: import pandas as pd file_path='/Users//Downloads/Data 2/ExampleTrainDataset.csv' filepath2 = '/Users//Downloads/Data data = pd.read_csv(file_path) data2 = pd.read_csv(filepath2) 2/ExampleTestDataset.csv' print(data) print(data2) x1 x2 x3 Y 012345678 2 3.0 2 0 2 3.0 4 0 2 3 9.0 1 0 3 1 0.5 2 0 4 2.0 1 0 5 7 2.0 1 1 3 2.0 5 1 5 2.0 2 1 8 2 4.0 3 1 2 226 11234 9 3 2.0 0 x1 1 1 x2 x3 Y 2 6 3 7 4 3 32243 3 1 0 2 4 0 2 2 1 4 3 31 3 1 1 1

: import pandas as pd file_path='/Users//Downloads/Data 2/ExampleTrainDataset.csv' filepath2 = '/Users//Downloads/Data data = pd.read_csv(file_path) data2 = pd.read_csv(filepath2) 2/ExampleTestDataset.csv' print(data) print(data2) x1 x2 x3 Y 012345678 2 3.0 2 0 2 3.0 4 0 2 3 9.0 1 0 3 1 0.5 2 0 4 2.0 1 0 5 7 2.0 1 1 3 2.0 5 1 5 2.0 2 1 8 2 4.0 3 1 2 226 11234 9 3 2.0 0 x1 1 1 x2 x3 Y 2 6 3 7 4 3 32243 3 1 0 2 4 0 2 2 1 4 3 31 3 1 1 1

Microsoft Visual C#

7th Edition

ISBN:9781337102100

Author:Joyce, Farrell.

Publisher:Joyce, Farrell.

Chapter14: Files And Streams

Section: Chapter Questions

Problem 2CP: In Chapter 11, you created the most recent version of the MarshallsRevenue program, which prompts...

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save_compressed_image: takes a nested list and a filename (string) as input, and saves it in the compressed PGM format to a file with the given filename. If the image matrix given as input is not a valid compressed PGM image matrix, instead raise a AssertionError with an appropriate error message. >>> save_compressed_image([["0x5", "200x2"], ["111x7"]], "test.pgm.compressed") >>> fobj open("test.pgm.compressed", 'r') >>> fobj.read() = 'P2C\\n7_2\\n255\\n0x5 200x2\\n111x7\\n' >>> fobj.close() >>> image [["0x5", "200x2"], ["111x7"]] >>> save_compressed_image(image, "test.pgm") >>> image2 = >>> image True = == load_compressed_image("test.pgm") image2 • save_image: takes a nested list and a filename (string) as input. Checks the type of elements in the list If thou are intogors thon saves the posted list as a PCM imago matrix into a file with the given
Python Panda DataFrme Use this file: names.txt Write a Python script that reads this file into a dataframe. Find the max and min age. Using the loc indexing operator, extract rows 2 & 3 ## Screenshot of names.txt attached
close all; clear all; clc; current_script = mfilename('fullpath'); script_directory = fileparts(current_script);file_name0 = 'data_00.csv'; file_name1 = 'data_01.csv'; file_name2 = 'data_02.csv'; file_name3 = 'data_03.csv'; data0 = csvread([script_directory '\' file_name0]); data1 = csvread([script_directory '\' file_name1]); data2 = csvread([script_directory '\' file_name2]); data3 = csvread([script_directory '\' file_name3]); avg_data = (data1 + data2 + data3) / 3; figure; % plot (data0(:,1), data0(:,2), 'b-', 'LineWidth', 2, 'DisplayName', 'Parabolic Curve');hold on; % plot(avg_data(:, 1), avg_data(:, 2), 'k-', 'Linewidth', 1, 'DisplayName', 'Average Data Points'); plot(smooth_data(:, 1), smooth_data(:, 2), 'k-', 'Linewidth', 1, 'DisplayName', 'Smoothed Data'); scatter(data1(:,1), data1(:,2), 5, 'r', 'filled', 'DisplayName', 'Sample Data Points 1'); scatter(data2(:,1), data2(:,2), 5, 'g', 'filled', 'DisplayName', 'Sample Data Points 2'); scatter(data3(:,1), data3(:,2), 5, 'y',…
from dateutil import parserimport datetimefrom datetime import datetimeusernames = []passwords = [] def reg_user():"""Return for registering new user"""withopen('user.txt', 'a') asfile1: iflogin_username == "admin": new_username = input("Enter a username: ") whilenew_usernameinusernames:print("This username already exists.")new_username = input("Enter a username: ") new_password = input("Enter a password: ")confirm_password = input("Re-enter the password: ")whileconfirm_password != new_password:print("Passwords do not match.")new_password = input("Enter your password: ")confirm_password = input("Re-enter your password: ")else:print("Welcome ", new_username) whilenew_passwordinpasswords:print("This password already exists.")new_password = input("Enter a password: ")confirm_password = input("Re-enter the password: ") else:print("User not authorised to register a new user.")return file1.writelines(f"\n{new_username}, {new_password}") def add_task():"""Return for adding…
Attached File: a2provided: grades = [[71, 14, 41, 87, 49, 93],[66, 73, 54, 55, 94, 79],[20, 51, 77, 20, 86, 15],[79, 63, 72, 57, 63, 73],[30, 66, 78, 65, 41, 45],[11, 83, 51, 47, 68, 63],[99, 43, 85, 86, 24, 75],[67, 102, 11, 84, 64, 109],[16, 24, 101, 78, 55, 89],[100, 26, 37, 95, 106, 100],[55, 77, 30, 34, 28, 15],[87, 67, 13, 71, 67, 83],[95, 65, 94, 56, 15, 92],[102, 23, 36, 39, 60, 39],[90, 59, 96, 105, 83, 16],[101, 40, 17, 12, 44, 36],[39, 63, 96, 12, 65, 82],[95, 20, 105, 34, 69, 95],[95, 93, 75, 18, 105, 102],[35, 15, 82, 106, 73, 30],[80, 52, 67, 49, 11, 88],[86, 17, 44, 75, 78, 49],[22, 60, 74, 110, 92, 37],[13, 14, 15, 82, 75, 57],[71, 106, 15, 77, 30, 98],[43, 80, 76, 85, 102, 53],[26, 98, 60, 80, 104, 79],[12, 28, 40, 106, 88, 84],[82, 75, 101, 29, 51, 75],[20, 31, 84, 35, 19, 85],[84, 63, 56, 101, 83, 102],[25, 106, 36, 24, 61, 80],[86, 75, 89, 47, 28, 27],[38, 48, 22, 72, 53, 83],[70, 34, 46, 86, 32, 58],[83, 59, 38, 16, 94, 104],[62, 110, 13, 12, 13, 83],[90, 59, 55,…
In Chapter 11, you created the most recent version of the MarshallsRevenue program, which prompts the user for customer data for scheduled mural painting. Now, save all the entered data to a file that is closed when data entry is complete and then reopened and read in, allowing the user to view lists of customer orders for mural types.
T/F Q. By default if any regular file is created, the number of link is displayed as 1.
#Fill in comments to spec. import sqlite3from contextlib import closing from Objects import Player, Lineup conn = None def connect():global connif not conn:DB_FILE = "player_db.sqlite"conn = sqlite3.connect(DB_FILE)conn.row_factory = sqlite3.Row def close():if conn:conn.close() def get_players():return None #remove this line when code is added.# SQL statement to select all 7 fields for all players # Use a with statement to execute the query # Create a lineup object# use a loop to populate the lineup object with player objects# return the lineup object def get_player(playerID):return None #remove this line when code is added.# SQL statement to select all 7 fields for a player # Use a with statement to execute the query & return a player object if the player exists def add_player(player):return None #remove this line when code is added.# SQL statement to insert 6 fields for a player added to the table # Use a with statement to execute the query def delete_player(player):return None…
javascript please //20. function initPage//a. Dependencies: getUsers, populateSelectMenu//b. Should be an async function//c. No parameters.//d. Call await getUsers//e. Result is the users JSON data//f. Passes the users JSON data to the populateSelectMenu function//g. Result is the select element returned from populateSelectMenu//h. Return an array with users JSON data from getUsers and the select element//result from populateSelectMenu: [users, select] html <body> <header> <h1>Acme Blogs</h1> <form id="filterForm"> <select id="selectMenu"> <option selected>Employees</option> </select> </form> </header> <main> <p class="default-text">Select an Employee to display their posts.</p> </main> <footer> <p>Acme Company</p> </footer> <div id="mocha" class="testResults"></div>…
Complete the Python program below to display the name of the most recently added dataset and collect the total number of datasets currently listed on the URL provided below. !pip install cssselect from lxml import htmlimport requestsresponse = requests.get('http://catalog.data.gov/dataset?q=&sort=metadata_created+desc')doc = #TO DO -- Complete the Codetitle = #TO DO -- Complete the Codeprint("The name of the most recently added dataset on data.gov:")print(title.strip()) response1 = requests.get('http://www.data.gov/')doc_gov = #TO DO -- Complete the Codelink_gov = #TO DO -- Complete the Codeprint("Number of datasets currently listed on data.gov:")print(link_gov.text) *OUTPUT TEXT: * The name of the most recently added dataset on data.gov: Canterbury, New Zealand 2018 Number of datasets currently listed on data.gov: 224,654 datasets
General Output Find Results 6. Filename: TriangleProblem_FamilyName If a, b and e represcent the three sides of a triangle, then the arca of the triangle is: A = /s + (s – a) + (s – b) * (s – c where: s = “tb+c Also the radius of the largest inscribed circle is given by: r_insc = 4 and the radius of the smallest circumscribed circle is: r_circ =- 2.0 a•b•c 4*A circ _inse Inscribed Circle Circumscribed Circle
Please help me write the following function (please see the attached photos for context of the problem): find_treasure(start_map_num): Takes an integer between 0 and 9 as input. Loads the corresponding map file, and starts following the trail (at position 0, 0 of that file) as described above. Continues following the trail through other map files as needed. Places an 'X' at the conclusion of the trail and saves the updated treasure map to a new file with 'new_' prepended to the current map filename. Returns a tuple of the row and column index where the 'X' was placed in that file.