Passing datetime64[ns] from pandas’ data frame as an argument to a function

I’m trying to create an additional column in a data frame to show the number of network days (excluding custom holidays) between two dates. I’m using a function to which I’m trying to pass dates from …

Generate list of random datetimes in ISO8601 format in Python

I want to generate a list of length n with random datetime strings in Python within a range. import datetime start = datetime.datetime(2019,1,1,0,0,0).astimezone().replace(microsecond=0).isoformat() …

Can not force stop python script using ctrl + C

Normally to force stop python script that are running, we normal just press Ctrl + C (in Interactive console). In this case, it does not stop, when I press Ctrl + C. Here is my code for this situation:…

How to format a mysql datetime yyyy-mm-dd to dd-mm-yyyy in Python?

My python code retrieves a datetime column from a mySql server database. I can print the datetime as it is stored on the server (ex. 2018-10-22, however I need to print it in a more readable way like …

How to get an extended dataframe with consecutive datetime rows?

I have a pandas dataframe which looks like this: Time 0 2020-11-12 09:00:00+01:00 1 2020-11-12 11:00:00+01:00 2 2020-11-12 13:00:00+01:00 3 2020-11-12 15:00:00+01:00 4 2020-11-12 17:…

Allow two datetime format using raise ValueError python

I have two csv files with two different format which are ‘%m/%d/%Y %H:%M:%S’ and ‘%d/%m/%Y %H:%M:%S’. Hence, I will get such ValueError : ValueError: time data ’14/12/2020 17:43:15′ does not match …

Pandas DateTime for Month

I have month column with values formatted as: 2019M01 To find the seasonality I need this formatted into Pandas DateTime format. How to format 2019M01 into datetime so that I can use it for my …

How to convert dataframe column into UTC datetime format?

I want to convert this Origin column in the dataframe data_copy to UTC datetime format import pandas as pd >>>data_copy[“Origin”] 0 1669-06-04 00:00:00 1 1669-06-22 …

unboundlocalerror while using datetime to create new dataframe

I keep getting an error UnboundLocalError: local variable ‘df’ referenced before assignment for this function: def compare_to_sector(Name, MA): df = df[(df.Date >= str(pd.Timestamp(datetime….

Pandas Grouping by Hostname. Average of Sessions(on host) by Hour

The dataframe looks like this. datetime hostname sessions 0 2020-10-27 00:00:05 server001 22 1 2020-10-27 00:00:10 server001 25 2 2020-10-27 00:00:15 server001 …