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A common, beautiful interface to tabular data, no matter the format

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I'm having some trouble converting some tables to XLS since the plugin will not convert `bytes` values automatically. The following code: ```python from collections import OrderedDict import rows table =...

bug
plugin

Running `rows convert file.pdf file.csv` returns the following message: `mupdf: cannot find startxref`. Still, the command is executed and generates the expected .csv file. `rows, version 0.4.2dev0`

Hey, @turicas! This is the traceback of the exception that happened when we tried to `import rows` on Python Sul. ``` Traceback (most recent call last): File "/Users/mrioqueiroz/PycharmProjects/rows_python_sul/venv/lib/python3.7/site-packages/rows/utils.py", line 80,...

[PyExcelerate](https://pypi.org/project/PyExcelerate/) claims to be faster than openpyxl. We could implement more than one backend for each file type and let the user choose (like in PDF implementation).

enhancement
help wanted
plugin

I currently have the following workflow: 1. import csv 2. transform it 3. re-export it back to csv However, I noticed all headers are now using snake_case, which is clearly...

Rows throw an error if the column name is a [python reserved keyword](https://docs.python.org/3.7/reference/lexical_analysis.html#keywords) ```bash (rows) luzfcb@fabio:~/Downloads$ rows csv-to-sqlite domains.csv domains.db [domains.csv -> domains.db#domains] (detecting data types): 0.00 rows [00:00, ?...

Tasks: - [x] (pgimport) Fix `--no-create-table` so we don't need to pass `=true` - [ ] (pgimport) Fix error when quotechar is detected as `'` (the escape does not work)...

enhancement
cli

Sometimes the use of CLI is not possible since we need to use custom fields. It'd awesome to have a way to define custom `Field` classes and pass the related...

cli

Imagine a csv with 200 fields and I just want to import 2 ou 3 fields. Rows could have an option to import just the columns defined on schema parameter....

I have a simple csv with ; as delimiter. rows.import_from_csv("test.csv") works great if I read it from a disk file. But when reading the same file when it is uploaded...