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How to convert a Binary String to a base 10 integer in Java
...ithout leading zeroes) that I want to convert to their corresponding base 10 numbers. Consider:
9 Answers
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How to add a new row to an empty numpy array
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The way to "start" the array that you want is:
arr = np.empty((0,3), int)
Which is an empty array but it has the proper dimensionality.
>>> arr
array([], shape=(0, 3), dtype=int64)
Then be sure to append along axis 0:
arr = np.append(arr, np.array([[1,2,3]]), axis=0)
arr =...
Grid of responsive squares
... you can code :
HTML :
<div></div>
CSS
div {
width: 30%;
padding-bottom: 30%; /* = width for a square aspect ratio */
}
Here is a simple layout example of 3*3 squares grid using the code above.
With this technique, you can make any other aspect ratio, here is a table giv...
How to compute the similarity between two text documents?
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10 Answers
10
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++someVariable vs. someVariable++ in JavaScript
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250
Same as in other languages:
++x (pre-increment) means "increment the variable; the value of th...
How do I add 1 day to an NSDate?
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720
Swift 5.0 :
var dayComponent = DateComponents()
dayComponent.day = 1 // For removing...
Lost connection to MySQL server at 'reading initial communication packet', system error: 0
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107
Someone here suggests that it might be a firewall problem:
I have just had this problem and...
show all tags in git log
... namespace) is purely local matter; what one repository has in 'refs/tags/v0.1.3', other can have in 'refs/tags/sub/v0.1.3' for example.
So when you create signed tag 'A', you have the following situation (assuming that it points at some commit)
35805ce <--- 5b7b4ead <=== refs/t...
iOS White to Transparent Gradient Layer is Gray
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clearColor has a black color channel with an alpha of 0, so I had to use
[UIColor colorWithWhite:1 alpha:0]
and it works fine.
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Multiple aggregations of the same column using pandas GroupBy.agg()
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You can simply pass the functions as a list:
In [20]: df.groupby("dummy").agg({"returns": [np.mean, np.sum]})
Out[20]:
mean sum
dummy
1 0.036901 0.369012
or as a dictionary:
In [21]: df.groupby('dummy').agg({'returns':
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