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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 do I import a CSV file in R? [closed]

I have a .csv file in my workstation. How can I open that file in R and do statistical calculation? 1 Answer ...
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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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plsql 存储过程 事务 - 更多技术 - 清泛网 - 专注C/C++及内核技术

...滚时,oracle会确认事务变化或回滚事务、结束事务、删除保存点、释放锁。 4、提交事务(COMMIT)确认事务变化,结束当前事务、删除保存点,释放锁,使得当前事务中所有未决的数据永久改变。 5、保存点(SAVEPOINT)在当前事...
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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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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? ...