This page shows 55 points. 50 of them are placed randomly uniformly on the canvas. The remaining 5 are placed in a "cluster" somewhere on the canvas such that the expected density of the "cluster" is approximately 3 times higher than the density of the background noise. If you double click anywhere within the region that defines the "true" cluster, the cluster dots will turn red and will be ringed in red. If you miss, your "incorrect" guess region will be highlighted in blue.
8one6
8one6
/ Drawdown_cython_mv
Created
January 22, 2014 03:46
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| { | |
| "metadata": { | |
| "name": "Drawdown cython" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "metadata": { | |
| "name": "Drawdown cython" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
8one6
/ drawdowns.ipynb
Created
January 19, 2014 15:36
A review of various functions for computing drawdowns and rolling drawdowns of a given 1-d data structure (numpy array or pandas series).
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This page shows 55 points. 50 of them are placed randomly uniformly on the canvas. The remaining 5 are placed in a "cluster" somewhere on the canvas such that the expected density of the "cluster" is approximately 3 times higher than the density of the background noise. If you double click anywhere within the region that defines the "true" cluster, the cluster dots will turn red and will be ringed in red. If you miss, your "incorrect" guess region will be highlighted in blue.