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How should I do to divide years in half a year in this case if running in Python code?
I wasn't sure if you wanted horizontal or vertical divisions so I gave you both.
More practically, maybe this answer will help?
Creating numpy linspace out of datetime
You can specify start and end date and the number of divisions.
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Problem: http://usaco.org/index.php?page=viewproblem2&cpid=664 (USACO 2016 Bronze December)
So is this problem generally asking how many of each letter are in all the words together; meaning it is asking to print how many a's there are in all the terms together, how many b's are all together, etc.?
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is it possible to somehow put before.rules and after.sales into two arrays, then compare the number of elements in them and subtract not their number, but the elements, so that the rest can be output later?
example
To compare the lengths of two lists, you can:
>>> print(len(after.roles)-len(before.roles))
3
In this example 3 new roles were gained
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df['Total']= df.iloc[3:5].sum(axis=1)
returns NaN for some most values, why is this? They are all intergers.
Also is there a better way of doing this?
Check with add with columns slice
df['Total'] = df.iloc[:, 3:5].sum(axis=1)
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I want to know the number of possible combinations to fill an array that contains 25 boxes (array 5*5) which can be fill with 2 symbols (0 or 1). How can I do this?
Thanks in advance.
def combinations(S,K):
return S**K;
Since there are 25 bits here, your answer is 2^25 = 33554432
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How would I use the dataset at http://oceancolor.gsfc.nasa.gov/DOCS/DistFromCoast/ to efficiently determine the distance of a given coordinate (lat,lng) to the nearest coastline?
It's quite a large file. Is there a library that can help with processing this kind of data?