HI,
I'm using Pandas to read my .xls file and I used the command to read it:
df = pd.read_excel(filexcel, parse_dates=[0], dayfirst=True)
and I had the day, month, year and hour correctly
But, if I run the same script inside a virtual environment, I had this
error message:
File "xlst
On Wed, Aug 19, 2020 at 1:43 PM J Conrado wrote:
>
>
> Hi,
>
>
> I'm satarting using Pandas to read excel. I have a meteorological
> synoptic data and I have for date:
>
>
> 0 2017-11-01 00:00:00
> 1 2017-11-01 03:00:00
> 2 2017-11-01 06:00:00
> 3 2017-11-01 09:00:00
> 4 2017-11-01 12:0
what you want?
FootNote:
If money does not grow on trees, then why do banks have branches?
-Original Message-
From: Python-list On Behalf
Of Brian Oney via Python-list
Sent: Wednesday, August 19, 2020 2:01 PM
To: python-list@python.org
Subject: Re: Python Pandas split Date in day month
> I would like know how can I get for this array the values for day, month
> and hour:
>
> 2017-11-01 03:00:00 year = 2017 month = 11day = 1and
> hour = 3
Pandas has a datetime type. You should probably be using it. It's been
awhile (a year at least), but if your datetime co
On August 19, 2020 7:32:45 PM GMT+02:00, J Conrado
wrote:
>
>
>Hi,
>
>
>I'm satarting using Pandas to read excel. I have a meteorological
>synoptic data and I have for date:
>
>
>0 2017-11-01 00:00:00
>1 2017-11-01 03:00:00
>2 2017-11-01 06:00:00
>3 2017-11-01 09:00:00
>4 2017-11-01
Hi,
I'm satarting using Pandas to read excel. I have a meteorological
synoptic data and I have for date:
0 2017-11-01 00:00:00
1 2017-11-01 03:00:00
2 2017-11-01 06:00:00
3 2017-11-01 09:00:00
4 2017-11-01 12:00:00
.. ...
229 2017-11-30 09:00:00
230 2017-11-30 12
J Conrado wrote:
>
>
>
>
>
>
>
>
>
>
>
> HI,
>
>
> I have an excel file with several columns, the first day/month,/year and
> hour:
>
>
> Data
> 01/11/2017 00:00
> 01/11/2017 03:00
> 01/11/2017 06:00
> 01/11/2017 09:00
> 01/11/2017 12:00
> 01/11/2017 15:00
> 01/11/2017 18:00
> 01/11
On 18/07/20 11:06 AM, Dennis Lee Bieber wrote:
On Sat, 18 Jul 2020 09:08:50 +1200, dn via Python-list
declaimed the following:
Assuming the import produces a string, are you able to "slice" the
string into the requisite components?
Given the OP's stated output -- I would suspect they
On 18/07/20 3:36 AM, J Conrado wrote:
HI,
I have an excel file with several columns, the first day/month,/year and
hour:
Data
01/11/2017 00:00
01/11/2017 03:00
...
Please, how can I get four arrays for day, month, year and hour this
column of my excel.
What do you have so-far?
How are y
HI,
I have an excel file with several columns, the first day/month,/year and
hour:
Data
01/11/2017 00:00
01/11/2017 03:00
01/11/2017 06:00
01/11/2017 09:00
01/11/2017 12:00
01/11/2017 15:00
01/11/2017 18:00
01/11/2017 21:00
02/11/2017 00:00
02/11/2017 03:00
02/11/2017 06:00
02/11/
Daiyue Weng wrote:
> Hi, I need to compare the years in a Series. The values in the Series is
> like '1996', '2015', '2006-01-02' or '20130101' etc. The code I created
> is,
>
> col_value_series = pd.to_datetime(col_value_series,
> infer_datetime_format=True) min_year = col_value_series.min().yea
Hi, I need to compare the years in a Series. The values in the Series is
like '1996', '2015', '2006-01-02' or '20130101' etc. The code I created is,
col_value_series = pd.to_datetime(col_value_series, infer_datetime_format=True)
min_year = col_value_series.min().year
max_year = col_value_series.ma
On 16/09/2014 19:08, prashant.mud...@accenture.com wrote:
Hi All,
I am having some problem in python.
I'm sorry that I can't help you directly but as you haven't had any
answers this http://pandas.pydata.org/community.html states "Have a
question about pandas? Your first stop should be Stac
Hi All,
I am having some problem in python.
I have written the code
import pandas as pd
import numpy as np
from scipy.optimize import minimize
pd.set_option('display.mpl_style', 'default')
"""Read the input file into the dataframe""" """T1 file contains the decision
variables, corresponding inve
In article <_dudntfyxdvclhtnnz2dnuvz_ocdn...@giganews.com>,
RueTheDay wrote:
> On Sun, 06 Jan 2013 11:45:34 -0500, Roy Smith wrote:
>
> > In article <_dudnttyxduonxtnnz2dnuvz_ocdn...@giganews.com>,
> > RueTheDay wrote:
> >
> >> On Sun, 06 Jan 2013 08:05:59 -0800, Miki Tebeka wrote:
> >>
> >
On Sun, 06 Jan 2013 11:45:34 -0500, Roy Smith wrote:
> In article <_dudnttyxduonxtnnz2dnuvz_ocdn...@giganews.com>,
> RueTheDay wrote:
>
>> On Sun, 06 Jan 2013 08:05:59 -0800, Miki Tebeka wrote:
>>
>> > On Sunday, January 6, 2013 5:57:17 AM UTC-8, RueTheDay wrote:
>> >> I am getting the followi
In article <_dudnttyxduonxtnnz2dnuvz_ocdn...@giganews.com>,
RueTheDay wrote:
> On Sun, 06 Jan 2013 08:05:59 -0800, Miki Tebeka wrote:
>
> > On Sunday, January 6, 2013 5:57:17 AM UTC-8, RueTheDay wrote:
> >> I am getting the following error when running on Python 2.7 on Ubuntu
> >> 12.04:
> >> >
On Sun, 06 Jan 2013 08:05:59 -0800, Miki Tebeka wrote:
> On Sunday, January 6, 2013 5:57:17 AM UTC-8, RueTheDay wrote:
>> I am getting the following error when running on Python 2.7 on Ubuntu
>> 12.04:
>> >>
>> >>
>> AttributeError: 'Series' object has no attribute 'str'
> I would *guess*
On Sunday, January 6, 2013 5:57:17 AM UTC-8, RueTheDay wrote:
> I am getting the following error when running on Python 2.7 on Ubuntu
> 12.04:
> >>
>
> AttributeError: 'Series' object has no attribute 'str'
I would *guess* that you have an older version of pandas on your Linux machine.
Try "p
I'm working my way through the examples in the O'Reilly book Python For
Data Analysis and have encountered a snag.
The following code is supposed to analyze some web server log data and
produces aggregate counts by client operating system.
###
import json # used to process json
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