csv

问题 I want to do something like: import csv import tornado.web class MainHandler(tornado.web.RequestHandler): def post(self): uploaded_csv_file = self.request.files['file'][0] with uploaded_csv_file as csv_file: for row in csv.reader(csv_file): self.write(' , '.join(row)) But, uploaded_csv_file is not of type file . What is the best practice here? Sources: http://docs.python.org/2/library/csv.html http://docs.python.org/2/library/functions.html#open https://stackoverflow.com/a/11911972/242933 回答1

问题 I am reading a csv using pandas str,date,float,time,datetime a,10/11/19,1.1,10:30:00,10/11/19 10:30 b,10/11/19,1.2,10:00:00,10/11/19 10:30 c,10/11/19,1.3,11:10:11,10/11/19 10:30 df = pd.read_csv(file) Now my business requirement is that I want to tell which column is pure date field, pure time field, or which is complete datetime. For particular column my code is: try: dt = pd.to_datetime(df[col]) dates = [obj.date() for obj in dt] times = [obj.time() for obj in dt] if dates and (set(times) =

问题 I have imported a list of names from a csv file and want to print each name a new line, how would i go about this as the program i have wrote prints it all on one line? import csv from tkinter import * master=Tk() file=open('Book1.csv') qwerty=csv.reader(file) people=[] for column in qwerty: people.append(column[0:7]) namelbl=Label(text='Name').grid(column=1,row=1) namebox=Text(master,width=10) namebox.grid(column=1,row=2) namesList = [x[0] for x in people] for names in sorted(namesList):

问题 I have imported a list of names from a csv file and want to print each name a new line, how would i go about this as the program i have wrote prints it all on one line? import csv from tkinter import * master=Tk() file=open('Book1.csv') qwerty=csv.reader(file) people=[] for column in qwerty: people.append(column[0:7]) namelbl=Label(text='Name').grid(column=1,row=1) namebox=Text(master,width=10) namebox.grid(column=1,row=2) namesList = [x[0] for x in people] for names in sorted(namesList):

问题 I have imported a list of names from a csv file and want to print each name a new line, how would i go about this as the program i have wrote prints it all on one line? import csv from tkinter import * master=Tk() file=open('Book1.csv') qwerty=csv.reader(file) people=[] for column in qwerty: people.append(column[0:7]) namelbl=Label(text='Name').grid(column=1,row=1) namebox=Text(master,width=10) namebox.grid(column=1,row=2) namesList = [x[0] for x in people] for names in sorted(namesList):

问题 Below is an example of the text file I am working with: 437868313,2436413,Wyatt,Trenton,08/21/2003,211000010262002,211000010262002,2014,01,54435A000,510,Social Studies (Grade 5),08/14/2013,5-2,02,0,02,02,01,,,,,,100,05/29/2014, 437868313,2436413,Wyatt,Trenton,08/21/2003,211000010262002,211000010262002,2014,01,53235A000,500,Science (Grade 5),08/14/2013,5-2,02,0,02,02,01,,,,,,100,05/29/2014, 437868313,2436413,Wyatt,Trenton,08/21/2003,211000010262002,211000010262002,2014,01,58035A000,560

问题 Below is an example of the text file I am working with: 437868313,2436413,Wyatt,Trenton,08/21/2003,211000010262002,211000010262002,2014,01,54435A000,510,Social Studies (Grade 5),08/14/2013,5-2,02,0,02,02,01,,,,,,100,05/29/2014, 437868313,2436413,Wyatt,Trenton,08/21/2003,211000010262002,211000010262002,2014,01,53235A000,500,Science (Grade 5),08/14/2013,5-2,02,0,02,02,01,,,,,,100,05/29/2014, 437868313,2436413,Wyatt,Trenton,08/21/2003,211000010262002,211000010262002,2014,01,58035A000,560

问题 I have the following line in Powershell to output an array of data. The problem I am having is that Name,Title,Department do not go into columns. Instead I get a single column with each row in a single cell with tabs between. $outList | Format-Table Name,Title,Department -auto >c:\Scripts\test2.csv How can I output into columns? 回答1: You should be using the Export-Csv cmdlet instead. $outList | Export-Csv -path c:\scripts\test.csv -NoTypeInformation If you need only selected fields, pipe it

问题 At the risk of being a bit off-topic, I want to show a simple solution for loading large csv files in a dask dataframe where the option sorted=True can be applied and save a significant time of processing. I found the option of doing set_index within dask unworkable for the size of the toy cluster I am using for learning and the size of the files (33GB). So if your problem is loading large unsorted CSV files, ( multiple tens of gigabytes ), into a dask dataframe and quickly start performing

问题 I'm trying to request database with logstash jdbc plugins and returns a csv output file with headers with logstash csv plugin. I spent a lot of time on logstash documentation but I'm still missing a point. With the following logstash configuration, the results give me a file with headers for each row. I couldn't find a way to add the headers for only the first row in the logstash configuration. Helps very much appreciated. Output file _object$id;_object$name;_object$type;nb_surveys;csat_score