I'm struggling to find a simple way to change a frequency of a pd.Series that is grouped on some level of a pd.MultiIndex (so it's a pd.core.groupby.generic.Ser
I am trying to handle daylight saving time (DST) in my code in more automatic way. I want to calculate if difference between current UTC and CET time is one hou
I am exporting data from a CSV file that has two columns. One has time and the other has power. The time columns has the time in two different formats: mm-dd-yy
I have an app on the PlayStore and I am building a feature where the user will not see ads more than a specific number in one day. I am thinking about comparing
I'm trying to make a script to go to a website and enter in a time in a 24 hour format. I'm using the pyautogui module to perform the web tasks, and Datetime/Ti
Sorry i had a lot of trouble explaining my problem in the title but i hope it will be more understandable with this example : i have a data source that tells me
With great shame, I've now spent several hours across multiple days only to continue failing to figure this one out: How can I create a flatpickr onChange event
I have an datafremae like this time_posted 0 5 days ago 1 an hour ago 2 a day ago 3 6 hours ago 4 4 hours ago I tried this df.sort_values(by='time_p
I'm on Laravel project that I didn't start, my problem is when I try to do an insert on laravel. I need to insert a datetime, on Y-m-d h:i:s.v format but when i
Sample Data +---------+------------------------+ | | date | +---------+------------------------+ | 0 | 2020-12-31 00:00:00 |
I have a few large enrolment datasets and I'm trying to create two things: I'd like to flag each uninterrupted monthly observation (final_df1) I'd like to creat
import csv with open('./scrubbed.csv', 'r') as f: reader = csv.reader(f) for row in reader: new_date =dt.datetime.strptime(row[0], '%d/%m/%Y') format_d
I have JSON data which is retrieved from the local realm database. I'm trying to convert it into the corresponding data class. I have an ISO date field { ....
I import a csv file into a pandas dataframe. df=pd.read_csv('data.csv',index_col=[0],header=[0,1]) My data has a column multiindex with two levels. Level(0) co
I created a lambda script just to understand how long a lambda script stores its variable value. Prior to this, my understanding was that it only stores until t
If you could help me understand why: From Cygwin terminal: This is correct: $ date Wed, Sep 2, 2020 11:19:07 PM This is also correct: $ date --utc Wed, Sep 2
This topic has been covered several times but I can't find a solution that applies to SQL Runner, which is the custom query portion of Google's Looker platform.
Be the next Pandas DataFrame: | date | counter | |-------------------------------------|------------------| | 2
I am working with datetime. Is there anyway to get a value of n months before. For example, the data look like: dft = pd.DataFrame( np.random.randn(100, 1),
I'm trying to create a list of time slots for building an appointment-related app. For example, build-time slots from 8 AM TO 10 PM with a 30-minute gap between