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how does array[100] = {0} set the entire array to 0?
How does the compiler fill values in char array[100] = {0}; ? What's the magic behind it?
4 Answers
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Understanding slice notation
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answered Feb 3 '09 at 22:48
Greg HewgillGreg Hewgill
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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 =...
ValueError: math domain error
... |
edited Sep 3 '17 at 20:49
answered Apr 8 '13 at 23:06
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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];
}
}
...
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...
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...
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 ...
Insert a row to pandas dataframe
...df.sort_index() # sorting by index
And you get, as desired:
A B C
0 2 3 4
1 5 6 7
2 7 8 9
See in Pandas documentation Indexing: Setting with enlargement.
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