Python: From the following data: https://raw.githubusercontent.com/arleserp/MinTIC2022/master/files/SalesJan2009.csv (The link only has information) I ned help loading the data using pandas (python) and answering the following questions: 1. Provide all the data for the first 5 rows of the file.
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Python: From the following data: https://raw.githubusercontent.com/arleserp/MinTIC2022/master/files/SalesJan2009.csv
(The link only has information)
I ned help loading the data using pandas (python) and answering the following questions:
1. Provide all the data for the first 5 rows of the file.
Step by step
Solved in 3 steps with 1 images
- Python Pandas: Suppose I have a file with columns I want to specify the spacing so that there are 5 spaces between the columns, how do I do this? file1 12 12.3 9.3 23 3.5 45.6 34 6.1 88.9Please Program in python and leave comments to help explain here is the google drive with the Test.xlsm file: https://drive.google.com/drive/folders/16utzb5_h7yMCN8_13E_JqasfcpykZOYr?usp=sharing The objective is to create a code in Python that can extract the columns highlighted in blue and output them to a .txt file. The code should be able to generate the text file with the columns that are highlighted in blue and store them on a seperate folder. Below shows how the Test.xlsm file looks like as well as how the text file should look like when the code extracts and outputs it.Please Program in python and leave comments to help explain here is the google drive with the Test.xlsm file: https://drive.google.com/drive/folders/16utzb5_h7yMCN8_13E_JqasfcpykZOYr?usp=sharing The objective is to create a code in Python that can extract the columns highlighted in blue and output them to a .txt file. The code should be able to generate the text file with the columns that are highlighted in blue and store them on a seperate folder. Below shows how the Test.xlsm file looks like as well as how the text file should look like when the code extracts and outputs it. The attached images is how we want to format the text file when/after extracting the columns highlighted in blue. The code should name the output text file according to the sheet name " Correct-L.txt " and its header should contain " Band Group Number Time " just so we know where it begins or when the next column is.
- How would I open a file and encrypt that file from a dictionary in Python? Attached is a picture of my current code. I am currently stuck at the getFiles() and convert(inputFile, outputFile) functions.Create a new SCRIPT file called additup.m, inside this file, a) Use a for loop to sum the elements in the following vector: X=[1,23,43,72,87,56,98,33] b) Check your answer with the sum function. c) Solve the problem a third time, this time using a while loop.I have the following code but with the input file studentInfo.txt that has the input: ed18, Edward Duran, 077, 3.5 abc1234MikePeterson, 123, 3.7dw0,Danika Wilson, 083 , 3.9wd50,WillDavidson, 090,3hpj4332, Helen Jordan1983.88xd222XavierDavies1983.65ah1 Allisson Henson 147 2.9ne099 NinaEstrada, 095, 2sh5555 Skylar Huff 112 3.3 def reformat_student_info(filename): try: #Function to split the name into first and last parts def split_name(name): parts = name.split() if len(parts) == 2: return parts else: #If no space assume last name starts after first letter return [parts[0], parts[1:]] #Function to format GPA def format_gpa(gpa): #Ensure exactly one decimal point if '.' not in gpa: gpa = gpa + '.0' return gpa #Open input file with open(filename, 'r') as input_file: lines =…
- Python- Write a script that uses the hashlib module to hash a user entered password and then write the hashed password to a file. Use the input function to prompt the user for the password Hash the password using the hashlib md5 function. Use utf-8 encoding. Include the new line (\n) character when you write the hashed password to the file.[Python (py3)] Please fix my code below so that the output will be printed to output.txt. Attached is the screenshot of file1.txt --------------------------------------------------------------------------- import numpy as np import sys f1 = open("file1.txt","r") lines = f1.readlines() dim = lines[1].split() k=2 mat1 = np.empty((0,int(dim[0])), int) for i in range(0,int(dim[0])): l = lines[k].split() l = list(map(int, l)) ls = np.array([l]) k += 1 mat1 = np.append(mat1, ls, axis=0) dim2 = lines[k].split() k += 1 if dim != dim2: sys.exit("Matrix addition cannot be performed; dimensions are unequal.") mat2 = np.empty((0,int(dim2[0])), int) for i in range(0,int(dim2[0])): l = lines[k].split() l = list(map(int, l)) ls = np.array([l]) k += 1 mat2 = np.append(mat2, ls, axis=0) print(np.add(mat1,mat2)) f2 = open("output.txt","w") s = np.add(mat1,mat2) f2.writelines(str(s))A file contains only spaces, commas, colons, digits, and newlines in the following frequencies: colon (100), space (605), newline (100), comma (705), 0 (431), 1 (242), 2 (176), 3 (59), 4 (185), 5 (250), 6 (174), 7 (199), 8 (205), 9 (217). Construct Huffman code.
- use PYTHON Even though Windows and macOS sometimes hide them, most files have file extensionsLinks to an external site., a suffix that starts with a period (.) at the end of their name. For instance, file names for GIFsLinks to an external site. end with .gif, and file names for JPEGsLinks to an external site. end with .jpg or .jpeg. When you double-click on a file to open it, your computer uses its file extension to determine which program to launch. Web browsers, by contrast, rely on media typesLinks to an external site., formerly known as MIME types, to determine how to display files that live on the web. When you download a file from a web server, that server sends an HTTP headerLinks to an external site., along with the file itself, indicating the file’s media type. For instance, the media type for a GIF is image/gif, and the media type for a JPEG is image/jpeg. To determine the media type for a file, a web server typically looks at the file’s extension, mapping one to the other.…Fix the main file errorsPYTHON I have a file name KindOfNumbers.csv In that csv file there are these numbers: 2, 3, 6, 8, 9, 13, 16, 15, 28, 97, 64, 67, 59, 100, 128, 496, 386 893 4567, 843, 894, 935, 974, 863, 991. In PYTHON, After reading the data from the csv file, CREATE THE FOLLOWING LISTS FROM GIVEN NUMBERS: _PRIME NUMBERS _PERFECT NUMBERS _ODD NUMBERS _EVEN NUMBERS ***EACH LIST SHOULD BE SORTED. ***WRITE THE ARRAYS, INCLUDING THE SORTED ORIGINAL, TO A FILE WITH APPROPRIATE DESCRIPTION INCLUDING THE NUMBERS OF VALUES IN THE ARRAY.