datatable
XlsxWriter
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| datatable | XlsxWriter | |
|---|---|---|
| 9 | 11 | |
| 1,790 | 3,491 | |
| 0.8% | - | |
| 6.1 | 7.9 | |
| 5 months ago | 14 days ago | |
| C++ | Python | |
| Mozilla Public License 2.0 | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
datatable
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Cheat Sheets for data.table to Python's pandas syntax?
Aside from that, there is a Python translation of data.table (see documentation here), which might be worth looking into. However, it hasn't had any major updates in a while: the last release 2 years ago ...
- Any advice on using Pandas as a data analyst?
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Alternative to Pandas
There's datatable. I haven't used it much, but the R version (data.table) is phenomenal.
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Need advice on whether to store data set for regression model in SQL database or by using Python modules like Pickle or Parquet
just use HDF5 or Parquet, or CSV + https://github.com/h2oai/datatable to speed up the file reading.
- Massive R analysis of Data Science Language and Job Trends 2022
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Scikit-Learn Version 1.0
> For me I had with pandas the most issues using it's multiindex.
Yessss. I loathe indices, and have never been in a situation where I was better off with them than without them.
> Regarding fast you have something like Vaex on python sid
I've never used Vaex, but I've used datatable (https://github.com/h2oai/datatable) and polars (https://github.com/pola-rs/polars). Polars is my favorite API, but datatable was faster at reading data (Polars was faster in execution). I'll have to give Vaex a try at some point.
- Show HN: Sheet2dict – simple Python XLSX/CSV reader/to dictionary converter
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Hey Reddit, here's my comprehensive course on Python Pandas, for free.
Yep. I think this is the downside to a package being entirely maintained by volunteers. In any case, Pandas is still the leading data wrangling package for Python. (I'm excited to see how datatable evolves.)
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Ditching Excel for Python in a Legacy Industry (Reinsurance)
h2o's data.table clone is fine
https://github.com/h2oai/datatable
XlsxWriter
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Streamlining Data Export to Excel: A comprehensive guide to using Python, Nodejs, PHP.
openpyxl
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Need your thoughts on best way to execute a code that pulls specific data points in pdf and places them into specific spots on an excel sheet
If you must, use xlsxwriter to write it directly into the Excel spreadsheet. This is kind of a pain. If you can get away with, say, writing the data to a CSV and then copy-pasting it into the Excel sheet, you should do that instead because it's so much more conceptually simple and works directly with the Python data structures that you parsed in Step 3. Automation doesn't have to be completely fire-and-forget to save you a ton of time!
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Help Automating Excel & Powerpoint
https://xlsxwriter.readthedocs.io/ is what you are looking for most probably. Try using this library instead of pyplot for the above steps
- Best Excel Library?
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The Best GitHub Repositories For Django Developers.
xlsxwriter…
- Table to Formatted Excel Sheet
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How much time to expect for a Python programmer to learn basic Excel?
I've been in this situation a few times. I would just open the excel sheet in python using xlsxwriter: https://xlsxwriter.readthedocs.io/
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What are you working on? - October 2021
Bam! https://xlsxwriter.readthedocs.io
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Show HN: Sheet2dict – simple Python XLSX/CSV reader/to dictionary converter
For the opposite direction, I have had good luck with the XlsxWriter library
https://github.com/jmcnamara/XlsxWriter
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Excel Never Dies
I'm less familiar with the R ecosystem, but there are tools in the Python world to go that direction -- https://xlsxwriter.readthedocs.io/
What are some alternatives?
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
openpyxl
DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
xlwt
db-benchmark - reproducible benchmark of database-like ops
xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.
scientific-visualization-book - An open access book on scientific visualization using python and matplotlib
pyexcel - Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files
sktime - A unified framework for machine learning with time series
python-docx - Create and modify Word documents with Python
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
ExcelJS - Excel Workbook Manager