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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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Can pandas automatically recognize dates?
...eparse = lambda x: datetime.strptime(x, '%Y-%m-%d %H:%M:%S')
df = pd.read_csv(infile, parse_dates=['datetime'], date_parser=dateparse)
This way you can even combine multiple columns into a single datetime column, this merges a 'date' and a 'time' column into a single 'datetime' column:
dateparse =...
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 ...
Java lib or app to convert CSV to XML file? [closed]
...xisting application or library in Java which will allow me to convert a CSV data file to XML file?
16 Answers
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转型产品经理必看 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...用需要经历哪些环节，需要与哪些人进行合作。比如需要数据准备的产品，在产品设计阶段就需要与数据提供方达成一致，保证产品上线时数据准备是ok的，比如需要运营介入的产品设计，需要在前期沟通阶段就邀请运营人员加...
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...信息，对诊断治疗的帮助可想而知。“其实，玩的就是大数据，如何将大数据应用到智慧城市就是我们接下来的一大重要内容。”王麒诚说。
当然，王麒诚想做的远不止这些，他希望把汉鼎做成更大的一个集团帝国。
80后 创...
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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财务计算器拓展：复利计算、平均值、中位数、众数、方差计算 - App Invento...
...、众数、方差等。无论您是在创建个人财务应用程序还是数据分析工具，此扩展都是您不可或缺的得力助手。
FeaturesWith the Financial Calculator extension, you can:Format Currency: Format integers as locale-specific currency, making your app user-friendly for...
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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