how to use pandas to find which flights fly everyday
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I have a csv file with columns: year, month, day and flight number. I need to figure out how to use pandas to find which flights fly everyday.
Note:
- Please do this in Python
Programming - You can make your own csv file and just fill it up. The format is year, month, day, and flight number
- Please show screenshot of your work thank you
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- need to input a .csv file into a my program, once inserted, I need to add up the sums of all the units sold per UNIQUE product ID in the same two-column layout the file started in. (Instead of multiple entries for the same Product Id, just have one with the total units sold) I can get the Sales Data.csv file to output in the console, but I can't figure out how to organize and sum up the dataI need a python program that takes in an element and gives out another element found in the same row. For example, a .csv file contains the image attached. Input: Enter Month Number: (the user will input a number) 9 Output: "The profit from toothpaste during month 9 is 6100."My Python program analyzes data from a CSV file that is all numbers. This program is designed to find the median and standard deviation I'm trying to figure out a part where if the last column of the file contains zeros, it finds where the numbers are in the same row indexes of the other columns. It then calculates the average of these numbers. However, my program calculates them by columns first, not by rows. How could this be fixed? For example, if the last column had a zero and another column had a three in the same row index and another with 4, those numbers would be calculated. # Lucas Conklin# 5772707import csvimport statistics def readCSVIntoDictionary(f_name): data = [] with open(f_name) as f: reader = csv.reader(f) for row in reader: if not data: for index in range(len(row)): data.append([]) for index in range(len(row)): data[index].append(float(row[index])) f.close() return…
- Check the picture for example Python expert needed just to insert flag of country from tkinter import* w=Tk() w.title("North American Countries ") w.configure(bg='#49A') w.geometry('500x400') f1=LabelFrame(w,text="",width=100,highlightbackground='blue') f1.grid(row=0,column=0,padx=20,pady=10,ipadx=20,ipady=10) def fun1(): label1 = Label( w, text=" Ottawa ",padx=100, relief=RAISED ) label1.grid(row=2,column=1) def fun2(): label1 = Label( w, text=" Washington, D.C ",padx=70, relief=RAISED ) label1.grid(row=2,column=1) def fun3(): label1 = Label( w, text=" Mexico City ",padx=70, relief=RAISED ) label1.grid(row=2,column=1) def fun4(): label1 = Label( w, text="",padx=70, relief=RAISED ) label1.grid(row=2,column=1) label1 = Label( w, text="",padx=100, relief=RAISED ) label1.grid(row=2,column=1) ca =Button(f1, text =" Canada ",width=20,command=fun1) ca.grid(row=1,column=1) us =Button(f1, text =" U.S.A ",width=20,command=fun2)…Write the python program using only the import CSV to display the following: Count and display the number of cities per country. Count and display the country which is a member of the EU (EU = yes) and not a member of the EU (EU = no). Find and display the country with the highest and lowest total population. Count and display the country with a coastline (coastline = yes) and without a coastline (coastline = no) https://drive.google.com/file/d/1eDxxA8kHGyQqqCP-3ytQbjtttbm5dUjI/view?usp=sharing NOTE: DON'T USE ANY DIFFERENT MODULE, JUST IMPORT CSVGiven the following code, I need help correcting it to follow these instructions using python (the csv file contains the following info...) Jan 14317 Feb 3903 Mar 1073 Apr 3463 May 2429 Jun 4324 Jul 9762 Aug 15578 Sep 2437 Oct 6735 Nov 88 Dec 2497 #import the csv module for read-writeimport csv #file name for csvFILE_NAME = "monthly_sales.csv" #Show title of editordef display_title(): print("FirstName LastName's Monthly Sales") #space print() #show user menu displaydef display_menu(): print("Command Menu\n\n Monthly - View monthly sales\n yearly - View yearly summary\n edit - Edit sales for a month\n exit - Exit program") """def read_sales():""" #main functiondef main(): sales = [] #write to the csv file with open(FILE_NAME, "r", newline="") as file: reader = csv.reader(file) for row in reader: sales.append(row) #print out the display title and menu and then give user options to choose from…
- Python I have data below (saved in csv file): 1992.9614,-16.27000,1992.9865,-17.97000,1993.0123,-14.87000,1993.0407,-19.87000,1993.0660,-25.27000,1993.0974,-29.37000,... I want to take only 1992 (the year) and ignore the number after the dot ('.'). The main purpose is grouping all data into years and take average of each year. The output should be: 1992 -17.12 1993 -22.35 Appreciate it!!!Write a code (in the most basic Python) which finds the two emissions called PM2.5-Attributable Respiratory Hospitalizations (Adults 20 Yrs and Older) and PM2.5-Attributable Respiratory Hospitalizations (Adults 40 Yrs and Older)within the column ('Name') and prints out which city has the highest value respiratory hospitalizations for both 20 years and older and 40 years and older based on a column called 'Data Value'. The is a csv file called Air_Quality.csv. It has 12 columns and 17,000 rows. One column titled 'Name' which has a various emissions listed in it. Another column titled 'Geo Place Name' has a list of cities. A picture of a chunk of the csv below:USE PYTHON: Convert the following CSV file into bigrams: (YOU MUST IMPORT THE CSV FILE) **pandas has a simple pd.read_csv method to do this** Note: feel free to use any import Example output: [('hi', 'brown'), ('my', 'brown'), ('name', 'brown'), ('is', 'brown'), ('Jeff', 'brown'), ('Wow', 'red'), ('I', 'red'), ('am', 'red'), ........('amazing', 'brown')] demo.csv: words class hi my name is Jeff. brown Wow, I am awesome. red I am a professional. red Will you marry me? red How are you today? brown Today, I woke up with a smile on my face. red My day today has been amazing. brown
- I want a python code to loop through audio files and extract the metadata in terms of the filename and store the metadata in a CSV file.Given two images, one left and one right do the following: 1.Write a program in Python to stitch the two images with openCV together when two computers are connected to two projectors. Include comments in your codeThe grayscale2 function is already written, you just need to write inside it how to convert an image to grayscale using the crude average of RGB: from images import Image def grayscale1(image): """Converts an image to grayscale using the psychologically accurate transformations.""" for y inrange(image.getHeight()): for x inrange(image.getWidth()): (r, g, b) = image.getPixel(x, y) r = int(r * 0.299) g = int(g * 0.587) b = int(b * 0.114) lum = r + g + b image.setPixel(x, y, (lum, lum, lum)) def grayscale2(image): """Converts an image to grayscale using the crude average of the r, g, and b""" pass def main(): filename = input("Enter the image file name: ") image = Image(filename) grayscale2(image) image.draw() if __name__ == "__main__": main()