From 69ba4fed82c3db7dfc6e600866dee1550ef8ee5c Mon Sep 17 00:00:00 2001 From: smodi23 Date: Sat, 3 May 2025 10:09:58 -0400 Subject: [PATCH 1/5] try 1 --- 02_activities/assignments/assignment_1.ipynb | 97 +++++++++++++++++--- 1 file changed, 82 insertions(+), 15 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index bd82b6b8b..841841a5a 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,32 +56,71 @@ }, { "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", "\n", + "def anagram_checker(word_a, word_b):\n", + " if sorted(word_a.lower()) == sorted(word_b.lower()):\n", + " return True\n", + " else:\n", + " return False\n", + "\n", + "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" ] }, { "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\")" ] @@ -97,12 +136,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "def anagram_checker(word_a, word_b, is_case_sensitive):\n", - " # Modify your existing code here\n", + "def anagram_checker(word_a, word_b, is_case_sensitive=False):\n", + " # Normalize case if not case sensitive\n", + " if not is_case_sensitive:\n", + " word_a = word_a.lower()\n", + " word_b = word_b.lower()\n", + "\n", + " # Sort and compare\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" @@ -110,9 +166,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -130,7 +197,7 @@ ], "metadata": { "kernelspec": { - "display_name": "new-learner", + "display_name": "dsi_participant", "language": "python", "name": "python3" }, @@ -144,7 +211,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.15" } }, "nbformat": 4, From 283740245f9fb019281bd22da49939056dc1e7d9 Mon Sep 17 00:00:00 2001 From: smodi23 Date: Sat, 10 May 2025 10:15:30 -0400 Subject: [PATCH 2/5] try 1 --- 02_activities/assignments/assignment_2.ipynb | 144 +++++++++++++++---- 1 file changed, 118 insertions(+), 26 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index b98c21c65..d5a178098 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -72,31 +72,101 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": { "id": 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"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", - " \"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\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_01.csv\",\n", + " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_02.csv\",\n", + " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_03.csv\",\n", + " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_04.csv\",\n", + " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_05.csv\",\n", + " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_06.csv\",\n", + " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_07.csv\",\n", + " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_08.csv\",\n", + " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_09.csv\",\n", + " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_10.csv\",\n", + " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_11.csv\",\n", + " r\"/users/sahil/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())" ] }, { @@ -130,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { "id": "82-bk4CBB1w4" }, @@ -145,12 +215,15 @@ " # 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", + " summary_values = np.mean(data, axis=ax)\n", "\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=ax)\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=ax)\n", "\n", " else:\n", " # If the operation is not one of the expected values, raise an error\n", @@ -161,11 +234,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": { "id": "3TYo0-1SDLrd" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "60\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", @@ -228,7 +309,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": { "id": "_svDiRkdIwiT" }, @@ -251,7 +332,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": { "id": "LEYPM5v4JT0i" }, @@ -261,15 +342,25 @@ "\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", + " means = patient_summary(file_path, 'mean')\n", + " has_zeros = check_zeros(means)\n", "\n", - " return" + " return has_zeros" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "False\n" + ] + } + ], "source": [ "# Test out your code here\n", "# Your output for the first file should be False\n", @@ -314,7 +405,8 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3", + "display_name": "dsi_participant", + "language": "python", "name": "python3" }, "language_info": { @@ -327,7 +419,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.15" } }, "nbformat": 4, From 951d99b6f5824906abbf3b6f8ccd3b06b5557ad2 Mon Sep 17 00:00:00 2001 From: smodi23 Date: Wed, 14 May 2025 19:57:41 -0400 Subject: [PATCH 3/5] Revert assignment_1.ipynb to original version from the main branch --- 02_activities/assignments/assignment_1.ipynb | 97 +++----------------- 1 file changed, 15 insertions(+), 82 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index 841841a5a..bd82b6b8b 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,30 +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", - " # Your code here\n", - "\n", "def anagram_checker(word_a, word_b):\n", - " if sorted(word_a.lower()) == sorted(word_b.lower()):\n", - " return True\n", - " else:\n", - " return False\n", - "\n", + " # Your code here\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" @@ -87,40 +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\")" ] @@ -136,29 +97,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "def anagram_checker(word_a, word_b, is_case_sensitive=False):\n", - " # Normalize case if not case sensitive\n", - " if not is_case_sensitive:\n", - " word_a = word_a.lower()\n", - " word_b = word_b.lower()\n", - "\n", - " # Sort and compare\n", - " return sorted(word_a) == sorted(word_b)\n", + "def anagram_checker(word_a, word_b, is_case_sensitive):\n", + " # Modify your existing code here\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -166,20 +110,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -197,7 +130,7 @@ ], "metadata": { "kernelspec": { - "display_name": "dsi_participant", + "display_name": "new-learner", "language": "python", "name": "python3" }, @@ -211,7 +144,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.15" + "version": "3.11.8" } }, "nbformat": 4, From 38bbe6b4dab5aad19200a1427f64d2fc7c0f74a7 Mon Sep 17 00:00:00 2001 From: smodi23 Date: Wed, 14 May 2025 20:01:00 -0400 Subject: [PATCH 4/5] attempt 2 with changes as requested --- 02_activities/assignments/assignment_2.ipynb | 98 +++++--------------- 1 file changed, 22 insertions(+), 76 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index d5a178098..e79081182 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -72,92 +72,38 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 1, "metadata": { "id": "n0m48JsS-nMC" }, "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", - 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"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" + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: '../../python/05_src/data/assignment_2_data/inflammation_01.csv'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[1], line 16\u001b[0m\n\u001b[0;32m 1\u001b[0m all_paths \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m 2\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../../python/05_src/data/assignment_2_data/inflammation_01.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 3\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../../python/05_src/data/assignment_2_data/inflammation_02.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../../python/05_src/data/assignment_2_data/inflammation_12.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 14\u001b[0m ]\n\u001b[1;32m---> 16\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mall_paths\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m 17\u001b[0m \u001b[38;5;66;03m# YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\u001b[39;00m\n\u001b[0;32m 18\u001b[0m lines \u001b[38;5;241m=\u001b[39m f\u001b[38;5;241m.\u001b[39mreadlines()\n\u001b[0;32m 20\u001b[0m \u001b[38;5;66;03m# YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\sahil\\miniconda3\\envs\\dsi_participant\\lib\\site-packages\\IPython\\core\\interactiveshell.py:310\u001b[0m, in \u001b[0;36m_modified_open\u001b[1;34m(file, *args, **kwargs)\u001b[0m\n\u001b[0;32m 303\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[0;32m 304\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m 305\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 306\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 307\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 308\u001b[0m )\n\u001b[1;32m--> 310\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m io_open(file, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../../python/05_src/data/assignment_2_data/inflammation_01.csv'" ] } ], "source": [ "all_paths = [\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_01.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_02.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_03.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_04.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_05.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_06.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_07.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_08.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_09.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_10.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_11.csv\",\n", - " r\"/users/sahil/python/05_src/data/assignment_2_data/inflammation_12.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_01.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_02.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_03.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_04.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_05.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_06.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_07.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_08.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_09.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_10.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_11.csv\",\n", + " r\"../../python/05_src/data/assignment_2_data/inflammation_12.csv\",\n", "]\n", "\n", "with open(all_paths[0], 'r') as f:\n", From ba838f85bb8641c499a383f0f435852161cebdf3 Mon Sep 17 00:00:00 2001 From: smodi23 Date: Thu, 15 May 2025 18:04:00 -0400 Subject: [PATCH 5/5] attempt 3 with changes --- 02_activities/assignments/assignment_2.ipynb | 106 ++++++++++++++----- 1 file changed, 80 insertions(+), 26 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index e79081182..969036a7f 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -78,32 +78,86 @@ }, "outputs": [ { - "ename": "FileNotFoundError", - "evalue": "[Errno 2] No such file or directory: '../../python/05_src/data/assignment_2_data/inflammation_01.csv'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[1], line 16\u001b[0m\n\u001b[0;32m 1\u001b[0m all_paths \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m 2\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../../python/05_src/data/assignment_2_data/inflammation_01.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 3\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../../python/05_src/data/assignment_2_data/inflammation_02.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../../python/05_src/data/assignment_2_data/inflammation_12.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 14\u001b[0m ]\n\u001b[1;32m---> 16\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mall_paths\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m 17\u001b[0m \u001b[38;5;66;03m# YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\u001b[39;00m\n\u001b[0;32m 18\u001b[0m lines \u001b[38;5;241m=\u001b[39m f\u001b[38;5;241m.\u001b[39mreadlines()\n\u001b[0;32m 20\u001b[0m \u001b[38;5;66;03m# YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\sahil\\miniconda3\\envs\\dsi_participant\\lib\\site-packages\\IPython\\core\\interactiveshell.py:310\u001b[0m, in \u001b[0;36m_modified_open\u001b[1;34m(file, *args, **kwargs)\u001b[0m\n\u001b[0;32m 303\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[0;32m 304\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m 305\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 306\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 307\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 308\u001b[0m )\n\u001b[1;32m--> 310\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m io_open(file, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../../python/05_src/data/assignment_2_data/inflammation_01.csv'" + "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", + 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"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", + "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", + "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", + "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\"../../python/05_src/data/assignment_2_data/inflammation_01.csv\",\n", - " r\"../../python/05_src/data/assignment_2_data/inflammation_02.csv\",\n", - " r\"../../python/05_src/data/assignment_2_data/inflammation_03.csv\",\n", - " r\"../../python/05_src/data/assignment_2_data/inflammation_04.csv\",\n", - " r\"../../python/05_src/data/assignment_2_data/inflammation_05.csv\",\n", - " r\"../../python/05_src/data/assignment_2_data/inflammation_06.csv\",\n", - " r\"../../python/05_src/data/assignment_2_data/inflammation_07.csv\",\n", - " r\"../../python/05_src/data/assignment_2_data/inflammation_08.csv\",\n", - " r\"../../python/05_src/data/assignment_2_data/inflammation_09.csv\",\n", - " r\"../../python/05_src/data/assignment_2_data/inflammation_10.csv\",\n", - " r\"../../python/05_src/data/assignment_2_data/inflammation_11.csv\",\n", - " r\"../../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", @@ -146,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "metadata": { "id": "82-bk4CBB1w4" }, @@ -180,7 +234,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "metadata": { "id": "3TYo0-1SDLrd" }, @@ -255,7 +309,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "metadata": { "id": "_svDiRkdIwiT" }, @@ -278,7 +332,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": { "id": "LEYPM5v4JT0i" }, @@ -296,7 +350,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "metadata": {}, "outputs": [ {