csv

问题 I have a requirement in which a zip files arrives on s3 bucket, I need to write a lambda using python to read the zip file perform some validation and unzip on another S3 bucket. Zip file contains below: a.csv b.csv c.csv trigger_file.txt trigger_file.txt -- contain names of files in zip and record count (example: a.csv:120 , b.csv:10 , c.csv:50 ) So using lambda I need to read trigger file check if number files in zip folder is equal to number of files mentioned in trigger file if pass the

问题 For a recent project I need to loop through rows of a csv (ignore.csv) with 3 columns: acctnum, errcode, date ← in that order… (Column naming doesn't matter here, its just for context) and use those variables to build SQL statements. The CSV may have 500 rows or it might have 20k. My SQL statement should look like this: UPDATE O.ACCT_ERR SET REC_ACTV_IND='T' WHERE BUS_DT='20200603' and ERR_CD='R4442' AND ACCT_KEY IN ( SELECT ACCT_KEY FROM O.ACCT WHERE ACCT_SRCH_NBR='10100000011' ); Currently

问题 I should start by saying I'm no PowerShell expert at all, I can cobble stuff together OK but that's about it. I have 3 .csv files that all contain 1 column of information. I need a PowerShell script that will combine each column from the individual CSV files and combine them into a single 3 column CSV file. i.e. CSV1 Red Green Blue CSV2 Monday Tuesday CSV3 Monkey Badger Tiger Giraffe And that combined would look like CSV1 CSV2 CSV3 Red Monday Monkey Green Tuesday Badger Blue Tiger Giraffe So

问题 Solution : See answer, it was not encoded in CP1252 but in UTF-16 . Solution code is : import pandas as pd df = pd.read_csv('my_file.csv', sep='\t', header=1, encoding='utf-16') Also works with encoding='utf-16-le' Update : output of the first 3 lines in bytes : In : import itertools ...: print(list(itertools.islice(open('file_T.csv', 'rb'), 3))) Out : [b'\xff\xfe"\x00D\x00u\x00 \x00m\x00e\x00r\x00c\x00r\x00e\x00d\x00i\x00 \x000\x005\x00 \x00j\x00u\x00i\x00n\x00 \x002\x000\x001\x009\x00 \x00a

问题 Solution : See answer, it was not encoded in CP1252 but in UTF-16 . Solution code is : import pandas as pd df = pd.read_csv('my_file.csv', sep='\t', header=1, encoding='utf-16') Also works with encoding='utf-16-le' Update : output of the first 3 lines in bytes : In : import itertools ...: print(list(itertools.islice(open('file_T.csv', 'rb'), 3))) Out : [b'\xff\xfe"\x00D\x00u\x00 \x00m\x00e\x00r\x00c\x00r\x00e\x00d\x00i\x00 \x000\x005\x00 \x00j\x00u\x00i\x00n\x00 \x002\x000\x001\x009\x00 \x00a

问题 I am having trouble exporting some data from one meteor application (meteor application 1) as a CSV, then uploading that CSV file to a separate meteor application (meteor application 2) . Specifically, while the file is exported from meteor application 1 with utf-8 encoding, I do not know how to “tell” meteor application 2 that the csv encoded in utf-8 format. As a result, the data, as received by meteor application 2 gets corrupted with utf-8 jargon like “%u2019” etc I’m using the package

问题 I am having trouble exporting some data from one meteor application (meteor application 1) as a CSV, then uploading that CSV file to a separate meteor application (meteor application 2) . Specifically, while the file is exported from meteor application 1 with utf-8 encoding, I do not know how to “tell” meteor application 2 that the csv encoded in utf-8 format. As a result, the data, as received by meteor application 2 gets corrupted with utf-8 jargon like “%u2019” etc I’m using the package

问题 I am having trouble exporting some data from one meteor application (meteor application 1) as a CSV, then uploading that CSV file to a separate meteor application (meteor application 2) . Specifically, while the file is exported from meteor application 1 with utf-8 encoding, I do not know how to “tell” meteor application 2 that the csv encoded in utf-8 format. As a result, the data, as received by meteor application 2 gets corrupted with utf-8 jargon like “%u2019” etc I’m using the package

问题 I have a csv (tsv) file with this header "Message Name" "Field" "Base Label" "Base Label Update Date" "Translated Label" "Translated Label Update Date" "Language" "Message" "subject_template" "New Task: Assess Distribution Outcomes for ""${docNameNoLink}"", ""${docNumber}""" "8/10/16 4:17:43 PM" "Nouvelle tâche : évaluez le résultat de la distribution de « ${docNameNoLink} »." "2/17/14 5:09:10 AM" "fr" When I try to read the file with this code import csv with open(fileName, 'r', encoding=

问题 I am making a program that reads a .CSV file and loads it into binary search trees to sort its content, since I managed to load the .CSV and implement the tree however the content of the file is: 1, Peter, 230151515 5, Merrick, 25551561 7, Lucky, 4301616199 2, luis, 2589191919 16, Alfredo, 25891919 8, Linda, 129616919 I am using the first data of each row as a key and with the code that I carry, it orders it correctly, however I want it to show the rest of the row, not just the key, someone