From df5c38adac00b363133dd2b2d9a4b2c026ad4903 Mon Sep 17 00:00:00 2001 From: fcf61da24638f93d44cd057b11a6abdc Date: Tue, 9 Dec 2025 18:18:08 +0000 Subject: [PATCH] Added comments --- module2/exo2/exercice.ipynb | 34 +++++++++++++++++++++++++--------- 1 file changed, 25 insertions(+), 9 deletions(-) diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb index 33318ff..3851f12 100644 --- a/module2/exo2/exercice.ipynb +++ b/module2/exo2/exercice.ipynb @@ -6,6 +6,7 @@ "metadata": {}, "outputs": [], "source": [ + "# Import numpy library\n", "import numpy as np" ] }, @@ -15,6 +16,7 @@ "metadata": {}, "outputs": [], "source": [ + "# Create vector of data from exercice\n", "in_data=(14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0)" ] }, @@ -22,6 +24,15 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, + "outputs": [], + "source": [ + "# For all computation all are averaged at 2 digit after \".\" using function round from numpy" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, "outputs": [ { "data": { @@ -29,18 +40,19 @@ "14.11" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# Mean\n", "np.round(np.mean(in_data),2)" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -49,18 +61,19 @@ "2.8" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# Min\n", "np.round(np.min(in_data),2)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -69,18 +82,19 @@ "23.4" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# Max\n", "np.round(np.max(in_data),2)" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -89,18 +103,19 @@ "14.5" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# Median \n", "np.round(np.median(in_data),2)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -109,12 +124,13 @@ "4.33" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# Standard deviation precising the ddof of 1 (not precising gives an other result of 4.31)\n", "np.round(np.std(in_data, ddof=1),2)" ] } -- 2.18.1