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How to pip install a package with min and max version range?
I'm wondering if there's any way to tell pip, specifically in a requirements file, to install a package with both a minimum version ( pip install package>=0.2 ) and a maximum version which should never be installed (theoretical api: pip install package<0.3 ).
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Extracting specific columns in numpy array
This is an easy question but say I have an MxN matrix. All I want to do is extract specific columns and store them in another numpy array but I get invalid syntax errors.
Here is the code:
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List of lists changes reflected across sublists unexpectedly
I needed to create a list of lists in Python, so I typed the following:
14 Answers
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Drop rows with all zeros in pandas data frame
I can use pandas dropna() functionality to remove rows with some or all columns set as NA 's. Is there an equivalent function for dropping rows with all columns having value 0?
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Mapping two integers to one, in a unique and deterministic way
Imagine two positive integers A and B. I want to combine these two into a single integer C.
18 Answers
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Pandas groupby: How to get a union of strings
I have a dataframe like this:
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Shortest distance between a point and a line segment
I need a basic function to find the shortest distance between a point and a line segment. Feel free to write the solution in any language you want; I can translate it into what I'm using (Javascript).
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Simple C example of doing an HTTP POST and consuming the response
I would like to create a very simple C application that does an HTTP post. It will take a few parameters, and use these to construct a URL. I'd just like to do a simple HTTP POST and get the response without the use of curl (the libraries are not and will not be installed on the machine this needs...
Multiple linear regression in Python
I can't seem to find any python libraries that do multiple regression. The only things I find only do simple regression. I need to regress my dependent variable (y) against several independent variables (x1, x2, x3, etc.).
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How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly
I have a dataframe with ~300K rows and ~40 columns.
I want to find out if any rows contain null values - and put these 'null'-rows into a separate dataframe so that I could explore them easily.
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