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How to create a colored 1x1 UIImage on the iPhone dynamically?
...c image(with color: UIColor) -> UIImage {
let rect = CGRectMake(0.0, 0.0, 1.0, 1.0)
UIGraphicsBeginImageContext(rect.size)
let context = UIGraphicsGetCurrentContext()
CGContextSetFillColorWithColor(context, color.CGColor)
CGContextFillRect(context, rect)
...
Add one row to pandas DataFrame
...n range(5):
>>> df.loc[i] = ['name' + str(i)] + list(randint(10, size=2))
>>> df
lib qty1 qty2
0 name0 3 3
1 name1 2 4
2 name2 2 8
3 name3 2 1
4 name4 9 6
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How to check with javascript if connection is local host?
...e in.
if (location.hostname === "localhost" || location.hostname === "127.0.0.1")
alert("It's a local server!");
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How do I find out which process is locking a file using .NET?
...
answered Nov 25 '08 at 11:48
oriporip
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Convert list of dictionaries to a pandas DataFrame
...
1044
Supposing d is your list of dicts, simply:
df = pd.DataFrame(d)
Note: this does not work with...
Git Extensions: Win32 error 487: Couldn't reserve space for cygwin's heap, Win32 error 0
...
Dyin
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answered Aug 29 '13 at 6:03
Greg HewgillGreg Hewg...
0.1 float is greater than 0.1 double. I expected it to be false [duplicate]
...loat. float has 24 binary bits of precision, and double has 53. In binary, 0.1 is:
0.1₁₀ = 0.0001100110011001100110011001100110011001100110011…₂
^ ^ ^ ^
1 10 20 24
So if we round up at the 24th digit, we'll get
0.1₁₀ ~ 0.00011...
How do you create a yes/no boolean field in SQL server?
...
The equivalent is a BIT field.
In SQL you use 0 and 1 to set a bit field (just as a yes/no field in Access). In Management Studio it displays as a false/true value (at least in recent versions).
When accessing the database through ASP.NET it will expose the field as a b...
Bin size in Matplotlib (Histogram)
... boundaries. They can be unequally distributed, too:
plt.hist(data, bins=[0, 10, 20, 30, 40, 50, 100])
If you just want them equally distributed, you can simply use range:
plt.hist(data, bins=range(min(data), max(data) + binwidth, binwidth))
Added to original answer
The above line works for...
Frequency table for a single variable
...es = pandas.Series([1,2,2,3,3,3, "fred", 1.8, 1.8])
>>> my_series
0 1
1 2
2 2
3 3
4 3
5 3
6 fred
7 1.8
8 1.8
>>> counts = my_series.value_counts()
>>> counts
3 3
2 2
1.8 2
fred 1
1 1
>>> len(c...