From 94ad50f54cae79e19eb4aedc2c19d8b7f266ef23 Mon Sep 17 00:00:00 2001 From: budsans Date: Sat, 3 May 2025 11:25:12 -0400 Subject: [PATCH 1/5] Python assignment-one --- 02_activities/assignments/assignment_1.ipynb | 90 ++++++++++++++++---- 1 file changed, 75 insertions(+), 15 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index bd82b6b8b..518ef7cbe 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,13 +56,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# For testing purposes, we will write our code in the function\n", "def anagram_checker(word_a, word_b):\n", - " # Your code here\n", + " return sorted(word_a.lower()) == sorted(word_b.lower())\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" @@ -70,18 +81,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -97,22 +130,49 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "def anagram_checker(word_a, word_b, is_case_sensitive):\n", - " # Modify your existing code here\n", - "\n", + " if not is_case_sensitive:\n", + " str1 = word_a.lower()\n", + " str2 = word_b.lower()\n", + " return sorted(str1) == sorted(str2)\n", + " elif is_case_sensitive:\n", + " return sorted(word_a) == sorted(word_b)\n", + " \n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -130,7 +190,7 @@ ], "metadata": { "kernelspec": { - "display_name": "new-learner", + "display_name": "dsi_participant", "language": "python", "name": "python3" }, @@ -144,7 +204,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.15" } }, "nbformat": 4, From efdc7e1546a5026c48cd3d5eb4dbff68c2f13913 Mon Sep 17 00:00:00 2001 From: budsans Date: Fri, 9 May 2025 16:09:35 -0400 Subject: [PATCH 2/5] Complete assignment-2 --- 02_activities/assignments/assignment_2.ipynb | 117 +++++++++++++++---- 1 file changed, 92 insertions(+), 25 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index b98c21c65..8cbae6c3e 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -79,24 +79,27 @@ "outputs": [], "source": [ "all_paths = [\n", - " \"python/05_src/data/assignment_2_data/inflammation_01.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_02.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_03.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_04.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_05.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_06.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_07.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_08.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_09.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_10.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_11.csv\",\n", - " \"python/05_src/data/assignment_2_data/inflammation_12.csv\"\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_01.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_02.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_03.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_04.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_05.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_06.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_07.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_08.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_09.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_10.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_11.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_12.csv\"\n", "]\n", "\n", "with open(all_paths[0], 'r') as f:\n", " # YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\n", - " \n", - " # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection" + " lines = f.readlines()\n", + "\n", + " # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n", + " for line in lines:\n", + " print(line.strip())" ] }, { @@ -140,17 +143,20 @@ "\n", "def patient_summary(file_path, operation):\n", " data = np.loadtxt(fname=file_path, delimiter=',') # Load the data from the file\n", + " print(data.shape) ## check the dimension of data \n", " ax = 1 # This specifies that the operation should be done for each row (patient)\n", "\n", " # Implement the specific operation based on the 'operation' argument\n", " if operation == 'mean':\n", " # YOUR CODE HERE: Calculate the mean (average) number of flare-ups for each patient\n", - "\n", + " summary_values = np.mean(data, axis=1)\n", " elif operation == 'max':\n", " # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n", + " summary_values = np.max(data, axis=1)\n", "\n", " elif operation == 'min':\n", " # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n", + " summary_values = np.min(data, axis=1)\n", "\n", " else:\n", " # If the operation is not one of the expected values, raise an error\n", @@ -161,16 +167,45 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": { "id": "3TYo0-1SDLrd" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(60, 40)\n", + "60\n", + "[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", + " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", + " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n" + ] + } + ], "source": [ "# Test it out on the data file we read in and make sure the size is what we expect i.e., 60\n", "# Your output for the first file should be 60\n", + "\n", + "all_paths = [\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_01.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_02.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_03.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_04.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_05.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_06.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_07.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_08.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_09.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_10.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_11.csv\",\n", + " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_12.csv\"\n", + "]\n", + "\n", "data_min = patient_summary(all_paths[0], 'min')\n", - "print(len(data_min))" + "print(len(data_min))\n", + "print(data_min)" ] }, { @@ -228,7 +263,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": { "id": "_svDiRkdIwiT" }, @@ -261,19 +296,50 @@ "\n", "def detect_problems(file_path):\n", " #YOUR CODE HERE: Use patient_summary() to get the means and check_zeros() to check for zeros in the means\n", - "\n", - " return" + " data_mean = patient_summary(file_path, 'mean')\n", + "\n", + " check_zeroes_helper = check_zeros(x=data_mean)\n", + "\n", + " if check_zeroes_helper == True:\n", + " print(\"One or more patient in the dataset has an average (mean) inflammation score of 0\")\n", + " elif check_zeroes_helper == False:\n", + " print(\"All good\")\n", + " else:\n", + " print(\"I dont know, what to do.\")\n", + " \n", + " return check_zeroes_helper" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "all good\n", + "False\n", + "One or more patient in the dataset has an average (mean) inflammation score of 0\n", + "True\n", + "One or more patient in the dataset has an average (mean) inflammation score of 0\n", + "True\n", + "One or more patient in the dataset has an average (mean) inflammation score of 0\n", + "True\n", + "all good\n", + "False\n" + ] + } + ], "source": [ "# Test out your code here\n", "# Your output for the first file should be False\n", - "print(detect_problems(all_paths[0]))" + "print(detect_problems(all_paths[0]))\n", + "print(detect_problems(all_paths[2]))\n", + "print(detect_problems(all_paths[7]))\n", + "print(detect_problems(all_paths[10]))\n", + "print(detect_problems(all_paths[11]))\n" ] }, { @@ -314,7 +380,8 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3", + "display_name": "dsi_participant", + "language": "python", "name": "python3" }, "language_info": { @@ -327,7 +394,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.15" } }, "nbformat": 4, From e7d32bd7cbcdd759ae8ee1eebae33c94cef53ab5 Mon Sep 17 00:00:00 2001 From: budsans Date: Mon, 12 May 2025 19:04:07 -0400 Subject: [PATCH 3/5] Revert assignment_1.ipynb to original version from the main branch --- 02_activities/assignments/assignment_1.ipynb | 90 ++++---------------- 1 file changed, 15 insertions(+), 75 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index 518ef7cbe..bd82b6b8b 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,24 +56,13 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# For testing purposes, we will write our code in the function\n", "def anagram_checker(word_a, word_b):\n", - " return sorted(word_a.lower()) == sorted(word_b.lower())\n", + " # Your code here\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" @@ -81,40 +70,18 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -130,49 +97,22 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "def anagram_checker(word_a, word_b, is_case_sensitive):\n", - " if not is_case_sensitive:\n", - " str1 = word_a.lower()\n", - " str2 = word_b.lower()\n", - " return sorted(str1) == sorted(str2)\n", - " elif is_case_sensitive:\n", - " return sorted(word_a) == sorted(word_b)\n", - " \n", + " # Modify your existing code here\n", + "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -190,7 +130,7 @@ ], "metadata": { "kernelspec": { - "display_name": "dsi_participant", + "display_name": "new-learner", "language": "python", "name": "python3" }, @@ -204,7 +144,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.15" + "version": "3.11.8" } }, "nbformat": 4, From 2320d2329c0a8625039d49cbb699bd7a37f15464 Mon Sep 17 00:00:00 2001 From: budsans Date: Thu, 15 May 2025 11:48:52 -0400 Subject: [PATCH 4/5] Correct file paths and remove unnecessary codes in function --assignment-2 --- 02_activities/assignments/assignment_2.ipynb | 137 ++++++++++++------- 1 file changed, 91 insertions(+), 46 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index 8cbae6c3e..5e1e257c5 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -72,25 +72,92 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": { "id": "n0m48JsS-nMC" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0,0,1,3,1,2,4,7,8,3,3,3,10,5,7,4,7,7,12,18,6,13,11,11,7,7,4,6,8,8,4,4,5,7,3,4,2,3,0,0\n", + "0,1,2,1,2,1,3,2,2,6,10,11,5,9,4,4,7,16,8,6,18,4,12,5,12,7,11,5,11,3,3,5,4,4,5,5,1,1,0,1\n", + "0,1,1,3,3,2,6,2,5,9,5,7,4,5,4,15,5,11,9,10,19,14,12,17,7,12,11,7,4,2,10,5,4,2,2,3,2,2,1,1\n", + "0,0,2,0,4,2,2,1,6,7,10,7,9,13,8,8,15,10,10,7,17,4,4,7,6,15,6,4,9,11,3,5,6,3,3,4,2,3,2,1\n", + "0,1,1,3,3,1,3,5,2,4,4,7,6,5,3,10,8,10,6,17,9,14,9,7,13,9,12,6,7,7,9,6,3,2,2,4,2,0,1,1\n", + "0,0,1,2,2,4,2,1,6,4,7,6,6,9,9,15,4,16,18,12,12,5,18,9,5,3,10,3,12,7,8,4,7,3,5,4,4,3,2,1\n", + "0,0,2,2,4,2,2,5,5,8,6,5,11,9,4,13,5,12,10,6,9,17,15,8,9,3,13,7,8,2,8,8,4,2,3,5,4,1,1,1\n", + "0,0,1,2,3,1,2,3,5,3,7,8,8,5,10,9,15,11,18,19,20,8,5,13,15,10,6,10,6,7,4,9,3,5,2,5,3,2,2,1\n", + "0,0,0,3,1,5,6,5,5,8,2,4,11,12,10,11,9,10,17,11,6,16,12,6,8,14,6,13,10,11,4,6,4,7,6,3,2,1,0,0\n", + "0,1,1,2,1,3,5,3,5,8,6,8,12,5,13,6,13,8,16,8,18,15,16,14,12,7,3,8,9,11,2,5,4,5,1,4,1,2,0,0\n", + "0,1,0,0,4,3,3,5,5,4,5,8,7,10,13,3,7,13,15,18,8,15,15,16,11,14,12,4,10,10,4,3,4,5,5,3,3,2,2,1\n", + "0,1,0,0,3,4,2,7,8,5,2,8,11,5,5,8,14,11,6,11,9,16,18,6,12,5,4,3,5,7,8,3,5,4,5,5,4,0,1,1\n", + "0,0,2,1,4,3,6,4,6,7,9,9,3,11,6,12,4,17,13,15,13,12,8,7,4,7,12,9,5,6,5,4,7,3,5,4,2,3,0,1\n", + "0,0,0,0,1,3,1,6,6,5,5,6,3,6,13,3,10,13,9,16,15,9,11,4,6,4,11,11,12,3,5,8,7,4,6,4,1,3,0,0\n", + "0,1,2,1,1,1,4,1,5,2,3,3,10,7,13,5,7,17,6,9,12,13,10,4,12,4,6,7,6,10,8,2,5,1,3,4,2,0,2,0\n", + "0,1,1,0,1,2,4,3,6,4,7,5,5,7,5,10,7,8,18,17,9,8,12,11,11,11,14,6,11,2,10,9,5,6,5,3,4,2,2,0\n", + "0,0,0,0,2,3,6,5,7,4,3,2,10,7,9,11,12,5,12,9,13,19,14,17,5,13,8,11,5,10,9,8,7,5,3,1,4,0,2,1\n", + "0,0,0,1,2,1,4,3,6,7,4,2,12,6,12,4,14,7,8,14,13,19,6,9,12,6,4,13,6,7,2,3,6,5,4,2,3,0,1,0\n", + "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", + "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", + "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", + "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", + "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", + "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", + "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", + "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", + 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"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", + "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", + "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", + "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" + ] + } + ], "source": [ "all_paths = [\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_01.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_02.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_03.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_04.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_05.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_06.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_07.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_08.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_09.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_10.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_11.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_12.csv\"\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_01.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_02.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_03.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_04.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_05.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_06.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_07.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_08.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_09.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_10.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_11.csv\",\n", + " r\"..\\..\\05_src\\data\\assignment_2_data\\inflammation_12.csv\"\n", "]\n", "\n", "with open(all_paths[0], 'r') as f:\n", @@ -133,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": { "id": "82-bk4CBB1w4" }, @@ -167,7 +234,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 12, "metadata": { "id": "3TYo0-1SDLrd" }, @@ -188,21 +255,6 @@ "# Test it out on the data file we read in and make sure the size is what we expect i.e., 60\n", "# Your output for the first file should be 60\n", "\n", - "all_paths = [\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_01.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_02.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_03.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_04.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_05.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_06.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_07.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_08.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_09.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_10.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_11.csv\",\n", - " r\"C:\\Users\\sanjb\\python\\05_src\\data\\assignment_2_data\\inflammation_12.csv\"\n", - "]\n", - "\n", "data_min = patient_summary(all_paths[0], 'min')\n", "print(len(data_min))\n", "print(data_min)" @@ -263,7 +315,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 13, "metadata": { "id": "_svDiRkdIwiT" }, @@ -286,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": { "id": "LEYPM5v4JT0i" }, @@ -299,35 +351,28 @@ " data_mean = patient_summary(file_path, 'mean')\n", "\n", " check_zeroes_helper = check_zeros(x=data_mean)\n", - "\n", - " if check_zeroes_helper == True:\n", - " print(\"One or more patient in the dataset has an average (mean) inflammation score of 0\")\n", - " elif check_zeroes_helper == False:\n", - " print(\"All good\")\n", - " else:\n", - " print(\"I dont know, what to do.\")\n", " \n", " return check_zeroes_helper" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "all good\n", + "(60, 40)\n", "False\n", - "One or more patient in the dataset has an average (mean) inflammation score of 0\n", + "(60, 40)\n", "True\n", - "One or more patient in the dataset has an average (mean) inflammation score of 0\n", + "(60, 40)\n", "True\n", - "One or more patient in the dataset has an average (mean) inflammation score of 0\n", + "(60, 40)\n", "True\n", - "all good\n", + "(60, 40)\n", "False\n" ] } From 35ba08970a1498b5f8443a2758a7a927f3c70d71 Mon Sep 17 00:00:00 2001 From: budsans Date: Sun, 18 May 2025 23:32:30 -0400 Subject: [PATCH 5/5] Remove unnecessary codes --- 02_activities/assignments/assignment_2.ipynb | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index 5e1e257c5..c80fd76a6 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -338,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": { "id": "LEYPM5v4JT0i" }, @@ -352,6 +352,7 @@ "\n", " check_zeroes_helper = check_zeros(x=data_mean)\n", " \n", + " # Remove unnecessary codes \n", " return check_zeroes_helper" ] },