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Need help formatting output to use columns
There are ways to do it manually with padding/alignment, but using the built-in csv module to read the file and tabulate to format it is probably the easiest way.
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Is there a better way to print() a table?
If you're not against a third-party library, consider tabulate.
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Cleaning up some of my output.
You mean output to the terminal? You could use a module like tabulate or pandas to do that for you. You could also write a quick function yourself that does the same thing; that would be a fairly easy project. Just transpose the data, calculate the max length in each column, then print row by row while padding to the max length. Probably 8 lines of code.
- how do I make it so that I can print out a list in a formated way
- what is PIP and how do i use it? [ELI5]
DataProfiler
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LongRoPE: Extending LLM Context Window Beyond 2M Tokens
It's been possible to skip tokenization for a long time, my team and I did it here - https://github.com/capitalone/DataProfiler
For what it's worth, we actually were working with LSTMs with nearly a billion params back in 2016-2017 area. Transformers made it far more effective to train and execute, but ultimately LSTMs are able to achieve similar results, though slow & require more training data.
- Data Profiler – What's in your data?
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Data Profiler 0.9.0 -- offering a massive improvement to memory usage during profiling of large datasets
Great call out -- would you be willing to write up an issue for that on the repo? Thank you! https://github.com/capitalone/DataProfiler/issues/new/choose
- FLiPN-FLaNK Stack Weekly for 20 March 2023
- Release 0.8.3 · capitalone/DataProfiler
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