Pandas still getting SettingWithCopyWarning even after using .loc
At first, I tried writing some code that looked like this:
python
Why is Apache-Spark – Python so slow locally as compared to pandas?
A Spark newbie here.
I recently started playing around with Spark on my local machine on two cores by using the command:
Action with pandas SettingWithCopyWarning
I try to delete some column and convert some value in column with
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?
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.