Re: Python read text file columnwise

2019-01-15 Thread Neil Cerutti
On 2019-01-15, Juris __ wrote: > Hi! > > On 15/01/2019 17:04, Neil Cerutti wrote: >> On 2019-01-11, shibashib...@gmail.com wrote: >>> Hello I'm very new in python. I have a file in the format: 2018-05-31 16:00:0028.90 81.77 4.3 2018-05-31 20:32:002

Re: Python read text file columnwise

2019-01-15 Thread Juris __
Hi! On 15/01/2019 17:04, Neil Cerutti wrote: > On 2019-01-11, shibashib...@gmail.com wrote: >> Hello >>> >>> I'm very new in python. I have a file in the format: >>> >>> 2018-05-31 16:00:0028.90 81.77 4.3 >>> 2018-05-31 20:32:0028.17 84.89 4.1 >>> 2018-06-20 04:09:00

Re: Python read text file columnwise

2019-01-15 Thread Neil Cerutti
On 2019-01-11, shibashib...@gmail.com wrote: > Hello >> >> I'm very new in python. I have a file in the format: >> >> 2018-05-31 16:00:0028.90 81.77 4.3 >> 2018-05-31 20:32:0028.17 84.89 4.1 >> 2018-06-20 04:09:0027.36 88.01 4.8 >> 2018-06-20 04:15:00

RE: Python read text file columnwise

2019-01-14 Thread Schachner, Joseph
d returns the next value. Kind of useful when the alternative is making and passing around huge lists. --- Joseph S. -Original Message- From: DL Neil Sent: Saturday, January 12, 2019 4:48 PM To: python-list@python.org Subject: Re: Python read text file columnwise On 12/01/19 1:03 PM

RE: Python read text file columnwise

2019-01-12 Thread Avi Gross
-Original Message- From: Avi Gross Sent: Saturday, January 12, 2019 8:26 PM To: 'DL Neil' Subject: RE: Python read text file columnwise I am not sure what the big deal is here. If the data is consistently formatted you can read in a string per line and use offsets as i

Re: Python read text file columnwise

2019-01-12 Thread DL Neil
On 12/01/19 1:03 PM, Piet van Oostrum wrote: shibashib...@gmail.com writes: Hello I'm very new in python. I have a file in the format: 2018-05-31 16:00:0028.90 81.77 4.3 2018-05-31 20:32:0028.17 84.89 4.1 2018-06-20 04:09:0027.36 88.01 4.8 2

Silent data corruption in pandas, was Re: Python read text file columnwise

2019-01-12 Thread Peter Otten
Peter Otten wrote: > shibashib...@gmail.com wrote: > >> Hello >>> >>> I'm very new in python. I have a file in the format: >>> >>> 2018-05-31 16:00:0028.90 81.77 4.3 >>> 2018-05-31 20:32:0028.17 84.89 4.1 >>> 2018-06-20 04:09:0027.36 88.01 4.8 >>> 2018-06-

Re: Python read text file columnwise

2019-01-12 Thread Peter Otten
shibashib...@gmail.com wrote: > Hello >> >> I'm very new in python. I have a file in the format: >> >> 2018-05-31 16:00:0028.90 81.77 4.3 >> 2018-05-31 20:32:0028.17 84.89 4.1 >> 2018-06-20 04:09:0027.36 88.01 4.8 >> 2018-06-20 04:15:0027.31

Re: Python read text file columnwise

2019-01-11 Thread Cameron Simpson
On 11Jan2019 12:43, shibashib...@gmail.com wrote: I'm very new in python. I have a file in the format: 2018-05-31 16:00:0028.90 81.77 4.3 2018-05-31 20:32:0028.17 84.89 4.1 2018-06-20 04:09:0027.36 88.01 4.8 2018-06-20 04:15:0027.3

Re: Python read text file columnwise

2019-01-11 Thread Piet van Oostrum
shibashib...@gmail.com writes: > Hello >> >> I'm very new in python. I have a file in the format: >> >> 2018-05-31 16:00:0028.90 81.77 4.3 >> 2018-05-31 20:32:0028.17 84.89 4.1 >> 2018-06-20 04:09:0027.36 88.01 4.8 >> 2018-06-20 04:15:0027.31

Re: Python read text file columnwise

2019-01-11 Thread Rich Shepard
On Fri, 11 Jan 2019, shibashib...@gmail.com wrote: I'm very new in python. I have a file in the format: 2018-05-31 16:00:0028.90 81.77 4.3 2018-05-31 20:32:0028.17 84.89 4.1 2018-06-20 04:09:0027.36 88.01 4.8 2018-06-20 04:15:0027.

Re: Python read text file columnwise

2019-01-11 Thread shibashibani
Hello > > I'm very new in python. I have a file in the format: > > 2018-05-3116:00:0028.90 81.77 4.3 > 2018-05-3120:32:0028.17 84.89 4.1 > 2018-06-2004:09:0027.36 88.01 4.8 > 2018-06-2004:15:0027.31 87.09 4.7 > 2018-06-2804.07:00

Python read text file columnwise

2019-01-11 Thread shibashibani
Hello, I'm very new in python. I have a file in the format: 2018-05-31 16:00:0028.90 81.77 4.3 2018-05-31 20:32:0028.17 84.89 4.1 2018-06-20 04:09:0027.36 88.01 4.8 2018-06-20 04:15:0027.31 87.09 4.7 2018-06-28 04.07:00