How to remove nan value while combining two column in Panda Data frame?
I am trying but not able to remove nan while combining two columns of a DataFrame.
I am trying but not able to remove nan while combining two columns of a DataFrame.
I would like to get file path as input in my Python console application.
How can I run a function in Python, at a given time?
I’m a little confused by the ~ operator. Code goes below:
I have a pandas dataframe df as illustrated below:
After I learned how to use einsum, I am now trying to understand how np.tensordot works.
I have a data file containing timestamps like “1331856000000”. Unfortunately, I don’t have a lot of documentation for the format, so I’m not sure how the timestamp is formatted. I’ve tried Python’s standard datetime.fromordinal() and datetime.fromtimestamp() and a few others, but nothing matches. I’m pretty sure that particular number corresponds to the current date (e.g. 2012-3-16), but not much more.
I was answering this question, I preferred generator expression here and used this, which I thought would be faster as generator doesn’t need to create the whole list first:
So I can start from collection[len(collection)-1] and end in collection[0].
How do I learn where the source file for a given Python module is installed? Is the method different on Windows than on Linux?