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Inline labels in Matplotlib
In Matplotlib, it's not too tough to make a legend ( example_legend() , below), but I think it's better style to put labels right on the curves being plotted (as in example_inline() , below). This can be very fiddly, because I have to specify coordinates by hand, and, if I re-format the plot, I pro...
Pythonic way to combine FOR loop and IF statement
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You can use generator expressions like this:
gen = (x for x in xyz if x not in a)
for x in gen:
print x
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How to manually create icns files using iconutil?
...nset
Since the path contains spaces, you need to use double quotes, for example:
iconutil -c icns "/Users/myname/SDK Mac Apps/MyApp/grafica/icon.iconset"
This command should work properly.
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Sort points in clockwise order?
Given an array of x,y points, how do I sort the points of this array in clockwise order (around their overall average center point)? My goal is to pass the points to a line-creation function to end up with something looking rather "solid", as convex as possible with no lines intersecting.
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How to detect if a function is called as constructor?
...nce.
Looking at the ECMAScript 3rd edition spec, the steps taken when new x() is called are essentially:
Create a new object
Assign its internal [[Prototype]] property to the prototype property of x
Call x as normal, passing it the new object as this
If the call to x returned an object, return it...
Converting int to bytes in Python 3
...es on an iterable instead of a single integer:
>>> bytes([3])
b'\x03'
The docs state this, as well as the docstring for bytes:
>>> help(bytes)
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bytes(int) -> bytes object of size given by the parameter initialized with null bytes
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data.frame rows to a list
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Like this:
xy.list <- split(xy.df, seq(nrow(xy.df)))
And if you want the rownames of xy.df to be the names of the output list, you can do:
xy.list <- setNames(split(xy.df, seq(nrow(xy.df))), rownames(xy.df))
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Python matplotlib multiple bars
...e red can be seen only.
How can I plot the multiple bars with dates on the x-axes?
5 Answers
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Remove columns from dataframe where ALL values are NA
... more memory and time efficient
An approach using Filter
Filter(function(x)!all(is.na(x)), df)
and an approach using data.table (for general time and memory efficiency)
library(data.table)
DT <- as.data.table(df)
DT[,which(unlist(lapply(DT, function(x)!all(is.na(x))))),with=F]
examples usi...
Unicode character in PHP string
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Because JSON directly supports the \uxxxx syntax the first thing that comes into my mind is:
$unicodeChar = '\u1000';
echo json_decode('"'.$unicodeChar.'"');
Another option would be to use mb_convert_encoding()
echo mb_convert_encoding('&#x1000;', 'UTF-8...