Tag: datetime-format

how can i calculate the difference between two dates and times in python

datetime datetime-format python python-datetime timedelta

my code looks like this: listaDivisa looks like this: I want to calculate how much time (better in minutes) the sensor was ON, I tried doing this: but it doesn’t work, another raw alternative I tried was but, not minding about the fact that it doesn’t even work, I don’t think it could be a smart alternative. How could I

How to solve datetime format error “time data %r does not match format %r”?

datetime datetime-format python python-3.x python-datetime

I’m trying to convert a date from string format to a datetime format. I think that I’m using the right format, but the error is still raised. Code example: Error: Answer Your code wasn’t reading the microseconds properly. You can read microseconds with %f Try using this code, this will fix the issue:

How to convert Linux date string to Python Datetime

datetime-format linux python python-3.x python-datetime

I am trying to convert the Linux date time ‘Fri Feb 25 16:07:17 UTC 2022’ to python datetime but not able to achieve the same. However, I am able to do using below code, but still looking for the right approach: Input -> Fri Feb 25 16:07:17 UTC 2022 Output -> ‘2022-02-25 16:07:17’ Answer Output 2022-02-25 16:07:17

Pandas – What datatype should a duration column (mm:ss) be to use aggregates on it?

aggregate datetime-format pandas python

I’m doing some NBA analysis and have a “Minutes Played” column for players in a mm:ss format. What dtype should this column be to perform aggregate functions (mean, min, max, etc…) on it? The df has over 20,000 rows, so here is a sample of the column in question: I ran this code to change the format to datetime –

Using datetime.strptime when data is a little messy : extra spaces, Jan or January

datetime datetime-format python python-datetime

Currently the text I am dealing with are dates with a somewhat standard format, however the data isn’t super clean. For example the text can be in these formats: I’m not quite sure how to deal with this. I want to convert these strings into 2021-01-01 format. My plan was to convert to datetime object, and then convert back to

How to convert datetime object to milliseconds

datetime datetime-format milliseconds pandas python

I am parsing datetime values as follows: How can I convert this datetime objects to milliseconds? I didn’t see mention of milliseconds in the doc of to_datetime. Update (Based on feedback): This is the current version of the code that provides error TypeError: Cannot convert input to Timestamp. The column Date3 must contain milliseconds (as a numeric equivalent of a