Re: How to do pd.read_csv with consecutive spaces or semi-colon as delimiters?

2017-04-18 Thread breamoreboy
On Tuesday, April 18, 2017 at 10:25:51 AM UTC+1, David Shi wrote:
> Any way to do that?
> The link to a sample dataset is as follows:
> http://www.ebi.ac.uk/ena/data/warehouse/search?query=%22geo_circ(-0.587,-90.5713,170)%22=sequence_release=text
> Looking forward to hearing from you.
> Regards.
> David

After less than one minute searching I found 
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html.  
It's the last time I do this for you as your repeated questions show no attempt 
at trying anything for yourself.  You haven't even had the common courtesy to 
respond when I have given you links in response to those questions.

Kindest regards.

Mark Lawrence.
-- 
https://mail.python.org/mailman/listinfo/python-list


Re: How to do pd.read_csv with consecutive spaces or semi-colon as delimiters?

2017-04-18 Thread Peter Otten
David Shi via Python-list wrote:

> Any way to do that?
> The link to a sample dataset is as follows:
> 
http://www.ebi.ac.uk/ena/data/warehouse/search?query=%22geo_circ(-0.587,-90.5713,170)%22=sequence_release=text
> Looking forward to hearing from you.
> Regards.
> David

David, please stop reposting this question here again and and again, with 
only minor variations. The data you are trying to process is not in CSV 
format, so you have to look elsewhere to preprocess it.

If there are tools available in Python to achieve your goal they may be part 
of biopython, or there may be domain experts on the biopython mailing list

http://biopython.org/wiki/Mailing_lists

who know how to proceed. I recommend that you ask there, but with a few more 
details on what you are trying to achieve so that you don't come across as 
lazy and careless as with your above posting.

Thank you, and good luck.

-- 
https://mail.python.org/mailman/listinfo/python-list


How to do pd.read_csv with consecutive spaces or semi-colon as delimiters?

2017-04-18 Thread David Shi via Python-list


Any way to do that?
The link to a sample dataset is as follows:
http://www.ebi.ac.uk/ena/data/warehouse/search?query=%22geo_circ(-0.587,-90.5713,170)%22=sequence_release=text
Looking forward to hearing from you.
Regards.
David
-- 
https://mail.python.org/mailman/listinfo/python-list