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Converting numpy dtypes to native python types
...py as np
# for example, numpy.float32 -> python float
val = np.float32(0)
pyval = val.item()
print(type(pyval)) # <class 'float'>
# and similar...
type(np.float64(0).item()) # <class 'float'>
type(np.uint32(0).item()) # <class 'long'>
type(np.int16(0).item()) # <...
Ruby on Rails and Rake problems: uninitialized constant Rake::DSL
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A tweet from DHH earlier. Rake .9.0 breaks Rails and several other things, you need to:
gem "rake", "0.8.7"
in your Gemfile.
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Extract elements of list at odd positions
...l. The result will contain the elements placed on the following positions (0-based, so first element is at position 0, second at 1 etc.):
1, 3, 5
so the result (actual numbers) will be:
2, 4, 6
Explanation
The [1::2] at the end is just a notation for list slicing. Usually it is in the followi...
How to remove the first Item from a list?
I have the list [0, 1, 2, 3, 4] I'd like to make it into [1, 2, 3, 4] . How do I go about this?
10 Answers
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Change select box option background color
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10 Answers
10
Active
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Ruby, remove last N characters from a string?
..._suffix!('123') # => "abc"
It's even significantly faster (almost 40% with the bang method) than the top answer. Here's the result of the same benchmark:
user system total real
chomp 0.949823 0.001025 0.950848 ( 0.951941)
range ...
How to use if - else structure in a batch file?
... to d
copy "%sourceFile%" "%destinationFile%"
)
IF %F%==1 IF %C%==0 (
::moving the file c to d
move "%sourceFile%" "%destinationFile%"
)
IF %F%==0 IF %C%==1 (
::copying a directory c from d, /s: boş olanlar hariç, /e:boş olanlar dahil
xcopy "%sourceCopyDirectory%" "...
Decreasing for loops in Python impossible?
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220
for n in range(6,0,-1):
print n
# prints [6, 5, 4, 3, 2, 1]
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Find the most frequent number in a numpy vector
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edited Aug 5 at 18:08
B. Willems
1533 bronze badges
answered Jun 6 '11 at 13:01
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Creating a Pandas DataFrame from a Numpy array: How do I specify the index column and column headers
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350
You need to specify data, index and columns to DataFrame constructor, as in:
>>> pd.Da...