csv

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 7 years ago . Improve this question I'm trying to import CSVs or Unicode Text with Thai Characters into MySQL. There's no problem with MySQL saving Thai Characters. The problem is, when I use fgetcsv or fgets, I get garbage in exchange for the Thai Characters. Like for example, these characters,

问题 My code merges csv files and removes duplicates with pandas. Is it possible to add an additional header with values to the single merged file? The additional header should be called Host Alias and should correspond to Host Name E.g. Host Name is dpc01n1 and the corresponding Host Alias should be dev_dom1 Host Name is dpc02n1 and the corresponding Host Alias should be dev_dom2 etc. Here is my code from glob import glob import pandas as pd class bcolors: HEADER = '\033[95m' OKBLUE = '\033[94m'

问题 I am reading a CSV file called: candidates.csv line by line (row by row) like follows: import csv for line in open('candidates.csv'): csv_row = line.strip().split(',') check_update(csv_row[7]) #check_update is a function that returns an int How can I append the data that the check_updates function returns at the end of the line (row) that I am reading? Here is what I have tried: for line in open('candidates.csv'): csv_row = line.strip().split(',') data_to_add = check_update(csv_row[7]) with

问题 My code merges csv files and removes duplicates with pandas. Is it possible to add an additional header with values to the single merged file? The additional header should be called Host Alias and should correspond to Host Name E.g. Host Name is dpc01n1 and the corresponding Host Alias should be dev_dom1 Host Name is dpc02n1 and the corresponding Host Alias should be dev_dom2 etc. Here is my code from glob import glob import pandas as pd class bcolors: HEADER = '\033[95m' OKBLUE = '\033[94m'

问题 I have a csv, which looks like this: name,code,age Himsara,9877,12 John,9437721,16 Razor,232,45 I have to replace the column code according to some regular expressions. My logic is shown in a Scala code below. if(str.trim.length == 9 && str.startsWith("369")){"PROB"} else if(str.trim.length < 8){"SHORT"} else if(str.trim.startsWith("94")){"LOCAL"} else{"INT"} I used a UpdateRecord Processor to replace the data in the code column. I added a property called /code which contains the value. $

问题 This question already has answers here : Reading a huge .csv file (7 answers) Closed 6 years ago . I have a problem with a python module that cannot handle importing a big datafile (the file targets.csv weights nearly 1 Gb) the error appens when this line is loaded: targets = [(name, float(X), float(Y), float(Z), float(BG)) for name, X, Y, Z, BG in csv.reader(open('targets.csv'))] traceback: Traceback (most recent call last): File "C:\Users\gary\Documents\EPSON STUDIES\colors_text_D65.py",

问题 I have a data file that has 14 lines of header. In the header, there is the metadata for the latitude-longitude coordinates and time. I am currently using pandas.read_csv(filename, delimiter",", header=14) to read in the file but this just gets the data and I can't seem to get the metadata. Would anyone know how to read in the information in the header? The header looks like: CSD,20160315SSIO NUMBER_HEADERS = 11 EXPOCODE = 33RR20160208 SECT_ID = I08 STNBBR = 1 CASTNO = 1 DATE = 20160219 TIME

问题 This question already has answers here : Reading a huge .csv file (7 answers) Closed 6 years ago . I have a problem with a python module that cannot handle importing a big datafile (the file targets.csv weights nearly 1 Gb) the error appens when this line is loaded: targets = [(name, float(X), float(Y), float(Z), float(BG)) for name, X, Y, Z, BG in csv.reader(open('targets.csv'))] traceback: Traceback (most recent call last): File "C:\Users\gary\Documents\EPSON STUDIES\colors_text_D65.py",

问题 I am trying to use "compose" command in the shell to merge the files I get in my bucket GCP. Problem appears when this command merges those csv files but does not skip the headers. What I finally get is a merge of 24 csv files but also 24 headers. Trying to do this in python but also no solution. Any help?? 回答1: There doesn't exist any flag on gsutil to skip csv headers but I have this python script that can make the workaround. This script downloads the csv files from the bucket, append them

问题 I have a CSV file like the following one: user,password,company Administrator, 123456, test_company test_user1, abcdf, test_company1 test_user2, 789, test_company2 This should be a table with user , password and company as headers. How can I write this structure as a table in a docx file using python? 回答1: import docx import csv doc = docx.Document() with open('csv.csv', newline='') as f: csv_reader = csv.reader(f) csv_headers = next(csv_reader) csv_cols = len(csv_headers) table = doc.add