Plotting categorical data with pandas and matplotlib
I have a data frame with categorical data:
python
How to efficiently assign unique ID to individuals with multiple entries based on name in very large df
I’d like to take a dataset with a bunch of different unique individuals, each with multiple entries, and assign each individual a unique id for all of their entries. Here’s an example of the df:
How can I subclass a Pandas DataFrame?
Subclassing Pandas classes seems a common need, but I could not find references on the subject. (It seems that Pandas developers are still working on it: Easier subclassing #60.)
Combining Two Images with OpenCV
I’m trying to use OpenCV 2.1 to combine two images into one, with the two images placed adjacent to each other. In Python, I’m doing:
How would I get everything before a : in a string Python
I am looking for a way to get all of the letters in a string before a : but I have no idea on where to start. Would I use regex? If so how?
What is “thread local storage” in Python, and why do I need it?
In Python specifically, how do variables get shared between threads?
How to install PyQt4 in anaconda?
From the PyQt4 website their instructions for installing the package are to download the tarball and use the config file. I have two versions of Python, one is my normal system and the other is within anaconda. I’m not sure how I get this to install within anaconda. Is there a conda command to install PyQt4?
Keras – Plot training, validation and test set accuracy
I want to plot the output of this simple neural network:
Flask CLI throws ‘OSError: [Errno 8] Exec format error’ when run through docker-compose
I’m running a Flask application with a Custom Script. Or trying to, anyway.
Group by multiple keys and summarize/average values of a list of dictionaries
What is the most pythonic way to group by multiple keys and summarize/average values of a list of dictionaries in Python please? Say I have a list of dictionaries as below: