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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
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App Inventor 2 数学代码块 · App Inventor 2 中文网
... 按位或 (bitwise or Inclusive)
按位异或 (bitwise or Exclusive)
列表中出现次数最多的元素 (mode)
案例：指定将二进制的某一位(Bit)改为1
案例：指定将二进制的某一位(Bit)改为0
基础数字块 ( 0 )
进制数字块 ( 0 )
等于 ( = )
不...
Concatenate text files with Windows command line, dropping leading lines
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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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MaterialDialog 对话框增强扩展 · App Inventor 2 中文网
... 抽屉菜单（Drawer）
日期/时间选择器
列表选择对话框
拓展下载
版权声明
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MaterialDialog 对话框增强扩展
MaterialDialog 扩展为 MIT App Inventor 提供增强的对话框...
CGRidCtrl控件 学习心得 - C/C++ - 清泛网 - 专注C/C++及内核技术
...览）或是基于会话的应用（不支持打印预览）
u 可选的"列表模式"，包括对行的全选或单选，还有单击列标题提示进行插入的操作。
u 众多的虚函数可以很容易对控件进行功能扩充
u 单元格的标题提示太小不能显示数据
u ...
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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