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What is the difference between float and double?
...re calculated:
double has 52 mantissa bits + 1 hidden bit: log(253)÷log(10) = 15.95 digits
float has 23 mantissa bits + 1 hidden bit: log(224)÷log(10) = 7.22 digits
This precision loss could lead to greater truncation errors being accumulated when repeated calculations are done, e.g.
float a = 1...
How to make good reproducible pandas examples
...nd below your code with your code unindented:
In [2]: df
Out[2]:
A B
0 1 2
1 1 3
2 4 6
test pd.read_clipboard(sep='\s\s+') yourself.
* I really do mean small, the vast majority of example DataFrames could be fewer than 6 rowscitation needed, and I bet I can do it in 5 rows. Can you re...
Determine the data types of a data frame's columns
...
220
Your best bet to start is to use ?str(). To explore some examples, let's make some data:
set...
Custom numeric format string to always display the sign
...
301
Yes, you can.
There is conditional formatting. See Conditional formatting in MSDN
eg:
strin...
Why does ++[[]][+[]]+[+[]] return the string “10”?
This is valid and returns the string "10" in JavaScript ( more examples here ):
9 Answers
...
What is the bower (and npm) version syntax?
...ke any subsequent patch-level changes on the 1.2.x tree, starting with 1.2.0, but less than 1.3.0, you could use:
"angular": "~1.2"
or:
"angular": "~1.2.0"
This also gets you the same results as using the .x syntax:
"angular": "1.2.x"
But, you can use the tilde/~ syntax to be even more spec...
Permutations in JavaScript?
...
108
If you notice, the code actually splits the chars into an array prior to do any permutation, so...
Is MATLAB OOP slow or am I doing something wrong?
...are some typical results.
>> call_nops
Computer: PCWIN Release: 2009b
Calling each function/method 100000 times
nop() function: 0.02261 sec 0.23 usec per call
nop1-5() functions: 0.02182 sec 0.22 usec per call
nop() subfunction: 0.02244 sec 0....
Replace all 0 values to NA
I have a dataframe with some numeric columns. Some row has a 0 value which should be considered as null in statistical analysis. What is the fastest way to replace all the 0 value to NULL in R?
...
Pandas index column title or name
...
In [8]: df.index.name = 'foo'
In [9]: df.index.name
Out[9]: 'foo'
In [10]: df
Out[10]:
Column 1
foo
Apples 1
Oranges 2
Puppies 3
Ducks 4
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