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Quickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet

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When I tried inserting I got an error like so: ``` Traceback (most recent call last): File "results_sql_fasttext.py", line 284, in d6tstack.utils.pd_to_psql(aux_results, URI, 'aux_results', if_exists='append') File "/usr/local/lib/python3.6/dist-packages/d6tcollect/__init__.py", line 58, in...

Any possibility of being able to use d6tstack with 'pg8000'?

I tried to install in a package but I didn't succeed and I can't use it. Would it be possible to create the repo for installation on anaconda?

Hello everybody, great package, but I get a strange error message when I try the mentioned above function with a sqlalchemy engine connected to ODBC. See code below: engine =...

`pd_readsql_table_from_sqlengine` errors due to doing `"SELECT * FROM {};".fromat`, presumably this should be format rather than fromat.

The installation instruction are meant for pip, sadly, pip only queries python 2 only dependencies. I think modifying all instances of pip to pip3 would fix this issue.

Addresses connection leak in #34

Change string.fromat() to string.format()

I have a 200million row dataframe that I've sliced in-memory into chunks of 200,000 to insert gradually. After running `d6tstack.utils.pd_to_psql` for 30 minutes or so (which is the halfway mark),...