How do I write a function that returns mean, median and trimmed mean in python? Question: I am attempting to write a function that will give me an output of mean, median and trimmed mean depending on what is chosen. This is the problem: Suppose x is a vector. Write a function f(x,type) where the …
How to Replace Outliers with Median in Pandas dataframe? Question: Here’s my dataframe: cars_num_df.head(10) mpg cylinders displacement horsepower weight acceleration age 0 18.0 8 307.0 130.0 3504.0 12.0 13 1 15.0 8 350.0 165.0 3693.0 11.5 13 2 18.0 8 318.0 150.0 3436.0 11.0 13 3 16.0 8 304.0 150.0 3433.0 12.0 13 4 17.0 …
Python: Quicksort with median of three Question: I’m trying to change this quicksort code to work with a pivot that takes a “median of three” instead. def quickSort(L, ascending = True): quicksorthelp(L, 0, len(L), ascending) def quicksorthelp(L, low, high, ascending = True): result = 0 if low < high: pivot_location, result = Partition(L, low, high, …
Python Median Filter for 1D numpy array Question: I have a numpy.array with a dimension dim_array. I’m looking forward to obtain a median filter like scipy.signal.medfilt(data, window_len). This in fact doesn’t work with numpy.array may be because the dimension is (dim_array, 1) and not (dim_array, ). How to obtain such filter? Next, another question, how …
How to find median and quantiles using Spark Question: How can I find median of an RDD of integers using a distributed method, IPython, and Spark? The RDD is approximately 700,000 elements and therefore too large to collect and find the median. This question is similar to this question. However, the answer to the question …
Map each list value to its corresponding percentile Question: I’d like to create a function that takes a (sorted) list as its argument and outputs a list containing each element’s corresponding percentile. For example, fn([1,2,3,4,17]) returns [0.0, 0.25, 0.50, 0.75, 1.00]. Can anyone please either: Help me correct my code below? OR Offer a better …
