How to apply numpy.linalg.norm to each row of a matrix?
I have a 2D matrix and I want to take norm of each row. But when I use numpy.linalg.norm(X) directly, it takes the norm of the whole matrix.
python
Unable to install pyodbc on Linux
I am running Linux (2.6.18-164.15.1.el5.centos.plus) and trying to install pyodbc. I am doing pip install pyodbc and get a very long list of errors, which end in
Does Any one got “AttributeError: ‘str’ object has no attribute ‘decode’ ” , while Loading a Keras Saved Model
After Training, I saved Both Keras whole Model and Only Weights using
Converting Hex to RGB value in Python
Working off Jeremy’s response here: Converting hex color to RGB and vice-versa I was able to get a python program to convert preset colour hex codes (example #B4FBB8), however from an end-user perspective we can’t ask people to edit code & run from there. How can one prompt the user to enter a hex value and then have it spit out a RGB value from there?
How to generate random strings in Python?
How do you create a random string in Python?
What exactly does the T and Z mean in timestamp?
I have this timestamp value being return by a web service "2014-09-12T19:34:29Z"
Pandas unstack problems: ValueError: Index contains duplicate entries, cannot reshape
I am trying to unstack a multi-index with pandas and I am keep getting:
pandas.io.json.json_normalize with very nested json
I have been trying to normalize a very nested json file I will later analyze. What I am struggling with is how to go more than one level deep to normalize.
How to copy data from a numpy array to another
What is the fastest way to copy data from array b to array a, without modifying the address of array a. I need this because an external library (PyFFTW) uses a pointer to my array that cannot change.
Shift column in pandas dataframe up by one?
I’ve got a pandas dataframe. I want to ‘lag’ one of my columns. Meaning, for example, shifting the entire column ‘gdp’ up by one, and then removing all the excess data at the bottom of the remaining rows so that all columns are of equal length again.