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map function for objects (instead of arrays)

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How to round to 2 decimals with Python?

... answered Dec 8 '13 at 18:20 roliszrolisz 5,41011 gold badge1515 silver badges1414 bronze badges ...
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Pandas: create two new columns in a dataframe with values calculated from a pre-existing column

... from pandas import * In [2]: def calculate(x): ...: return x*2, x*3 ...: In [3]: df = DataFrame({'a': [1,2,3], 'b': [2,3,4]}) In [4]: df Out[4]: a b 0 1 2 1 2 3 2 3 4 In [5]: df["A1"], df["A2"] = zip(*df["a"].map(calculate)) In [6]: df Out[6]: a b A1 A2 0 1 2 2...
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How to group dataframe rows into list in pandas groupby?

..., 'b':[1,2,5,5,4,6]}) df Out[1]: a b 0 A 1 1 A 2 2 B 5 3 B 5 4 B 4 5 C 6 In [2]: df.groupby('a')['b'].apply(list) Out[2]: a A [1, 2] B [5, 5, 4] C [6] Name: b, dtype: object In [3]: df1 = df.groupby('a')['b'].apply(list).reset_index(name='new') ...
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Concatenate two slices in Go

I'm trying to combine the slice [1, 2] and the slice [3, 4] . How can I do this in Go? 7 Answers ...
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Python - Create list with numbers between 2 values?

...t returns a list so all you need is: >>> range(11, 17) [11, 12, 13, 14, 15, 16] In Python 3.x range is a iterator. So, you need to convert it to a list: >>> list(range(11, 17)) [11, 12, 13, 14, 15, 16] Note: The second number is exclusive. So, here it needs to be 16+1 = 17 E...
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Implement Stack using Two Queues

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Pickle incompatibility of numpy arrays between Python 2 and 3

I am trying to load the MNIST dataset linked here in Python 3.2 using this program: 7 Answers ...
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Waiting until two async blocks are executed before starting another block

... 305 Use dispatch groups: see here for an example, "Waiting on Groups of Queued Tasks" in the "Disp...
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How to calculate moving average using NumPy?

... 173 If you just want a straightforward non-weighted moving average, you can easily implement it with...