Consider the following code to define the data frame: import pandas as pd df = pd.DataFrame({'state': ['Ohio', 'Ohio', 'Ohio', 'Nevada'], 'year': [2000, 2001, 2002, 2001], 'pop': [1.5, 1.7, 3.6, 2.4]}) How can retrieve the date where pop >=1.7? Select one: a. df[ ['pop'] > 1.7] b. df['pop' > 1.7] c. df[df['pop'] > 1.7] d. select * from df where pop>1.7

Consider the following code to define the data frame: import pandas as pd df = pd.DataFrame({'state': ['Ohio', 'Ohio', 'Ohio', 'Nevada'], 'year': [2000, 2001, 2002, 2001], 'pop': [1.5, 1.7, 3.6, 2.4]}) How can retrieve the date where pop >=1.7? Select one: a. df[ ['pop'] > 1.7] b. df['pop' > 1.7] c. df[df['pop'] > 1.7] d. select * from df where pop>1.7

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

See similar textbooks

Similar questions

Assign letter grades O solutions submitted (max: 1) In the attached spreadsheet, you are given homework grades of 25 students. Sheet 1 (hw1) stores the first homework grades, Sheet 2 (hw2) is the second homework grades and so on. Use either xlsread() or readmatrix() to import the given data into Matlab. Once you have the data in Matlab; 1- Create separate arrays for each homework, name them as hw1, hw2, hw3, hw4, hw5 2- Create an average grade array named hwAvg. Store the average homework grade in hwAvg using the below weights Homework 1, 2: each 15% Homework 3, 4 : 20% Homework 5: 30% 3- Create an array named letterGrade to store letter grades, this will be an array of strings. • 4- Preallocate the letterGrade array. Make sure it has the same length as hwAvg array. 5- Assign letter grades from hwAvg array using the grading policy shown below 100 - 90 : A <90 - 80 : B <80 - 70:C <70 - 60 : D <60 :F It is recommended that you download the file, see what it looks like, figure the steps…
Please answer them in R thank you.
1)Consider the following DTD. All unspecified elements are #PCDATA.<!DOCTYPE bibliography [<!ELEMENT book (title,author+,year,publisher,place?)><!ELEMENT article (title,author+,journal,year,number,volume,pages?)><!ELEMENT author (last_name, first_name)>...]>Write the following queries in XQuery. Assume Last names of authors are unique.(a) List all books authored by Ullman.(b) List articles published in Vol. 32 No. 2 of ACM Transactions on Database Systems.(c) List journals that published an article on XML in 2001 (that is, “XML” appears in the title of thearticle).(d) List authors that have published a book in 2001 and another book in 2003.(e) List publishers, and for each publisher list the books they have published as subelements. Chooseappropriate tags for your output.(f) List every author, and for each author list the number of articles he/she published in 2001. Chooseappropriate tags for your output. i want queries for each every question not a xml code for…
def analyze_file (filename: str, pos_words: List [str], neg_words: List [str]) -> Given the name of a file, a list of positive words (all in lowercase), and a list of negative words (all in lowercase), return some interesting data about the file in a tuple, with the first item in the tuple being the positivity score of the contents of this file, and the rest of the item: being whatever else you end up analyzing. (Helper functions are highly encouraged here.) How to calculate positivity score: For every word that is pos itive in the file (based on the words in the list of positive words) add 1 to the score. For every negative word (based on the list of negative words), subtract 1 from the score. Any neutral words (those that do not appear in either list) do not affect the score in any way. pass
Q1. The last post didnt include the items in the database. Need a different function for the python program display_ticket below: def display_tickets():t = Texttable()tickets=cur.execute('''SELECT * FROM tickets''')for i in tickets:t.add_rows([['tid', 'actual_speed','posted_speed','age','violator_sex'],list(i)])print()print(t.draw())print() Q2. Also need a different function for the python program add_ticket below: def add_tickets():actual_speed=int(input("enter actual speed:"))posted_speed=int(input("enter posted speed:"))age=int(input("enter age:"))sex=input("Male or Female:")cur.execute('''INSERT INTO tickets(actual_speed,posted_speed,age,violator_sex) VALUES(?,?,?,?)''',(actual_speed,posted_speed,age,sex))con.commit() If you'd like to see what thousands of traffic tickets look like, check out this link: https://www.twincities.com/2017/08/11/we-analyzed-224915-minnesota-speeding-tickets-see-what-we-learned/
Here is my entire code(average is not working yet). The response I got from the professor is that I have to create a DRY solution replacing the five display_functions with a single get_array function you call five times like common_array = get_array(plant_xml, "COMMON") etc. from urllib.request import urlopenfrom xml.etree.ElementTree import parse def read_data(data_file): plant_url = urlopen(data_file) plant_xml = parse(plant_url) return plant_xml def display_common_items(plant_xml): plant_root = plant_xml.getroot() common_array = [] for item in plant_root.findall("PLANT"): common_array.append(item.find("COMMON").text) return common_array def display_botanical_items(plant_xml): plant_root = plant_xml.getroot() botanical_array = [] for item in plant_root.findall("PLANT"): botanical_array.append(item.find("BOTANICAL").text) return botanical_array def display_zone_items(plant_xml): plant_root = plant_xml.getroot() zone_array = []…
Evaluate the following functions: 1. prune [[[3],[1,2,4]],[[1,3],[3,4]]] 2. fix prune [[[5],[6,8]],[[7],[7,8]]] 3. blocked [[[3,4],[],[3]],[[1],[1,2],[1]]] 4. expand [[[1,2],[3]],[[4),[1,2]]
Modify the given code to move the string from leftmost side to the rightmost side of the screen (no trails). Given Code: .model small.stack.data strg db 'Mapua$' row db 12 col db 0.codemain proc mov ax,@data mov ds,ax mov ah,6 mov al,0 mov bh,7 mov ch,0 mov cl,0 mov dh,24 mov dl,79 mov cx,40again:push cx mov ah,2 mov bh,0 mov dh,row ;row mov dl,col ;col int 10h mov ah,9 mov dx,offset strg int 21h inc col mov cx,10 push cx mov cx,0ffffhx: loop x pop cx loop y pop cx loop again mov ah,4ch int 21hmain endpend main
The code below creates a table for the outcomes when 4 dice are rolled, and stores them as a DataFrame. Extend the code to print out the number of ways to obtain 15 as the total when 4 dice are rolled simultaneously.
suppose the following are multisets: Find SUT. Find SnT. Find ST. S = {6. a, 3.b, 2.c, 5.d}, T = {2.a, 4.b, 2.c}
In python: student_dict is a dictionary with students' name and pedometer reading pairs. A new student is read from input and added into student_dict. For each student in student_dict, output the student's name, followed by "'s pedometer reading: ", and the student's pedometer reading. Then, assign average_value with the average of all the pedometer readings in student_dict..
Please do 1 and 2