How to check if all elements of a list match a condition?
I have a list consisting of like 20000 lists. I use each list’s 3rd element as a flag. I want to do some operations on this list as long as at least one element’s flag is 0, it’s like:
I have a list consisting of like 20000 lists. I use each list’s 3rd element as a flag. I want to do some operations on this list as long as at least one element’s flag is 0, it’s like:
What is the recommended way of handling settings for local development and the production server? Some of them (like constants, etc) can be changed/accessed in both, but some of them (like paths to static files) need to remain different, and hence should not be overwritten every time the new code is deployed.
What’s the most efficient way to drop only consecutive duplicates in pandas?
I have an array of distances called dists. I want to select dists which are within a range.
I want to add a column in a DataFrame with some arbitrary value (that is the same for each row). I get an error when I use withColumn as follows:
As we all know, there’s list comprehension, like
How does one round a number UP in Python?
What does assert mean? How is it used?
I have a situation very much like the one at Error “ImportError: DLL load failed: %1 is not a valid Win32 application”, but the answer there isn’t working for me.
I’m using Python bindings to OpenCV 2.4 installed with following instructions.