大约有 1,390 项符合查询结果（耗时：0.0107秒） [XML]
Drop columns whose name contains a specific string from pandas DataFrame
... edited Aug 24 at 15:54
cs95
231k6060 gold badges391391 silver badges456456 bronze badges
answered May 30 '17 at 22:20
...
Is it possible to have multiple statements in a python lambda expression?
...1, 97, 98, 3, 70, 93, 1, 36, 87, 47, 20, 73, 45, 0, 65, 57, 6, 76, 16, 85, 95, 61, 4, 77, 21, 81, 82, 30, 53, 51, 42, 67, 74, 8, 15, 83, 5, 9, 78, 66, 44, 27, 19, 91, 90, 18, 49, 86, 22, 75, 71, 88, 92, 33, 89, 69, 80, 38]
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21...
Can I use mstest.exe without installing Visual Studio?
...
Visual Studio 2012 (224MB)
Visual Studio 2013 (287MB)
Visual Studio 2010 (515MB)
This installs everything needed for running mstest.exe from the command line and is much lighter weight than visual studio. ~500mb download and around ~300mb to install just the test agent if I remember correctly.
...
How do I measure execution time of a command on the Windows command line?
... 0:00:00.015
System Calls: 731
Context Switches: 299
Page Faults: 515
Bytes Read: 0
Bytes Written: 0
Bytes Other: 298
You can get TimeIt in the Windows 2003 Resource Kit. It's not available for direct download from the Microsoft Download Center, but one can still get it from ...
Get list from pandas DataFrame column headers
... edited Apr 3 '19 at 9:51
cs95
231k6060 gold badges390390 silver badges455455 bronze badges
answered Oct 20 '13 at 21:23
...
Add legend to ggplot2 line plot
... 22.41, 21.63, 22.43, 22.29, 21.89, 20.52, 19.71, 20.73,
23.51, 23.13, 22.95, 21.95, 21.91, 20.72, 20.45, 19.42, 19.97,
19.61), TempMin = c(19.34, 19.14, 18.34, 17.49, 16.75, 16.75,
16.88, 16.82, 14.82, 16.01, 16.88, 17.55, 16.75, 17.22, 19.01,
16.95, 17.55, 15.21, 14.22, 16.42)), .Names = c("fe...
Automatically import modules when entering the python or ipython interpreter
...ered Jun 20 '12 at 17:22
ravenac95ravenac95
3,2471717 silver badges2121 bronze badges
...
pandas dataframe columns scaling with sklearn
... = MinMaxScaler()
>>> dfTest = pd.DataFrame({'A':[14.00,90.20,90.95,96.27,91.21],
'B':[103.02,107.26,110.35,114.23,114.68],
'C':['big','small','big','small','small']})
>>> dfTest[['A', 'B']] = scaler.fit_transform(dfTest[['A',...
Get statistics for each group (such as count, mean, etc) using pandas GroupBy?
... -0.98 NaN -0.98 -0.98 -0.98 -0.98 -0.98
foo one 2.0 1.36 0.58 0.95 1.15 1.36 1.56 1.76
three 1.0 -0.15 NaN -0.15 -0.15 -0.15 -0.15 -0.15
two 2.0 1.42 0.63 0.98 1.20 1.42 1.65 1.87
To get specific statistics, just select them,
df.groupby(['A', 'B'])['C'].descr...
Convert list of dictionaries to a pandas DataFrame
... edited Jul 22 at 17:24
cs95
231k6060 gold badges390390 silver badges455455 bronze badges
answered Dec 17 '13 at 15:35
...