From 2abef73c49937bba58f721b4f7fcb1ff7e045b66 Mon Sep 17 00:00:00 2001 From: SemireB <74829060+SemireB@users.noreply.github.com> Date: Tue, 3 Sep 2024 16:29:08 -0400 Subject: [PATCH 1/2] populated assignment document with my code --- 02_activities/assignments/assignment_1.ipynb | 101 ++++++++++++++----- 1 file changed, 78 insertions(+), 23 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index f9a68ad9b..b1d881287 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -26,10 +26,10 @@ " * Open a private window in your browser. Copy and paste the link to your pull request into the address bar. Make sure you can see your pull request properly. This helps the technical facilitator and learning support staff review your submission easily.\n", "\n", "Checklist:\n", - "- [ ] Created a branch with the correct naming convention.\n", - "- [ ] Ensured that the repository is public.\n", - "- [ ] Reviewed the PR description guidelines and adhered to them.\n", - "- [ ] Verify that the link is accessible in a private browser window.\n", + "- [x] Created a branch with the correct naming convention.\n", + "- [x] Ensured that the repository is public.\n", + "- [x] Reviewed the PR description guidelines and adhered to them.\n", + "- [x] Verify that the link is accessible in a private browser window.\n", "\n", "If you encounter any difficulties or have questions, please don't hesitate to reach out to our team via our Slack at `#cohort-3-help`. Our Technical Facilitators and Learning Support staff are here to help you navigate any challenges." ] @@ -56,32 +56,76 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# This is a function, which we will learn more about next week. 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", + " word_a = word_a.lower() # this part of the function uses the .lower method to make all letters in each string lowercase\n", + " word_b = word_b.lower()\n", + "\n", + " word_a = sorted(word_a) # this part of the function uses the sorted function to return an alphabetical list of the letters in both variables\n", + " word_b = sorted(word_b)\n", + "\n", + " if word_a == word_b: \n", + " return True\n", + " else: \n", + " return False\n", + " \n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -97,24 +141,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True False\n" + ] + } + ], "source": [ "def anagram_checker(word_a, word_b, is_case_sensitive):\n", " # Modify your existing code here\n", "\n", + " if is_case_sensitive is False: \n", + " word_a = word_a.lower() # this part of the function uses the .lower method to make all letters in each string lowercase\n", + " word_b = word_b.lower()\n", + " \n", + " word_a = sorted(word_a) # this part of the function uses the sorted function to return an alphabetical list of the letters in both variables\n", + " word_b = sorted(word_b)\n", + "\n", + " if word_a == word_b: \n", + " return True\n", + " else: \n", + " return False\n", + " \n", "# Run your code to check using the words below:\n", - "anagram_checker(\"Silent\", \"listen\", False) # True" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "anagram_checker(\"Silent\", \"Listen\", True) # False" + "print(anagram_checker(\"Silent\", \"listen\", False), anagram_checker(\"Silent\", \"listen\", True))\n" ] }, { @@ -144,7 +199,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.18" } }, "nbformat": 4, From 86e5c31efd0e2caaf4810406deb343a47fe799f2 Mon Sep 17 00:00:00 2001 From: SemireB <74829060+SemireB@users.noreply.github.com> Date: Sun, 8 Sep 2024 12:51:16 -0400 Subject: [PATCH 2/2] assignment 2 completed --- 02_activities/assignments/assignment_2.ipynb | 142 +++++++++++++++++-- 1 file changed, 131 insertions(+), 11 deletions(-) diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb index 6698fa710..e932a5f68 100644 --- a/02_activities/assignments/assignment_2.ipynb +++ b/02_activities/assignments/assignment_2.ipynb @@ -90,14 +90,106 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "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', 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'6', '1', '1', '2', '1', '2', '1']\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", + "['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", + "['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", + "['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", + "['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", + "['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": [ + "\n", + "all_paths = [\n", + " \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n", + " \"../../05_src/data/assignment_2_data/inflammation_02.csv\",\n", + " \"../../05_src/data/assignment_2_data/inflammation_03.csv\",\n", + " \"../../05_src/data/assignment_2_data/inflammation_04.csv\",\n", + " \"../../05_src/data/assignment_2_data/inflammation_05.csv\",\n", + " \"../../05_src/data/assignment_2_data/inflammation_06.csv\",\n", + " \"../../05_src/data/assignment_2_data/inflammation_07.csv\",\n", + " \"../../05_src/data/assignment_2_data/inflammation_08.csv\",\n", + " \"../../05_src/data/assignment_2_data/inflammation_09.csv\",\n", + " \"../../05_src/data/assignment_2_data/inflammation_10.csv\",\n", + " \"../../05_src/data/assignment_2_data/inflammation_11.csv\",\n", + " \"../../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 'contents'\n", + "\n", + " import csv\n", + "\n", + " contents = csv.reader(f)\n", + " for row in contents:\n", + " print(row)\n", + "\n", + "\n", + " \n", " \n", " # YOUR CODE HERE: Iterate through 'contents' using a for loop and print each row for inspection" ] @@ -133,7 +225,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": { "id": "82-bk4CBB1w4" }, @@ -150,12 +242,19 @@ " if operation == 'mean':\n", " # YOUR CODE HERE: calculate the mean (average) number of flare-ups for each patient\n", "\n", + " summary_values = data.mean (axis = ax) \n", + "\n", + "\n", " elif operation == 'max':\n", " # YOUR CODE HERE: calculate the maximum number of flare-ups experienced by each patient\n", "\n", + " summary_values = data.max (axis = ax)\n", + "\n", " elif operation == 'min':\n", " # YOUR CODE HERE: calculate the minimum number of flare-ups experienced by each patient\n", "\n", + " summary_values = data.min (axis = ax)\n", + "\n", " else:\n", " # if the operation is not one of the expected values, raise an error\n", " raise ValueError(\"Invalid operation. Please choose 'mean', 'max', or 'min'.\")\n", @@ -165,11 +264,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "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", @@ -232,7 +339,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": { "id": "_svDiRkdIwiT" }, @@ -255,7 +362,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": { "id": "LEYPM5v4JT0i" }, @@ -266,14 +373,27 @@ "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", + " has_zeros = check_zeros (data_mean)\n", + " \n", + "\n", + " return has_zeros" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "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", @@ -331,7 +451,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.9.18" } }, "nbformat": 4,