Answered: 9. 8 7- 5 4 - 3 2- 1 0.0 0.2 0.4 0.6…

9. 8 7- 5 4 - 3 2- 1 0.0 0.2 0.4 0.6 Select all plottings that can produce the plot as the image above. Assume that we have already did the import: import matplotlib.pyplot as plt

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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import bridges.base.ColorGrid;import bridges.base.Color;public class Scene {/* Creates a Scene with a maximum capacity of Marks andwith a background color.maxMarks: the maximum capacity of MarksbackgroundColor: the background color of this Scene*/public Scene(int maxMarks, Color backgroundColor) {}// returns true if the Scene has no room for additional Marksprivate boolean isFull() {return false;}/* Adds a Mark to this Scene. When drawn, the Markwill appear on top of the background and previously added Marksm: the Mark to add*/public void addMark(Mark m) {if (isFull()) throw new IllegalStateException("No room to add more Marks");}/*Helper method: deletes the Mark at an index.If no Marks have been previously deleted, the methoddeletes the ith Mark that was added (0 based).i: the index*/protected void deleteMark(int i) {}/*Deletes all Marks from this Scene thathave a given Colorc: the Color*/public void deleteMarksByColor(Color c) {}/* draws the Marks in this Scene over a background…
Final help needed for Python Turtle, does my code have everything required, and if not can you help make the changes needed. 1. An additional option to generate another island if the user does not like the one they have (loops until they are satisfied) and have the GUIs bigger.2. Does my code have two or more functions (I dont know if the drawing only counts as one)?3. Does my code have atleast one list, dictionary, or set (if not reorganize/add one)?4. Need help exporting the finished turtle image into a file on desktop (yes/no option input by user) that can be accessed, or png (In ###'s I saved the broken code that i dont know how to fix) My code: import turtleimport randomimport tkinter as tkfrom tkinter import simpledialog### OPTIONAL IMAGE CONVERTER, REMOVE ###'S TO USE###from PIL import Image# Colors:ocean = "#000066"sand = "#ffff66"grass = "#00cc00"lake = "#000066"mountain_color = "#808080" mountain_positions = []def draw_irregular_circle(radius, line_color, fill_color,…
Check what class of data is the (built-in data set) state.center and convert it to data frame. Create a simple data frame from 3 vectors. Order the entire data frame by the first column
For a given text file Visualize the content using common libraries (e.g., term frequency histogram in matplotlib)
what is needed to be solved: Execute the rectangle class with some modifications: - add color ------> setter and getter then upload the source files and screenshoot of the run ////////////////////////////////////////////////////////////////////////////////// this is a header file: /// Specification file for the Rectangle class.#ifndef RECTANGLE_H#define RECTANGLE_H /// Rectangle class declaration. class Rectangle{ private: double width; double length; string color; public: void setWidth(double); void setLength(double); void setColor(string); double getWidth() const; double getLength() const; string getColor() const; double getArea() const;}; #endif ///////////////////////////////////////////////////////////////////////////////////// this is a cpp file: // Implementation file for the Rectangle class.#include "Rectangle.h" // Needed for the Rectangle class#include <iostream> // Needed for cout#include <cstdlib>…
# TODO 1.4 plots = plt.plot(x_values, y_values)
In Dist.txt it will add vaccine in storage like how many vaccines are needed and from where is coming and Add search function in which from user it will check how many vaccines are available in storage this will be done in Vaccine.txt somewhat like in image given #include <stdio.h>#include <stdlib.h>#include <string.h> struct vacc{ char vaccName[15]; char vaccCode[2]; char country[15]; int qty; float population; }v[10]; // Function Declarations void create_inventory(); void update_vacc_qty(); int search_vaccine(); void display_vaccine(); // Main Function starts here int main() { //create_inventory(); //display_vaccine(); //search_vaccine(); update_vacc_qty(); return 0; } //Function to Create Vaccine.txt as per the given table void create_inventory() { int option = 1; // variables to collect data as per table given char vaccName[15]; char vaccCode[2]; char country[15]; int qty; float populaion; //File definition FILE *infile; infile = fopen("Vaccine.txt","w");…
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2. Create xand y vectors to represent the following data: yl/x- x = 15 x = 30 y= 10 2 = 23 33 20 45 55 30 60 70 40 82 92 50 11 121 60 140 150 70 167 177 80 198 198 90 200 210 100 20 230 26 1. Plot both scts of y-z data on the same plot. Add a legend identifying which valuc of x applics to cach data set. 2. Use two-dimensional lincar interpolation to approximate the valuc of : when y= 15 and x 20. 3. Use two-dimensional cubic splinc interpolation to approximate the value of z when y 15 and x = 20. 4. Usc lincar interpolation to create a new subtable for x 20 and x = 25 for all the yvalucs.
Question 6 sm .From a folder that contains 50 images, with each image labeled for a group they belong to {a,b,c}. Plot the histogram of labels and plot an image from each label. Is this dataset imbalanced? Please briefly explain your answer. NOTE: load the image into an array using imageio.imread(). Please write in python Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this line
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# pyspark # picture attached Given a decomposed separable filter: ⎡⎣⎢⎢121⎤⎦⎥⎥ * [−101] ⎣⎢⎡121⎦⎥⎤∗[−101] and part of an image: ⎡⎣⎢⎢115124170656067120100114103898710111075⎤⎦⎥⎥ ⎣⎢⎡115124170656067120100114103898710111075⎦⎥⎤ Apply this filter to an image (to 3 consecutive pixels with stride 1 and no padding). Find $\max(r) - \min(r)$, difference between maximum and minimum values of a filtered image