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How can I map True/False to 1/0 in a Pandas DataFrame?

...rectly on Frames In [104]: df = DataFrame(dict(A = True, B = False),index=range(3)) In [105]: df Out[105]: A B 0 True False 1 True False 2 True False In [106]: df.dtypes Out[106]: A bool B bool dtype: object In [107]: df.astype(int) Out[107]: A B 0 1 0 1 1 0 2 ...
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NOT using repository pattern, use the ORM as is (EF)

...y pattern. I cannot stress this enough! This is something that one has to crawl through the mud to figure out. There will always be that one query that breaks your perfectly thought out repository/solution that you've created, and it's not until that point where you second guess yourself and the tec...
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How can I prevent the backspace key from navigating back?

...email", "number", "date", "color", "datetime", "datetime-local", "month", "range", "search", "tel", "time", "url", "week"]; var d = $(event.srcElement || event.target); var disabled = d.prop("readonly") || d.prop("disabled"); if (!disabled) { if (d[0].isContentEdi...
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Going to a specific line number using Less in Unix

... '320123'p filename This will print line number 320123. If you want a range then you can do - sed -n '320123,320150'p filename If you want from a particular line to the very end then - sed -n '320123,$'p filename ...
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How best to determine if an argument is not sent to the JavaScript function

...ethod is ideal - indeed, it is often used to quickly eliminate such a wide range of values from consideration. share | improve this answer | follow | ...
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Calculate last day of month in JavaScript

...ues as mine for years 1-4000. jsfiddle.net/2973x9m3/3 What additional date range are you claiming this will support (that would be of use)? :) – Gone Coding Feb 23 '15 at 20:04 ...
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hash function for string

...ash resolution) or else a power of 2 (so reducing the value to the correct range can be done with a simple bit-mask). share | improve this answer | follow | ...
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How to convert a NumPy array to PIL image applying matplotlib colormap

...value at 1.0. Apply the colormap directly to myarray. Rescale to the 0-255 range. Convert to integers, using np.uint8(). Use Image.fromarray(). And you're done: from PIL import Image from matplotlib import cm im = Image.fromarray(np.uint8(cm.gist_earth(myarray)*255)) with plt.savefig(): with...
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Selecting multiple columns in a pandas dataframe

...columns=list('ABCDEF'), index=['R{}'.format(i) for i in range(100)]) df.head() Out: A B C D E F R0 99 78 61 16 73 8 R1 62 27 30 80 7 76 R2 15 53 80 27 44 77 R3 75 65 47 30 84 86 R4 18 9 41 62 1 82 To get the columns from C to E ...
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DefaultInlineConstraintResolver Error in WebAPI 2

...", typeof(MinRouteConstraint) }, { "max", typeof(MaxRouteConstraint) }, { "range", typeof(RangeRouteConstraint) }, // Regex-based constraints { "alpha", typeof(AlphaRouteConstraint) }, { "regex", typeof(RegexRouteConstraint) } ...