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Removing white space around a saved image in matplotlib

...lab flag.) plt.gca().set_axis_off() plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0, hspace = 0, wspace = 0) plt.margins(0,0) plt.gca().xaxis.set_major_locator(plt.NullLocator()) plt.gca().yaxis.set_major_locator(plt.NullLocator()) plt.savefig("filename.pdf", bbox_inches =...
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Understanding slice notation

... answered Feb 3 '09 at 22:48 Greg HewgillGreg Hewgill 783k167167 gold badges10841084 silver badges12221222 bronze badges ...
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Android Gradle plugin 0.7.0: “duplicate files during packaging of APK”

Using Android Gradle plugin 0.7.0 with the following build.gradle : 20 Answers 20 ...
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Return index of greatest value in an array

... works on old browsers: function indexOfMax(arr) { if (arr.length === 0) { return -1; } var max = arr[0]; var maxIndex = 0; for (var i = 1; i < arr.length; i++) { if (arr[i] > max) { maxIndex = i; max = arr[i]; } } ...
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What is the difference between BIT and TINYINT in MySQL?

... answered Nov 14 '08 at 14:39 Robert GambleRobert Gamble 94.3k2121 gold badges139139 silver badges135135 bronze badges ...
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C# 5 async CTP: why is internal “state” set to 0 in generated code before EndAwait call?

...t. Many thanks to him - and please visit his blog, which rocks. The value 0 here is only special because it's not a valid state which you might be in just before the await in a normal case. In particular, it's not a state which the state machine may end up testing for elsewhere. I believe that usin...
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ValueError: math domain error

... | edited Sep 3 '17 at 20:49 answered Apr 8 '13 at 23:06 ...
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How do I catch a numpy warning like it's an exception (not just for testing)?

... 205 It seems that your configuration is using the print option for numpy.seterr: >>> impo...
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Wildcards in a Windows hosts file

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Pandas dataframe get first row of each group

...column: >>> df.groupby('id').first().reset_index() id value 0 1 first 1 2 first 2 3 first 3 4 second 4 5 first 5 6 first 6 7 fourth To get n first records, you can use head(): >>> df.groupby('id').head(2).reset_index(drop=True) id value 0 ...