How do I read a random line from one file?
Is there a built-in method to do it? If not how can I do this without costing too much overhead?
Python
PySpark logging from the executor
What is the correct way to access the log4j logger of Spark using pyspark on an executor?
Using Numpy stride_tricks to get non-overlapping array blocks
I’m trying to using numpy.lib.stride_tricks.as_strided to iterate over non-overlapping blocks of an array, but I’m having trouble finding documentation of the parameters, so I’ve only been able to get overlapping blocks.
Rename multiple files in Python
How can I rename the following files: abc_2000.jpg abc_2001.jpg abc_2004.jpg abc_2007.jpg into the following ones: year_2000.jpg year_2001.jpg year_2004.jpg year_2007.jpg The related code is: import os import glob files = glob.glob('abc*.jpg') for file in files: os.rename(file, '{}.txt'.format(???)) Answers: Thank you for visiting the Q&A section on Magenaut. Please note that all the answers may not help … Read more
Removing the timestamp from a datetime in pandas dataframe
Scenario: I have a dataframe with multiple columns retrieved from excel worksheets. Some of these columns are dates: some have just the date (yyyy:mm:dd) and some have date and timestamp (yyyy:mm:dd 00.00.000000).
Detect in python which keys are pressed
I need to know which key is being pressed right now. I’m not looking to capture some specific keys to trigger an event or anything like that,
How to safely open/close files in python 2.4
I’m currently writing a small script for use on one of our servers using Python. The server only has Python 2.4.4 installed.
PIL open() method not working with BytesIO
For some reason, when I try to make an image from a BytesIO steam, it can’t identify the image. Here is my code:
Using Python’s max to return two equally large values
I’m using Python’s max function to find the largest integer in a dictionary called count, and the corresponding key (not quite sure if I’m saying it properly; my code probably explains itself better than I’m explaining it). The dictionary count is along the lines of {'a': 100, 'b': 210}, and so on.
Are Decimal ‘dtypes’ available in NumPy?
Are Decimal data type objects (dtypes) available in NumPy?