scipy.stats.cumfreq (a, numbins, defaultreallimits, weights) works using the histogram function and calculates the histogram of the cumulative frequency. It includes cumulative frequency values, width of each element, lower real limit, additional points
arr: strong > [array_like] input array.
numbins: [int] number of bins to use for the histogram. [Default = 10]
defaultlimits: (lower, upper) range of the histogram.
weights: [array_like] weights for each array element.
- cumulative frequency binned values
- width of each bin
- lower real limit
- extra points.
Code # 1:
Output: p >
Array element: [1, 3, 27, 2, 5, 13] cumulative frequency: [4. 5. 5. 6.] Lower Limit: -3.33333333333 bin size: 8.66666666667 extra-points: 0 pre >
Code # 2:
Array element: [1, 3, 27, 2, 5, 13] cumfreqs: [1.6 7.6 7.6 7.7] lowlim: -3.33333333333 binsize: 8.66666666667 extrapoints: 0
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