[Feature request] allow datetime index

[ZhongSiming]

I have hourly data for 3 years using a datetime as the index. Pandas allows me load/save with the following code (only one month with 2 variables shown): `

Write data to .csv

jan90.to_csv('PEC fine course 1 grid 199001.csv', index=True)

Load data from .csv

jan90 = pd.read_csv('PEC fine course 1 grid 199001.csv', index_col=0, parse_dates=True) ` Using .csv works, but is slow when I get to the full dataset of 26k+ rows and 21.6k+ columns (and more columns may be coming if I have to add lags to my data). So, a more efficient load/save routine is very desirable. I was excited when I found feather, but the lost index is a no-go for my use.

Thanks for your consideration.

[wesm]

Could you open a JIRA issue in Apache Arrow (https://github.com/apache/arrow/blob/master/CONTRIBUTING.md)? That's where we're doing Feather development now.

[ZhongSiming]

Hi Wes, I opened a JIRA issue here: https://issues.apache.org/jira/browse/ARROW-7914?filter=-2

Please let me know if I need to do anything else.

Cheers, Sam

On Wed, Feb 19, 2020 at 2:55 AM Wes McKinney notifications@github.com wrote:

Could you open a JIRA issue in Apache Arrow ( https://github.com/apache/arrow/blob/master/CONTRIBUTING.md)? That's where we're doing Feather development now.

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[wesm]

Thanks