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A weighted version of random.choice

... Since version 1.7.0, NumPy has a choice function that supports probability distributions. from numpy.random import choice draw = choice(list_of_candidates, number_of_items_to_pick, p=probability_distribution) Note that probabi...
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From ND to 1D arrays

...c = a.flatten() If you just want an iterator, use np.ndarray.flat: In [20]: d = a.flat In [21]: d Out[21]: <numpy.flatiter object at 0x8ec2068> In [22]: list(d) Out[22]: [1, 2, 3, 4, 5, 6] share | ...
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pyplot scatter plot marker size

...xamples and the output they produce. # doubling the width of markers x = [0,2,4,6,8,10] y = [0]*len(x) s = [20*4**n for n in range(len(x))] plt.scatter(x,y,s=s) plt.show() gives Notice how the size increases very quickly. If instead we have # doubling the area of markers x = [0,2,4,6,8,10] y ...
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How can I scale the content of an iframe?

...ra and Safari if you change the CSS to: <style> #wrap { width: 600px; height: 390px; padding: 0; overflow: hidden; } #frame { width: 800px; height: 520px; border: 1px solid black; } #frame { -ms-zoom: 0.75; -moz-transform: scale(0.75); -moz-transform-origin...
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How do write IF ELSE statement in a MySQL query

... 150 You probably want to use a CASE expression. They look like this: SELECT col1, col2, (case when...
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Git Extensions: Win32 error 487: Couldn't reserve space for cygwin's heap, Win32 error 0

... Dyin 6,91066 gold badges3939 silver badges5959 bronze badges answered Aug 29 '13 at 6:03 Greg HewgillGreg Hewg...
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How many double numbers are there between 0.0 and 1.0?

...e), there will therefore be 2 to the 52th power different doubles (i.e., 4503599627370496 of them). For example, that's the number of distinct doubles between 0.5 included and 1.0 excluded, and exactly that many also lie between 1.0 included and 2.0 excluded, and so forth. Counting the doubles bet...
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Find the max of two or more columns with pandas

...df = pd.DataFrame({"A": [1,2,3], "B": [-2, 8, 1]}) >>> df A B 0 1 -2 1 2 8 2 3 1 >>> df[["A", "B"]] A B 0 1 -2 1 2 8 2 3 1 >>> df[["A", "B"]].max(axis=1) 0 1 1 8 2 3 and so: >>> df["C"] = df[["A", "B"]].max(axis=1) >>> df ...
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Sort a list by multiple attributes?

...| edited Apr 24 '18 at 22:05 smci 23k1414 gold badges9393 silver badges134134 bronze badges answered Nov...
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How to catch integer(0)?

Let's say we have a statement that produces integer(0) , e.g. 6 Answers 6 ...