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App Inventor 2 低功耗蓝牙(BLE) 硬件接入、数据通信及IO控制 - App Invent...
...如下:
扫描蓝牙设备,代码如下:
扫描完成后,设备列表展示到“列表显示框”组件中:
点击列表中的目标设备(一般硬件文档会有说明,名称会有特别的标识),连接蓝牙设备的代码如下:蓝牙App控制硬件开始控制硬件相...
reformat in vim for a nice column layout
I have this dataset in a csv file
13 Answers
13
...
returning in the middle of a using block
...(var textwriter = new StreamWriter(memoryStream))
{
using (var csv = new CsvWriter(textwriter))
{
//..write some stuff to the stream using the CsvWriter
return memoryStream.ToArray();
}
}
}
I was passing in a DataTable to be outputted as csv....
App Inventor 2 中文网原创内容 · App Inventor 2 中文网
...nventor 2 模拟sleep函数
【技巧】App Inventor 2 过滤蓝牙设备列表
【代码简洁之道】App Inventor 2 任何(Any)代码块
【技巧】代码块导出图像,以及还原
【技巧】块拓展:参数可变
【技巧】拷贝及分享功能
【技巧】App Inventor 2...
Combine Date and Time columns using python pandas
...ou may have been able to read this in directly e.g. if you were using read_csv using parse_dates=[['Date', 'Time']].
Assuming these are just strings you could simply add them together (with a space), allowing you to apply to_datetime:
In [11]: df['Date'] + ' ' + df['Time']
Out[11]:
0 01-06-2013...
Nullable Foreign Key bad practice?
...red Nov 12 '09 at 17:14
Patrik HägnePatrik Hägne
15k33 gold badges4848 silver badges5858 bronze badges
...
What is Common Gateway Interface (CGI)?
...ed Jan 18 '10 at 21:23
Juha SyrjäläJuha Syrjälä
30k3030 gold badges121121 silver badges171171 bronze badges
...
Sorting multiple keys with Unix sort
...
Here is one to sort various columns in a csv file by numeric and dictionary order, columns 5 and after as dictionary order
~/test>sort -t, -k1,1n -k2,2n -k3,3d -k4,4n -k5d sort.csv
1,10,b,22,Ga
2,2,b,20,F
2,2,b,22,Ga
2,2,c,19,Ga
2,2,c,19,Gb,hi
2,2,c,19,Gb,hj
2,...
How to compare times in Python?
...
You might want to flip the acceptance to Pär Wieslander's answer (and generally should wait a few more minutes than you did :P), as it's a bit more specific to exactly what you asked.
– Roger Pate
Dec 2 '09 at 8:40
...
Pandas every nth row
...came up with when using the index was not viable ( possibly the multi-Gig .csv was too large, or I missed some technique that would allow me to reindex without crashing ).
Walk through one row at a time and add the nth row to a new dataframe.
import pandas as pd
from csv import DictReader
def make_...
