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Python - Create list with numbers between 2 values?

... Use range. In Python 2.x it 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, ...
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How to find list intersection?

...y about duplicates then you can use set intersection: >>> a = [1,2,3,4,5] >>> b = [1,3,5,6] >>> list(set(a) & set(b)) [1, 3, 5] share | improve this answer ...
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Reverse Range in Swift

...sed() method on a range for i in (1...5).reversed() { print(i) } // 5 4 3 2 1 Or stride(from:through:by:) method for i in stride(from:5,through:1,by:-1) { print(i) } // 5 4 3 2 1 stide(from:to:by:) is similar but excludes the last value for i in stride(from:5,to:0,by:-1) { print(i) } // 5 4 3...
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Could not calculate build plan: Plugin org.apache.maven.plugins:maven-resources-plugin:2.5 or one of

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How to calculate the number of occurrence of a given character in each row of a column of strings?

...a") q.data # number string number.of.a #1 1 greatgreat 2 #2 2 magic 1 #3 3 not 0 share | improve this answer | ...
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How to insert element into arrays at specific position?

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How can I check if a program exists from a Bash script?

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numpy: most efficient frequency counts for unique values in an array

...ence/generated/numpy.bincount.html import numpy as np x = np.array([1,1,1,2,2,2,5,25,1,1]) y = np.bincount(x) ii = np.nonzero(y)[0] And then: zip(ii,y[ii]) # [(1, 5), (2, 3), (5, 1), (25, 1)] or: np.vstack((ii,y[ii])).T # array([[ 1, 5], [ 2, 3], [ 5, 1], [25, ...
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dropping infinite values from dataframes in pandas?

... dropna: df.replace([np.inf, -np.inf], np.nan).dropna(subset=["col1", "col2"], how="all") For example: In [11]: df = pd.DataFrame([1, 2, np.inf, -np.inf]) In [12]: df.replace([np.inf, -np.inf], np.nan) Out[12]: 0 0 1 1 2 2 NaN 3 NaN The same method would work for a Series. ...
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adding noise to a signal in python

... 122 You can generate a noise array, and add it to your signal import numpy as np noise = np.rando...