I need to filter rows in a pandas dataframe so that a specific string column contains at least one of a list of provided substrings. The substrings may have unusual / regex characters. The comparison should not involve regex and is case insensitive.
I would like to get the first item from a list matching a condition. It’s important that the resulting method not process the entire list, which could be quite large. For example, the following function is adequate:
Is there a preferred way to keep the data type of a numpy array fixed as int (or int64 or whatever), while still having an element inside listed as numpy.NaN?
I’m trying to create functions inside of a loop:
I’m writing a log file viewer for a web application and for that I want to paginate through the lines of the log file. The items in the file are line based with the newest item at the bottom.
How do I represent minimum and maximum values for integers in Python? In Java, we have Integer.MIN_VALUE and Integer.MAX_VALUE.
How do I convert a datetime string in local time to a string in UTC time?
I tried the sample provided within the documentation of the requests library for python.
Why is the below item failing? Why does it succeed with “latin-1” codec?
Something about the id of objects of type str (in python 2.7) puzzles me. The str type is immutable, so I would expect that once it is created, it will always have the same id. I believe I don’t phrase myself so well, so instead I’ll post an example of input and output sequence.