csv

问题 maybe this could be very helpful to other people. This is the link in which is explained the installatif DSbulk loader. https://docs.datastax.com/en/dsbulk/doc/dsbulk/install/dsbulkInstall.html Someone could explain step by step the procedure to install it? The first part in the link is very clear, but if you have installed JAVA (as in my case) when on terminal you run " dsbulk --version " it says "command not found". I hope this will be very helpful, there are no tutorials neither on youtube

问题 Our customer started reporting bugs with importing data from CSV file. After seeing the csv file, we decided to switch from custom CSV parser to CSVHelper, but the CSV Helper can't read some valid CSV files. The users are able to load any csv file into our application, so we can't use any class mapper. We use csv.Parser.Read to read string[] dataRows. We can't change a way how this csv file is generated, it is generated by another company and we can't convince them to change the generation

问题 I have a php code where I am parsing the csv file and I want to import the parse data to maria db. How can I do that? My code: <?php $row = 1; if (($handle = fopen("users.csv", "r")) !== FALSE) { while (($data = fgetcsv($handle, 1000, ",")) !== FALSE) { $num = count($data); echo "<p> $num fields in line $row: <br /></p>\n"; $row++; for ($c=0; $c < $num; $c++) { echo $data[$c] . "<br />\n"; } } fclose($handle); } ?> Output: Task1 % php user_upload.php <p> 3 fields in line 1: <br /></p> name<br

问题 I want to read a csv file into a list in an apache beam application, where each element in the list is a tuple or list (don't really matter), so that I would have the csv 1,2,3 4,5,6 become [(1,2,3) , (4,5,6)] or [ [1,2,3], [4,5,6] ] I tried following the instructions in How to convert csv into a dictionary in apache beam dataflow but when I try to use from beam_utils.sources import CsvFileSource I get from beam_utils.sources import CsvFileSource Traceback (most recent call last): File "

问题 I currently have a script which I want to use to combine csv data files. For example I have a file called process.csv and file.csv but when I try to append one to the other in a new file called 'all_files.csv' it appends it the correct column but not from the top of the file. What happens at the moment: process/sec 08/03/16 11:19 0 08/03/16 11:34 0.1 08/03/16 11:49 0 08/03/16 12:03 0 08/03/16 12:13 0 08/03/16 12:23 0 file/sec 0 43.3 0 0 0 0 0 What I want: process/sec file/sec 08/03/16 11:19 0

问题 i'm new to python and I've got a large json file that I need to convert to csv - below is a sample { "status": "success","Name": "Theresa May","Location": "87654321","AccountCategory": "Business","AccountType": "Current","TicketNo": "12345-12","AvailableBal": "12775.0400","BookBa": "123475.0400","TotalCredit": "1234567","TotalDebit": "0","Usage": "5","Period": "May 11 2014 to Jul 11 2014","Currency": "GBP","Applicants": "Angel","Signatories": [{"Name": "Not Available","BVB":"Not Available"}],

问题 I'm adding the text contained in the second column of a number of csv files into one list to later perform sentiment analysis on each item in the list. My code is fully working for large csv files at the moment, but the sentiment analysis I'm performing on the items in the list takes too long which is why I want to only read the first 200 rows per csv file. The code looks as follows: import nltk, string, lumpy import math import glob from collections import defaultdict columns = defaultdict

问题 I want to create a small program to convert a CSV file with one column containing values separated by comma, to CSV file containing multiple columns with one value: input file: output file: Therefor I write this code: my_string1 = 'A,B,C,D,E' my_string2 = 'A,B,C,D,E' my_string3 = 'A,B,C,D,E' my_list1 = my_string1.split(",") my_list2 = my_string2.split(",") my_list3 = my_string3.split(",") path = 'C:\Dokumente\\n_1.csv' rows = zip(my_list1,my_list2,my_list3) with open(path, "wb") as csv_file:

问题 My original file for training purpose have 25Gb. My machine has 64Gb of RAM. Importing data with default options always ends up in "Memory Error", therefore after reading some posts, I find out that the best option is to define all data types. For purpose of this question I use a CSV file of: 100.7Mb (it's a mnist data set pulled from https://pjreddie.com/media/files/mnist_train.csv) When I import it with default options in pandas: keys = ['pix{}'.format(x) for x in range(1, 785)] data = pd

问题 I know how to remove lines in a CSV file, however looking at removing multiple lines in multiple CSV files. that's my code: import csv import os import glob myfiles = glob.glob('*.csv',recursive=False) with open(myfiles, 'r') as fin: data = fin.read().splitlines(True) with open(myfiles, 'w') as fout: fout.writelines(data[5:]) I want to achieve the following: 1) Iterate through current directory. 2) Remove first 4 lines in a CSV file and save it. 回答1: This answer looks helpful. Here is a