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Map Tiling Algorithm
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+50
The basic idea of this algorithm is to use a pre-processing step to find all edges and then select the correct smoothing tile accordin...
Convert pandas dataframe to NumPy array
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409
To convert a pandas dataframe (df) to a numpy ndarray, use this code:
df.values
array([[nan, ...
Normalize data in pandas
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In [92]: df
Out[92]:
a b c d
A -0.488816 0.863769 4.325608 -4.721202
B -11.937097 2.993993 -12.916784 -1.086236
C -5.569493 4.672679 -2.168464 -9.315900
D 8.892368 0.932785 4.535396 0.598124
In [93]: df_norm = (df - df.mean()) / (df.max() - df...
pandas DataFrame: replace nan values with average of columns
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10 Answers
10
Active
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Are list-comprehensions and functional functions faster than “for loops”?
...el loop:
>>> dis.dis(<the code object for `[x for x in range(10)]`>)
1 0 BUILD_LIST 0
3 LOAD_FAST 0 (.0)
>> 6 FOR_ITER 12 (to 21)
9 STORE_FAST 1 (x)
12 LOAD_FAST...
how does multiplication differ for NumPy Matrix vs Array classes?
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Neil G
27.5k3030 gold badges127127 silver badges228228 bronze badges
answered Oct 8 '10 at 16:49
Joe KingtonJoe Ki...
jQuery animate backgroundColor
... g.elem.style[e] = "rgb(" + [Math.max(Math.min(parseInt((g.pos * (g.end[0] - g.start[0])) + g.start[0]), 255), 0), Math.max(Math.min(parseInt((g.pos * (g.end[1] - g.start[1])) + g.start[1]), 255), 0), Math.max(Math.min(parseInt((g.pos * (g.end[2] - g.start[2])) + g.start[2]), 255), 0)].join(",") ...
cartesian product in pandas
...f1, df2,on='key')[['col1', 'col2', 'col3']]
Output:
col1 col2 col3
0 1 3 5
1 1 3 6
2 2 4 5
3 2 4 6
See here for the documentation: http://pandas.pydata.org/pandas-docs/stable/merging.html#brief-primer-on-merge-methods-relational-algebra
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User recognition without cookies or local storage
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+350
Introduction
If I understand you correctly, you need to identify a user for whom you don't have a Unique Identifier, so you want to f...
How to convert floats to human-readable fractions?
Let's say we have 0.33 , we need to output 1/3 .
If we have 0.4 , we need to output 2/5 .
26 Answers
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