I wanted to parse just a section of any given log. I just need to start from start_time of my log and end at end_time of my code. The datetime format is “[2021-09-14 21:56:01.768]” So basically suppose I needed to start from “[2021-09-14 21:56:01.768]” part of log and end at “[2021-09-14 21:58:56.608]” and need to parse content between these two,
Tag: datetime
Pandas: Get year to date dates from previous year
I want to compare the dates ranging from January 1st till the current day, from this year versus from last year. example: get the rows with dates ranging from january 1st till november 29th 2020 get the rows with dates ranging from january 1st till november 29th 2021 here is what I have tryed doing, and the only way I
Find max by year and return date on which max occurred in Pandas with dates as index
I have this dataframe I would like to compute the max for each year and the date where it happens. I am struggling because I would like to keep indeed the date as index. Indeed I read it as: I know that I could resample as but in this case I would lose the information about the location of the
how can I strip the 00:00:00 from a date in python
This might be a really simple question, but I’m using the code below to add 1 day to a date and then output the new date. I found this code online. this code works but the output its gives me looks like this but for the rest of my code to run properly I need to get rid of the
Pandas select dataframe rows between multiple date times
Current df: I have the df with Date and a float number. Date is the index and is unique. I would like to create a new df based on the dates found in the next df. I expect to get: In other word I want to filter the initial df and find all rows between all the dates found in
Arranging call data from salesforce in 15 minute intervals
I am new in python and pandas and also in stackoverflow so I apologize for any mistakes I make in advance. I have this dataframe output is and my desired outcome is to have something like in below I have this code from another topic link But it does not take “interval_start” into consideration, I need to check first if
Matplot lib generates Date in X-axis from Jan 1970
I have date index available in the following format: But the following code generates wrong graph: Answer Your dataframe index is likely in the wrong format: str. You can check this with df.info(), if you have something like: If that’s the case, you need to convert index type from str to datetime with: Code example: Without to_datetime conversion: With to_datetime
adding tzinfo for naive datetime cause strange offset?
I’m just trying to add tzinfo for my datetime object (with no specific time). I have date in str format, and timezone in str format. I created this function: all looks fine when I am using tzinfo like: “Etc/GMT-6”: but look at this: Why do I get such a strange values like 03:19, 05:18 when it should be 03:00, -05:00?
Sorting a list of ec2 instances python
I have a python script which prints out a list of ec2 instances as follows : [‘i-06db4eb158ad0bdfd,2021-05-12 12:04:19+00:00,False’, ‘i-0f67cf99fb4536c3f,2020-10-14 13:32:23+00:00,asg-elk-‘, ‘i-0539c8dfc839cbfda,2020-10-26 07:38:01+00:00,asg-standalone’, ‘i-0f285277529543462,2018-05-18 16:47:00+00:00,False’, ‘i-0d649cebdf54bd2f4,2020-03-12 10:07:07+00:00,asg-ddf’, ‘i-01734dfef0159c5c8,2020-10-20 13:05:27+00:00,asg-pro’, ‘i-0ff596f1dc01b61d8,2021-03-17 11:21:21+00:00,asg-base-test’] I want to be able to sort the list out based on CreationDateTime. I have used the python built-in function sorted() but that doesn’t seem to be giving me the
How to plot a Rainfall & Waterflow chart in Python?
I’m trying to plot a rainfall & water flow chart as below: Generate Sample Data Plotting I’m able to plot the top part, not sure how to invert or mirror the line chart. How to plot a Rainfall & Waterflow chart as above? Answer In order to create the second plot you have to use a subplot: For the second