大约有 11,600 项符合查询结果(耗时:0.0167秒) [XML]

https://stackoverflow.com/ques... 

pandas: multiple conditions while indexing data frame - unexpected behavior

I am filtering rows in a dataframe by values in two columns. 3 Answers 3 ...
https://stackoverflow.com/ques... 

What's the algorithm to calculate aspect ratio?

... I gather you're looking for an usable aspect ratio integer:integer solution like 16:9 rather than a float:1 solution like 1.77778:1. If so, what you need to do is find the greatest common divisor (GCD) and divide both values by that. The GCD is the highest n...
https://stackoverflow.com/ques... 

Do the parentheses after the type name make a difference with new?

If 'Test' is an ordinary class, is there any difference between: 6 Answers 6 ...
https://stackoverflow.com/ques... 

Why are elementwise additions much faster in separate loops than in a combined loop?

Suppose a1 , b1 , c1 , and d1 point to heap memory and my numerical code has the following core loop. 10 Answers ...
https://stackoverflow.com/ques... 

Sample random rows in dataframe

...ruggling to find the appropriate function that would return a specified number of rows picked up randomly without replacement from a data frame in R language? Can anyone help me out? ...
https://stackoverflow.com/ques... 

Listing all permutations of a string/integer

...f interviews though) is to take a string or an integer and list every possible permutation. 28 Answers ...
https://stackoverflow.com/ques... 

Return anonymous type results?

Using the simple example below, what is the best way to return results from multiple tables using Linq to SQL? 16 Answers ...
https://stackoverflow.com/ques... 

SQL JOIN vs IN performance?

...g a JOIN or an IN will give me the correct results... Which typically has better performance and why? How much does it depend on what database server you are running? (FYI I am using MSSQL) ...
https://stackoverflow.com/ques... 

count the frequency that a value occurs in a dataframe column

... Use groupby and count: In [37]: df = pd.DataFrame({'a':list('abssbab')}) df.groupby('a').count() Out[37]: a a a 2 b 3 s 2 [3 rows x 1 columns] See the online docs: http://pandas.pydata.org/pandas-docs/stable/groupby.htm...
https://stackoverflow.com/ques... 

Fast way of counting non-zero bits in positive integer

I need a fast way to count the number of bits in an integer in python. My current solution is 9 Answers ...