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Iterate a list with indexes in Python

...ld swear I've seen the function (or method) that takes a list, like this [3, 7, 19] and makes it into iterable list of tuples, like so: [(0,3), (1,7), (2,19)] to use it instead of: ...
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How do you detect where two line segments intersect? [closed]

...ntersect. Credit: this method is the 2-dimensional specialization of the 3D line intersection algorithm from the article "Intersection of two lines in three-space" by Ronald Goldman, published in Graphics Gems, page 304. In three dimensions, the usual case is that the lines are skew (neither paral...
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Find element's index in pandas Series

... >>> myseries[myseries == 7] 3 7 dtype: int64 >>> myseries[myseries == 7].index[0] 3 Though I admit that there should be a better way to do that, but this at least avoids iterating and looping through the object and moves it to the C level....
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Creating dataframe from a dictionary where entries have different lengths

... 134 In Python 3.x: import pandas as pd import numpy as np d = dict( A = np.array([1,2]), B = np.ar...
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Group by multiple columns in dplyr, using string vector input

...e so: data = data.frame( asihckhdoydkhxiydfgfTgdsx = sample(LETTERS[1:3], 100, replace=TRUE), a30mvxigxkghc5cdsvxvyv0ja = sample(LETTERS[1:3], 100, replace=TRUE), value = rnorm(100) ) # get the columns we want to average within columns = names(data)[-3] library(dplyr) df1 <- data %...
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How to catch integer(0)?

... answered Jun 23 '11 at 8:30 Gavin SimpsonGavin Simpson 152k2424 gold badges354354 silver badges415415 bronze badges ...
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Difference between decimal, float and double in .NET?

... 2310 float and double are floating binary point types. In other words, they represent a number like...
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How does numpy.histogram() work?

... 3 Answers 3 Active ...
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Understanding “randomness”

... | edited May 23 '17 at 12:10 Community♦ 111 silver badge answered Oct 18 '10 at 4:03 ...
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MySQL - Rows to Columns

...---------+ | 1 | A | 10 | | 1 | B | 3 | | 2 | A | 9 | | 2 | C | 40 | +--------+----------+-----------+ This will be our goal, the pretty pivot table: select * from history_itemvalue_pivot; +--------+------+------+-----...