diff --git a/assignment-1.ipynb b/assignment-1.ipynb new file mode 100644 index 00000000..88e9a65b --- /dev/null +++ b/assignment-1.ipynb @@ -0,0 +1,189 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "def anagram_checker(word_a, word_b):\n", + "\n", + "\n", + " # Check if sorted characters of both strings are equal\\\n", + " if (word_a) != (word_b):\n", + " return True\n", + " else:\n", + " return False" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "anagram_checker(\"Silent\", \"listen\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def anagram_checker(word_a, word_b):\n", + "\n", + "\n", + " # Check if sorted characters of both strings are equal\\\n", + " if (word_a) == (word_b):\n", + " return True\n", + " else:\n", + " return False" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "anagram_checker(\"Silent\", \"Night\")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "def anagram_checker(word_a, word_b):\n", + "\n", + "\n", + " # Check if sorted characters of both strings are equal\\\n", + " if (word_a) != (word_b):\n", + " return True\n", + " else:\n", + " return False" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "anagram_checker(\"night\", \"Thing\")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "def anagram_checker(word_a, word_b, is_case_sensitive):\n", + " # If case sensitivity is False, convert both strings to lower case\n", + " if not is_case_sensitive:\n", + " word_a = word_a.lower()\n", + " word_b = word_b.lower()\n", + " \n", + " # Compare the sorted characters of both strings\n", + " return sorted(word_a) == sorted(word_b)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "anagram_checker(\"Silent\", \"listen\", False)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "anagram_checker(\"Silent\", \"Listen\", True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "dsi_participant", + "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": "3.9.15" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/assignment-2.ipynb b/assignment-2.ipynb new file mode 100644 index 00000000..3332673e --- /dev/null +++ b/assignment-2.ipynb @@ -0,0 +1,300 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + 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"0,0,2,1,2,5,4,2,7,8,4,7,11,9,8,11,15,17,11,12,7,12,7,6,7,4,13,5,7,6,6,9,2,1,1,2,2,0,1,0\n", + "\n", + "0,1,2,0,1,4,3,2,2,7,3,3,12,13,11,13,6,5,9,16,9,19,16,11,8,9,14,12,11,9,6,6,6,1,1,2,4,3,1,1\n", + "\n", + "0,1,1,3,1,4,4,1,8,2,2,3,12,12,10,15,13,6,5,5,18,19,9,6,11,12,7,6,3,6,3,2,4,3,1,5,4,2,2,0\n", + "\n", + "0,0,2,3,2,3,2,6,3,8,7,4,6,6,9,5,12,12,8,5,12,10,16,7,14,12,5,4,6,9,8,5,6,6,1,4,3,0,2,0\n", + "\n", + "0,0,0,3,4,5,1,7,7,8,2,5,12,4,10,14,5,5,17,13,16,15,13,6,12,9,10,3,3,7,4,4,8,2,6,5,1,0,1,0\n", + "\n", + "0,1,1,1,1,3,3,2,6,3,9,7,8,8,4,13,7,14,11,15,14,13,5,13,7,14,9,10,5,11,5,3,5,1,1,4,4,1,2,0\n", + "\n", + "0,1,1,1,2,3,5,3,6,3,7,10,3,8,12,4,12,9,15,5,17,16,5,10,10,15,7,5,3,11,5,5,6,1,1,1,1,0,2,1\n", + "\n", + "0,0,2,1,3,3,2,7,4,4,3,8,12,9,12,9,5,16,8,17,7,11,14,7,13,11,7,12,12,7,8,5,7,2,2,4,1,1,1,0\n", + "\n", + "0,0,1,2,4,2,2,3,5,7,10,5,5,12,3,13,4,13,7,15,9,12,18,14,16,12,3,11,3,2,7,4,8,2,2,1,3,0,1,1\n", + "\n", + "0,0,1,1,1,5,1,5,2,2,4,10,4,8,14,6,15,6,12,15,15,13,7,17,4,5,11,4,8,7,9,4,5,3,2,5,4,3,2,1\n", + "\n", + "0,0,2,2,3,4,6,3,7,6,4,5,8,4,7,7,6,11,12,19,20,18,9,5,4,7,14,8,4,3,7,7,8,3,5,4,1,3,1,0\n", + "\n", + "0,0,0,1,4,4,6,3,8,6,4,10,12,3,3,6,8,7,17,16,14,15,17,4,14,13,4,4,12,11,6,9,5,5,2,5,2,1,0,1\n", + "\n", + "0,1,1,0,3,2,4,6,8,6,2,3,11,3,14,14,12,8,8,16,13,7,6,9,15,7,6,4,10,8,10,4,2,6,5,5,2,3,2,1\n", + "\n", + "0,0,2,3,3,4,5,3,6,7,10,5,10,13,14,3,8,10,9,9,19,15,15,6,8,8,11,5,5,7,3,6,6,4,5,2,2,3,0,0\n", + "\n", + "0,1,2,2,2,3,6,6,6,7,6,3,11,12,13,15,15,10,14,11,11,8,6,12,10,5,12,7,7,11,5,8,5,2,5,5,2,0,2,1\n", + "\n", + "0,0,2,1,3,5,6,7,5,8,9,3,12,10,12,4,12,9,13,10,10,6,10,11,4,15,13,7,3,4,2,9,7,2,4,2,1,2,1,1\n", + "\n", + "0,0,1,2,4,1,5,5,2,3,4,8,8,12,5,15,9,17,7,19,14,18,12,17,14,4,13,13,8,11,5,6,6,2,3,5,2,1,1,1\n", + "\n", + "0,0,0,3,1,3,6,4,3,4,8,3,4,8,3,11,5,7,10,5,15,9,16,17,16,3,8,9,8,3,3,9,5,1,6,5,4,2,2,0\n", + "\n", + "0,1,2,2,2,5,5,1,4,6,3,6,5,9,6,7,4,7,16,7,16,13,9,16,12,6,7,9,10,3,6,4,5,4,6,3,4,3,2,1\n", + "\n", + "0,1,1,2,3,1,5,1,2,2,5,7,6,6,5,10,6,7,17,13,15,16,17,14,4,4,10,10,10,11,9,9,5,4,4,2,1,0,1,0\n", + "\n", + "0,1,0,3,2,4,1,1,5,9,10,7,12,10,9,15,12,13,13,6,19,9,10,6,13,5,13,6,7,2,5,5,2,1,1,1,1,3,0,1\n", + "\n", + "0,1,1,3,1,1,5,5,3,7,2,2,3,12,4,6,8,15,16,16,15,4,14,5,13,10,7,10,6,3,2,3,6,3,3,5,4,3,2,1\n", + "\n", + "0,0,0,2,2,1,3,4,5,5,6,5,5,12,13,5,7,5,11,15,18,7,9,10,14,12,11,9,10,3,2,9,6,2,2,5,3,0,0,1\n", + "\n", + "0,0,1,3,3,1,2,1,8,9,2,8,10,3,8,6,10,13,11,17,19,6,4,11,6,12,7,5,5,4,4,8,2,6,6,4,2,2,0,0\n", + "\n", + "0,1,1,3,4,5,2,1,3,7,9,6,10,5,8,15,11,12,15,6,12,16,6,4,14,3,12,9,6,11,5,8,5,5,6,1,2,1,2,0\n", + "\n", + "0,0,1,3,1,4,3,6,7,8,5,7,11,3,6,11,6,10,6,19,18,14,6,10,7,9,8,5,8,3,10,2,5,1,5,4,2,1,0,1\n", + "\n", + "0,1,1,3,3,4,4,6,3,4,9,9,7,6,8,15,12,15,6,11,6,18,5,14,15,12,9,8,3,6,10,6,8,7,2,5,4,3,1,1\n", + "\n", + "0,1,2,2,4,3,1,4,8,9,5,10,10,3,4,6,7,11,16,6,14,9,11,10,10,7,10,8,8,4,5,8,4,4,5,2,4,1,1,0\n", + "\n", + "0,0,2,3,4,5,4,6,2,9,7,4,9,10,8,11,16,12,15,17,19,10,18,13,15,11,8,4,7,11,6,7,6,5,1,3,1,0,0,0\n", + "\n", + "0,1,1,3,1,4,6,2,8,2,10,3,11,9,13,15,5,15,6,10,10,5,14,15,12,7,4,5,11,4,6,9,5,6,1,1,2,1,2,1\n", + "\n", + "0,0,1,3,2,5,1,2,7,6,6,3,12,9,4,14,4,6,12,9,12,7,11,7,16,8,13,6,7,6,10,7,6,3,1,5,4,3,0,0\n", + "\n", + "0,0,1,2,3,4,5,7,5,4,10,5,12,12,5,4,7,9,18,16,16,10,15,15,10,4,3,7,5,9,4,6,2,4,1,4,2,2,2,1\n", + "\n", + "0,1,2,1,1,3,5,3,6,3,10,10,11,10,13,10,13,6,6,14,5,4,5,5,9,4,12,7,7,4,7,9,3,3,6,3,4,1,2,0\n", + "\n", + "0,1,2,2,3,5,2,4,5,6,8,3,5,4,3,15,15,12,16,7,20,15,12,8,9,6,12,5,8,3,8,5,4,1,3,2,1,3,1,0\n", + "\n", + "0,0,0,2,4,4,5,3,3,3,10,4,4,4,14,11,15,13,10,14,11,17,9,11,11,7,10,12,10,10,10,8,7,5,2,2,4,1,2,1\n", + "\n", + "0,0,2,1,1,4,4,7,2,9,4,10,12,7,6,6,11,12,9,15,15,6,6,13,5,12,9,6,4,7,7,6,5,4,1,4,2,2,2,1\n", + "\n", + "0,1,2,1,1,4,5,4,4,5,9,7,10,3,13,13,8,9,17,16,16,15,12,13,5,12,10,9,11,9,4,5,5,2,2,5,1,0,0,1\n", + "\n", + "0,0,1,3,2,3,6,4,5,7,2,4,11,11,3,8,8,16,5,13,16,5,8,8,6,9,10,10,9,3,3,5,3,5,4,5,3,3,0,1\n", + "\n", + "0,1,1,2,2,5,1,7,4,2,5,5,4,6,6,4,16,11,14,16,14,14,8,17,4,14,13,7,6,3,7,7,5,6,3,4,2,2,1,1\n", + "\n", + "0,1,1,1,4,1,6,4,6,3,6,5,6,4,14,13,13,9,12,19,9,10,15,10,9,10,10,7,5,6,8,6,6,4,3,5,2,1,1,1\n", + "\n", + "0,0,0,1,4,5,6,3,8,7,9,10,8,6,5,12,15,5,10,5,8,13,18,17,14,9,13,4,10,11,10,8,8,6,5,5,2,0,2,0\n", + "\n", + "0,0,1,0,3,2,5,4,8,2,9,3,3,10,12,9,14,11,13,8,6,18,11,9,13,11,8,5,5,2,8,5,3,5,4,1,3,1,1,0\n", + "\n" + ] + } + ], + "source": [ + "# List of file paths\n", + "all_paths = [\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_01.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_02.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_03.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_04.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_05.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_06.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_07.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_08.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_09.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_10.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_11.csv\",\n", + " r\"C:\\Users\\anya8\\python\\05_src\\data\\assignment_2_data\\inflammation_12.csv\"\n", + "]\n", + "\n", + "with open(all_paths[0], 'r') as f:\n", + " # Read the contents of the file\n", + " contents = f.readlines() \n", + " \n", + " # Print the contents of the file\n", + " print(contents)\n", + " \n", + " # Iterate through each row of the contents\n", + " for row in contents:\n", + " print(row)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "def patient_summary(file_path, operation):\n", + " # Load data from the file\n", + " data = np.loadtxt(fname=file_path, delimiter=',')\n", + " ax = 1 # Specifies that the operation is performed across rows (for each patient)\n", + "\n", + " # Perform the operation based on the value of the 'operation' argument\n", + " if operation == 'mean':\n", + " # Calculate the average number of flare-ups for each patient\n", + " summary_values = np.mean(data, axis=ax)\n", + " \n", + " elif operation == 'max':\n", + " # Calculate the maximum number of flare-ups for each patient\n", + " summary_values = np.max(data, axis=ax)\n", + " \n", + " elif operation == 'min':\n", + " # Calculate the minimum number of flare-ups for each patient\n", + " summary_values = np.min(data, axis=ax)\n", + " \n", + " else:\n", + " # Raise an error if the operation is not valid\n", + " raise ValueError(\"Invalid operation. Please choose 'mean', 'max', or 'min'.\")\n", + "\n", + " return summary_values" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "60\n" + ] + } + ], + "source": [ + "# Testing the function on the first file and checking the size of the output\n", + "data_min = patient_summary(all_paths[0], 'min')\n", + "print(len(data_min)) # Expected result: 60" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "# Definition of the check_zeros function\n", + "def check_zeros(x):\n", + " '''\n", + " Given an array, x, check whether any values in x equal 0.\n", + " Return True if any values are found, otherwise return False.\n", + " '''\n", + " flag = np.where(x == 0)[0]\n", + " return len(flag) > 0\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# Definition of the detect_problems function\n", + "def detect_problems(file_path):\n", + " # Get the mean inflammation values for each patient\n", + " means = patient_summary(file_path, 'mean')\n", + " \n", + " # Check if there are any zeros among the mean values\n", + " has_zeros = check_zeros(means)\n", + " \n", + " return has_zeros # Return True if there is at least one 0, otherwise False\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "False\n" + ] + } + ], + "source": [ + "# Example test of the function\n", + "print(detect_problems(all_paths[0])) # Expected result: False" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "dsi_participant", + "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": "3.9.15" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}