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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 =...
ZMQ: 基本原理 - 开源 & Github - 清泛网移动版 - 专注C/C++及内核技术
...输地址协同工作，比如IP地址，而后者仅仅使用处理器（文件描述符）去定位具体的拓扑：
/* Topology establishment */
int s = zmq_socket (...);
zmq_connect (s, "tcp://192.168.0.111:5555");
/* Message routing */
const char data [] = "ABC";
zmq_send (s, data, ...
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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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 ...
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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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 can I set the request header for curl?
...ered Nov 18 '10 at 7:27
Mads MobækMads Mobæk
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MQTT与TCP的区别 - 创客硬件开发 - 清泛IT社区，为创新赋能！
...条消息就发送上千条采集的数据，或者比较大的设备阴影文件。技术挑战TCP需要解决的问题是在IP包传输过程中，处理异构网络环境下的网络拥塞、丢包、乱序、重复包等多种问题。MQTT解决的问题是，在低带宽高延迟不可靠的网...
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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