csv

问题 Is there a way to create Data Validation drop-down list from a CSV string located in a single cell? I know how to create data validation drop down and manually input those items, but I want to be able to refer to a cell with the CSV string of all items to create the dropdown. Thanks. 回答1: unfortunately, this is not yet possible in Google Sheets. CSV values need to be each in a separate cell. also, formulae as range input are not supported either. 来源： https://stackoverflow.com/questions

问题 This question already has answers here : Python 2 CSV writer produces wrong line terminator on Windows (3 answers) Closed 4 years ago . I have a file called Some.csv which has a field (column) which has values like 1000, 2000, .... 39000. I wanted only the files with 39000 so I wrote the following python script import os import csv with open('Somenew.csv', 'w') as fw: writr = csv.writer(fw, delimiter=',') with open('Some.csv','r') as fr: reader = csv.reader(fr, delimiter = ',') for row in

问题 I'm making a sublist of every row inside a csv file but i'm getting a single list back wines_list = [] for row in wines: wines_list.append(row) print(wines_list) This returns: ['id', 'country', 'description', 'designation', 'points', 'price', 'province', 'taster_name', 'title', 'variety', 'winery', 'fixed acidity', 'volatile acidity', 'citric acid', 'residual sugar', 'chlorides', 'free sulfur dioxide', 'total sulfur dioxide', 'density', 'pH', 'sulphates', 'alcohol'] But i wan't it to append

问题 How can I remove NULL bytes using DictReader method? The following code produce error as Error: line contains NULL byte with open('excelfile.csv', 'r', encoding="ISO-8859-1") as file: reader = csv.DictReader(file, fieldnames=('BANK','IFSC', 'BRANCH', 'ADDRESS')) for row in reader: frame = {'bank': row['BANK'], 'ifsc': row['IFSC'], 'branch': row['BRANCH'], 'address': row['ADDRESS'] } framelist.append(frame) 回答1: You can replace your NULL bytes by an empty string. Like this: reader = csv

问题 Currently I can train a LSTM network using one csv file based on this tutorial: https://machinelearningmastery.com/how-to-develop-lstm-models-for-time-series-forecasting/ This code generate sliding windows where the last n_steps of the features are saved to predict the actual target (similar to this: Keras LSTM - feed sequence data with Tensorflow dataset API from the generator): #%% Import import pandas as pd import tensorflow as tf from tensorflow.python.keras.models import Sequential,

问题 I am thinking of using two csv files in a single feature file, but unable to do so, sharing a demo code for the same: Scenario Outline: * driver 'https://github.com/login' * input('#login_field', '<username>') * input('#password', '<password>') * submit().click("input[name=commit]") * match html('#js-flash-container') contains 'Incorrect username or password.' Examples: |read('one.csv')| |read('two.csv')| Here, <username> is stored in one.csv and <password> is stored in two.csv, is there a

问题 I have 2 CSV Files that contain different information. There is one column which is similar in both files. I want to merge the two files by checking the ID Column to get a new file with all information from both files. So it should be like this: File A Column 1 = ID Column 2 = Text Column 3 = other Text File B Column 1 = ID Column 2 = some other text I want to merge them now using powershell and "import-excel" module to get one new csv: File C Column 1 = ID Column 2 = Text Column 3 = other

问题 I have a very large JSON Lines File with 4.000.000 Rows, and I need to convert several events from every row. The resulted CSV File contains 15.000.000 rows. How can I optimize this script? I'm using Powershell core 7 and it takes around 50 hours to complete the conversion. My Powershell script: $stopwatch = [system.diagnostics.stopwatch]::StartNew() $totalrows = 4000000 $encoding = [System.Text.Encoding]::UTF8 $i = 0 $ig = 0 $output = @() $Importfile = "C:\file.jsonl" $Exportfile = "C:\file

问题 Recently, I asked the following question - Unwanted white spaces resulting into distorted column and the answer by @sharathnatraj was satisfactory and worked like a charm. Answer was: import re with open('trial1.txt', 'r') as f: lines = f.readlines() l = [re.sub(r"([a-z]{5,})\s([a-z]{5,})", r"\1\2", line) for line in lines] df = pd.read_csv(io.StringIO('\n'.join(l)), delim_whitespace=True) Sample data set: 1 CAgF3O3S silver trifluoromethanesulfonate 2923-28-6 256.937 629.15 1 --- --- --- ---

问题 Recently, I asked the following question - Unwanted white spaces resulting into distorted column and the answer by @sharathnatraj was satisfactory and worked like a charm. Answer was: import re with open('trial1.txt', 'r') as f: lines = f.readlines() l = [re.sub(r"([a-z]{5,})\s([a-z]{5,})", r"\1\2", line) for line in lines] df = pd.read_csv(io.StringIO('\n'.join(l)), delim_whitespace=True) Sample data set: 1 CAgF3O3S silver trifluoromethanesulfonate 2923-28-6 256.937 629.15 1 --- --- --- ---