diff --git a/dev/KaairaGupta/evaluation metric/example_visualise_evaluation_metric.ipynb b/dev/KaairaGupta/evaluation metric/example_visualise_evaluation_metric.ipynb new file mode 100644 index 000000000..dfea0edb4 --- /dev/null +++ b/dev/KaairaGupta/evaluation metric/example_visualise_evaluation_metric.ipynb @@ -0,0 +1,172 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Example showing usage of the function `visualise_evaluation_metric` in `visualise_evaluation_metric.py`:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Format of input data:\n", + "[[x1,x2,x3,...,xn],\n", + " [y1,y2,y3,...,yn],\n", + " .\n", + " .\n", + " .\n", + " [y1,y2,y3,...,yn]\n", + "]\n", + "\n", + "Data must be numpy array." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "data1 = [] # (exponential distribution)\n", + "data2 = [] # (normal distribution)\n", + "\n", + "x = []\n", + "\n", + "# n values of x\n", + "n = 10\n", + "\n", + "# create array for x\n", + "x = np.arange(n)\n", + "\n", + "# for each x, k values of y\n", + "k = 20\n", + "\n", + "# adding rows as [x, y1, y2, y3, ...yn] in data1 (exponential distribution)\n", + "for i in range(n):\n", + " r = []\n", + " r.append(x[i])\n", + "\n", + " a = np.random.exponential(scale=1.0, size=k)\n", + " r.extend(a)\n", + "\n", + " data1.append(r)\n", + "\n", + "# adding rows as [x, y1, y2, y3, ...yn] in data2 (normal distribution)\n", + "for i in range(n):\n", + " r = []\n", + " r.append(x[i])\n", + "\n", + " a = np.random.normal(scale=1.0, size=k)\n", + " r.extend(a)\n", + "\n", + " data2.append(r)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import visualise_evaluation_metric as vem\n", + "\n", + "# Exponential Distribution\n", + "vem.visualise_evaluation_metric(data1)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Normal Distribution\n", + "vem.visualise_evaluation_metric(data2)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/dev/KaairaGupta/evaluation metric/visualise_evaluation_metric.py b/dev/KaairaGupta/evaluation metric/visualise_evaluation_metric.py new file mode 100644 index 000000000..e5ab2d71e --- /dev/null +++ b/dev/KaairaGupta/evaluation metric/visualise_evaluation_metric.py @@ -0,0 +1,77 @@ +import matplotlib.pyplot as plt +import numpy as np + + +def visualise_evaluation_metric(table): + + """ + This function plot a metric against the values of some parameter with repeated runs to assess variability. + Input: + table: array with columns (x, y1, y2, ..., yk), i.e. multiple y values for each x. + Output: + Plots showing: + Average y value vs x with the spread of y-values represented by min-max band of y. + Violin plots showing variability of y. + """ + + table = np.array(table) + + x = (table[:, 0]).astype(int) + + ### Plot Mean and Min-Max Band: Begin ### + + _mean = np.empty(len(x)) + _min = np.empty(len(x)) + _max = np.empty(len(x)) + + for i in range(len(table)): + r = table[i] + + _mean[i] = np.mean(r[1:]) + _min[i] = np.min(r[1:]) + _max[i] = np.max(r[1:]) + + # Create a figure instance + fig = plt.figure() + + # Create an axes instance + ax = fig.add_axes([0, 0, 1, 1]) + + ax.plot(x, _mean, label="Mean", linewidth=3, color="g") + ax.plot(x, _min, label="Min", linewidth=0.5, color="y") + ax.plot(x, _max, label="Max", linewidth=0.5, color="r") + ax.fill_between(x, _min, _max, alpha=0.1, label="Min-Max Band") + + # Axes Labels + plt.xlabel("X") + plt.ylabel("Y") + + # Figure Title + fig.suptitle("Mean and Min-Max Band", fontweight="bold") + + plt.legend() + plt.show() + + ### Plot Mean and Min-Max Band: End ### + + ### Violin Plots: Begin ### + + # Create a figure instance + fig = plt.figure() + + # Create an axes instance + ax = fig.add_axes([0, 0, 1, 1]) + + # Create the violin plot + ax.violinplot(table[:, 1:].tolist(), x.tolist(), showmeans=True) + + # Axes Labels + plt.xlabel("X") + plt.ylabel("Y") + + # Figure Title + fig.suptitle("Violin Plots", fontweight="bold") + + plt.show() + + ### Violin Plots: End ###