Change: to: This: gives you list with one element. But this: computes the divisions before the multiplication with alpha. You can multiply a list by an integer: but not by a float: since you cannot have partial elements in a list. Parenthesis can be used for grouping in the mathematical calculations:
Try square brackets: i.e.: use an list instead of a set
The rolling mean returns a Series you only have to add it as a new column of your DataFrame (MA) as described below. For information, the rolling_mean function has been deprecated in pandas newer versions. I have used the new method in my example, see below a quote from the pandas documentation. Warning Prior to version 0.18.0, pd.rolling_*, pd.expanding_*, and pd.ewm* were module level functions and are … Read more
I met the same issue with python 3.5.2 and pip3 (9.0.1). And I fixed it by following this workaround: https://github.com/pypa/setuptools/issues/885#issuecomment-307696027 More specifically, I edited line #2121~2122 of this file: “sudo vim /usr/local/lib/python3.5/dist-packages/pip/_vendor/pkg_resources/__init__.py”
If X is your dataframe, try using the .astype method to convert to float when running the model:
A sigma (∑) is a Summation operator. It evaluates a certain expression many times, with slightly different variables, and returns the sum of all those expressions. For example, in the Ballistic coefficient formula The Python implementation would look something like this: You may want to look at the enumerate function, and beware precision problems.
In order to make it work you need to convert key from str to tuple before decryption(ast.literal_eval function). Here is fixed code:
You can multiply numpy arrays by scalars and it just works. This is also a very fast and efficient operation. With your example:
Usually, ajax handler on your server should return XML or JSON (I think JSON is better) with the data it needs. So, after getting info from the handler, dump(cast) it into a JSON object and return to client. On client, JavaScript receives this JSON, and after that should dynamically create html elements and insert them … Read more
The following program calculates nCr in an efficient manner (compared to calculating factorials etc.) As of Python 3.8, binomial coefficients are available in the standard library as math.comb: