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Pandas every nth row

... 207 I'd use iloc, which takes a row/column slice, both based on integer position and following norm...
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Which is faster in Python: x**.5 or math.sqrt(x)?

... math.sqrt(x) is significantly faster than x**0.5. import math N = 1000000 %%timeit for i in range(N): z=i**.5 10 loops, best of 3: 156 ms per loop %%timeit for i in range(N): z=math.sqrt(i) 10 loops, best of 3: 91.1 ms per loop Using Python 3.6....
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Is there a NumPy function to return the first index of something in an array?

...mensions and it contained your item at two locations then array[itemindex[0][0]][itemindex[1][0]] would be equal to your item and so would array[itemindex[0][1]][itemindex[1][1]] numpy.where share | ...
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Wolfram's Rule 34 in XKCD [closed]

The hover "joke" in #505 xkcd touts "I call rule 34 on Wolfram's Rule 34". 12 Answers ...
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Java - get pixel array from image

...ation I was able to reduce the time of processing the pixels by more than 90% by just switching from the first approach to the second! Here is a comparison I've setup to compare the two approaches: import java.awt.image.BufferedImage; import java.awt.image.DataBufferByte; import java.io.IOExceptio...
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Pandas get topmost n records within each group

... >>> df.groupby('id').head(2) id value id 1 0 1 1 1 1 2 2 3 2 1 4 2 2 3 7 3 1 4 8 4 1 (Keep in mind that you might need to order/sort before, depending on your data) EDIT: As mentioned by the questioner, use df.gro...
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How to fix the uninitialized constant Rake::DSL problem on Heroku?

... 205 Put this in your Rakefile above require 'rake': require 'rake/dsl_definition' ...
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How to get a value from a cell of a dataframe?

...ue using the column name: In [3]: sub_df Out[3]: A B 2 -0.133653 -0.030854 In [4]: sub_df.iloc[0] Out[4]: A -0.133653 B -0.030854 Name: 2, dtype: float64 In [5]: sub_df.iloc[0]['A'] Out[5]: -0.13365288513107493 ...
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Minimizing NExpectation for a custom distribution in Mathematica

...f we plot pdf2 it looks exactly as your Plot Plot[pdf2[3.77, 1.34, -2.65, 0.40, x], {x, 0, .3}] Now to the expected value. If I understand it correctly we have to integrate x * pdf[x] from -inf to +inf for a normal expected value. x * pdf[x] looks like Plot[pdf2[3.77, 1.34, -2.65, 0.40, x]*x...
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Check if character is number?

... 70 You could use comparison operators to see if it is in the range of digit characters: var c = ju...