csv

问题 I'm working with the MNIST data set. I pulled down the original binary files (i.e. -ubyte; 784 columns X 60,000 rows for training data set), and converted them to CSV so I could do some processing on them. Now I want to convert the CSV files back to ubyte, to upload them to a pipeline I'm testing. I found this code, but I would have thought converting .csv to ubyte would be a common process, particularly as the MNIST data set is so famous, and I'm wondering am I missing something and if there

问题 I'm working with the MNIST data set. I pulled down the original binary files (i.e. -ubyte; 784 columns X 60,000 rows for training data set), and converted them to CSV so I could do some processing on them. Now I want to convert the CSV files back to ubyte, to upload them to a pipeline I'm testing. I found this code, but I would have thought converting .csv to ubyte would be a common process, particularly as the MNIST data set is so famous, and I'm wondering am I missing something and if there

问题 I am trying to make a dict from csv data in python, I do not want to use the traditional split(',') and then using renaming the rows to the heading I would like, as I will be recieving different csv files with different amounts of information, and I will not be able to consistently target the rows I want with that method. THE HEADER NAMES WILL BE CONSISTENT, just their maybe more headers in one file compared to another Instead, I have been trying to formulate a list from the CSV file, then

问题 i'm new with python and try to modify csv file so i will able to delete specific rows with specific fields according to given list. in my current code i get the rows which i want to delete but i can't delete it and save the changes on same file (replace). import os, sys, glob import time ,csv # Open a file path = 'C:\\Users\\tzahi.k\\Desktop\\netzer\\' dirs = os.listdir( path ) fileslst = [] alertsCode = ("42001", "42003", "42006","51001" , "51002" ,"61001" ,"61002","71001", "71002","71003",

问题 right now I have Python 3 code that takes a column of data within a CSV file, delimits the phrases in each cell into individual words based on spaces, then exports the data back into a new CSV file. What I am wondering about is if there is a way to tell python to only apply the formatting code to a specific column with a particular header? Here is what my source data looks like Keyword Source Number Lions Tigers Bears US 3 Dogs Zebra Canada 5 Sharks Guppies US 2 and here is my code which

问题 Here is a simplified version of some code that I have. In the first frame, the user selects a csv file using 'tk.filedialog' and it is meant to be plotted on the same frame on the canvas. There is also a second frame that is capable of plotting the graph in case it is easier to do it across a different frame. Running this version of the code results in the error: "ValueError: Invalid file path or buffer object type: ". I am not sure how to get this code to work without this problem occurring,

问题 I have a list : citylist = ['New York', 'San Francisco', 'Los Angeles', 'Chicago', 'Miami'] and a pandas Dataframe df1 with these values first last city email John Travis New York a@email.com Jim Perterson San Franciso, Los Angeles b@email.com Nancy Travis Chicago b1@email.com Jake Templeton Los Angeles b3@email.com John Myers New York b4@email.com Peter Johnson San Franciso, Chicago b5@email.com Aby Peters Los Angeles b6@email.com Amy Thomas San Franciso b7@email.com Jessica Thompson Los

问题 I'm trying to make a program which stores a list of names in a CSV file, and I'm trying to add a function to delete rows, which isn't working as it deletes everything in the CSV file. I've tried using writer.writerow(row), which hasn't worked. memberName = input("Please enter a member's name to be deleted.") imp = open('mycsv.csv' , 'rb') out = open('mycsv.csv' , 'wb') writer = csv.writer(out) for row in csv.reader(imp): if row == memberName: writer.writerow(row) imp.close() out.close() I

问题 import filecmp comparison = filecmp.dircmp(dir_local, dir_server) comparison.report_full_closure() I want to compare all CSV files kept on my local machine to files kept on a server. The folder structure is the same for both of them. I only want to do a data comparison and not metadata (like time of creation, etc). I am using filecmp but it seems to perform metadata comparison. Is there a way to do what I want? 回答1: There are multiple ways to compare the .csv files between the 2 repositories

问题 import filecmp comparison = filecmp.dircmp(dir_local, dir_server) comparison.report_full_closure() I want to compare all CSV files kept on my local machine to files kept on a server. The folder structure is the same for both of them. I only want to do a data comparison and not metadata (like time of creation, etc). I am using filecmp but it seems to perform metadata comparison. Is there a way to do what I want? 回答1: There are multiple ways to compare the .csv files between the 2 repositories