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Converting a generic list to a CSV string
...g what the Framework already does for us.
List<int> myValues;
string csv = String.Join(",", myValues.Select(x => x.ToString()).ToArray());
For the general case:
IEnumerable<T> myList;
string csv = String.Join(",", myList.Select(x => x.ToString()).ToArray());
As you can see, it's ...
Stop Excel from automatically converting certain text values to dates
Does anyone happen to know if there is a token I can add to my csv for a certain field so Excel doesn't try to convert it to a date?
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How to read data when some numbers contain commas as thousand separator?
I have a csv file where some of the numerical values are expressed as strings with commas as thousand separator, e.g. "1,513" instead of 1513 . What is the simplest way to read the data into R?
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How to read a text file into a list or an array with Python
...ould be so much traction to this. Here's a more idiomatic approach.
import csv
with open('filename.csv', 'r') as fd:
reader = csv.reader(fd)
for row in reader:
# do something
share
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Concatenate text files with Windows command line, dropping leading lines
...
I use this, and it works well for me:
TYPE \\Server\Share\Folder\*.csv >> C:\Folder\ConcatenatedFile.csv
Of course, before every run, you have to DELETE C:\Folder\ConcatenatedFile.csv
The only issue is that if all files have headers, then it will be repeated in all files.
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MySQL load NULL values from CSV data
...lly like this answer. Users can see empty strings '' when they download a csv (using IFNULL(Col,'') in SELECT INTO OUTFILE query) for excel but then uploads accept them as null vs having to deal with \N in the csv. Thanks!
– chrisan
Sep 29 '13 at 15:47
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搭建高可用mongodb集群(三)—— 深入副本集内部机制 - 大数据 & AI - 清...
...识;而一致性协议强调的是操作的顺序一致性,比如同时读写一个数据会不会出现脏数据。一致协议在分布式里有一个经典的算法叫“Paxos算法”,后续再介绍。
上面有个问题,就是所有从节点的最后操作时间都是一样怎么办...
Properly escape a double quote in CSV
I have a line like this in my CSV:
4 Answers
4
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Writing to an Excel spreadsheet
...ges available (xlwt, XlsXcessive, openpyxl). Others suggest to write to a .csv file (never used CSV and don't really understand what it is).
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How to store a dataframe using Pandas
Right now I'm importing a fairly large CSV as a dataframe every time I run the script. Is there a good solution for keeping that dataframe constantly available in between runs so I don't have to spend all that time waiting for the script to run?
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