大约有 45,000 项符合查询结果（耗时：0.0581秒） [XML]
Selecting data frame rows based on partial string match in a column
...)), ]
mpg cyl disp hp drat wt qsec vs am gear carb
# Merc 240D 24.4 4 146.7 62 3.69 3.19 20.0 1 0 4 2
# Merc 230 22.8 4 140.8 95 3.92 3.15 22.9 1 0 4 2
# Merc 280 19.2 6 167.6 123 3.92 3.44 18.3 1 0 4 4
# Merc 280C 17.8 6 167.6 123 3.92 3....
'id' is a bad variable name in Python
...
|
edited May 8 '12 at 14:17
phwd
19.9k55 gold badges4646 silver badges7777 bronze badges
answer...
Why are there two kinds of functions in Elixir?
... Ruby. We can create it as follows:
x = 1
fun = fn y -> x + y end
fun.(2) #=> 3
A function can have multiple clauses too:
x = 1
fun = fn
y when y < 0 -> x - y
y -> x + y
end
fun.(2) #=> 3
fun.(-2) #=> 3
Now, let's try something different. Let's try to define different ...
Get the name of the currently executing method
...
answered Oct 14 '08 at 0:24
Mark A. NicolosiMark A. Nicolosi
69.1k1010 gold badges4040 silver badges4646 bronze badges
...
How to sort a dataFrame in python pandas by two or more columns?
... deprecated in favor of sort_values. sort was completely removed in the 0.20.0 release. The arguments (and results) remain the same:
df.sort_values(['a', 'b'], ascending=[True, False])
You can use the ascending argument of sort:
df.sort(['a', 'b'], ascending=[True, False])
For example:
In ...
CSV API for Java [closed]
...
32
Apache Commons CSV
Check out Apache Common CSV.
This library reads and writes several variatio...
Is there a C++ gdb GUI for Linux? [closed]
...
28 Answers
28
Active
...
What is the coolest thing you can do in
...
1
2
3
Next
78
votes
...
How to get the index of a maximum element in a numpy array along one axis
I have a 2 dimensional NumPy array. I know how to get the maximum values over axes:
4 Answers
...
How to convert a factor to integer\numeric without loss of information?
... mean median uq max neval
## as.numeric(levels(f))[f] 3.982 5.120 6.088624 5.405 5.974 1981.418 1e+05
## as.numeric(levels(f)[f]) 5.973 7.111 8.352032 7.396 8.250 4256.380 1e+05
## as.numeric(as.character(f)) 6.827 8.249 9.628264 8.534 9.671 1983.694 1e+05
## ...