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splitting lines of dates and presenting in desired format


splitting lines of dates and presenting in desired format

By : Jose Acevedo
Date : November 21 2020, 03:00 PM
I wish did fix the issue. Try something like this. The problem is PHP doesn't look at formats like yyyy-mm-dd, but rather like Y-m-d'. Which is what thepreg_replace` functions are for.
code :
<?php
$homepage = "2017-09-04, yyyy-mm-dd, mmyyyydd";

$homepage = preg_replace('/yyyy/', 'Y', $homepage, -1);
$homepage = preg_replace('/mm/', 'm', $homepage, -1);
$homepage = preg_replace('/dd/', 'd', $homepage, -1);

$keywords = preg_split("/[\s,]+/", $homepage);

print_r($keywords);
$len = count($keywords);
for ($i = 0; $i < $len; $i += 3) {

  $a = $keywords[$i];
  $b = $keywords[$i + 1];
  $c = $keywords[$i + 2];

  $date = date_create_from_format($b, $a);
  echo $date->format($c);
}
?>


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Exporting mySQL to Excel with Dates in Desired Format

Exporting mySQL to Excel with Dates in Desired Format


By : Anatolii Hanziuk
Date : March 29 2020, 07:55 AM
should help you out Use the MySQL DATE_FORMAT function in your select:
code :
select ....DATE_FORMAT(lastvisit, '%m/%d/%Y') as lastvisit, DATE_FORMAT(ddate, '%m/%d/%Y') as ddate ....
converting dates to a desired format

converting dates to a desired format


By : user2698345
Date : March 29 2020, 07:55 AM
I hope this helps you . You need an if loop to differentiate different date formats. For example, the line const convertedDate=moment(myDate,'MMM/dd/yyyy').format('YYYYDDMMHHmmss'); can be rewritten as
code :
let convertedDate;
if (isNaN(myDate)) {
 convertedDate = moment(myDate,'MMM/dd/yyyy').format('YYYYDDMMHHmmss');
} else {
convertedDate = myDate; // already in YYYYDDMMHHmmss format like date1
}
Unable to convert dates to the desired format

Unable to convert dates to the desired format


By : Sidak
Date : March 29 2020, 07:55 AM
To fix this issue I like using the module dateutil because it internally tries to make an educated guess of the incoming date format:
code :
from dateutil import parser as dateparser

date_time_str = 'Jun 28 2018 7:40AM'
date_time_obj = dateparser.parse(date_time_str)
print(date_time_obj.strftime('%m/%d/%Y'))
How to appear the time (in the desired format too) at the index of a pandas dataframe, when it has only dates?

How to appear the time (in the desired format too) at the index of a pandas dataframe, when it has only dates?


By : user3400558
Date : March 29 2020, 07:55 AM
I wish did fix the issue. I am being challenged by something that should be pretty easy but I do not seem to find a way to solve it. , as far as i understand you want something like this?
code :
import pandas as pd
import numpy as np

dates = ['2019-11-03', '2019-11-04', '2019-11-05', '2019-11-06', '2019-11-07', '2019-11-08', '2019-11-09', '2019-11-10', '2019-11-11', '2019-11-12']
values = [0.15428599999999998, -5.094286, 1.432857, 0.22714299999999998, 0.16, 1.3, 0.308571, 0.44285699999999995, 0.241429, np.nan]

df = pd.DataFrame({'values': values}, index = dates)
df.index.name = 'datetime'
df

Out[1]:

            values
datetime    
2019-11-03  0.154286
2019-11-04  -5.094286
2019-11-05  1.432857
2019-11-06  0.227143
2019-11-07  0.160000
2019-11-08  1.300000
2019-11-09  0.308571
2019-11-10  0.442857
2019-11-11  0.241429
2019-11-12  NaN


df.index = pd.to_datetime(df.reset_index()['datetime']).dt.strftime('%Y-%m-%d %H:%M:%S')
df

Out[2]:

                        value
datetime    
2019-11-03 00:00:00     0.154286
2019-11-04 00:00:00     -5.094286
2019-11-05 00:00:00     1.432857
2019-11-06 00:00:00     0.227143
2019-11-07 00:00:00     0.160000
2019-11-08 00:00:00     1.300000
2019-11-09 00:00:00     0.308571
2019-11-10 00:00:00     0.442857
2019-11-11 00:00:00     0.241429
2019-11-12 00:00:00      NaN
Formatting the dates to desired format return invalid dates in python. How to control it?

Formatting the dates to desired format return invalid dates in python. How to control it?


By : Mike Rief
Date : March 29 2020, 07:55 AM
Hope this helps You can't, at least not with 100 % reliability. If your date formats are this hopelessly mixed, you will never be able to tell if 04/06/2013 is supposed to be April 6th or June 4th.
Your only chance is to take the more common variant and try that first. If that throws an error or returns an implausible date (like one in the future, if those are not permitted), try the next one.
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