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Elastic Search: how to see the indexed data
...ing on your local machine), open a browser window to:
http://localhost:9200/_plugin/head/
Alternatively, you can just use curl from the command line, eg:
Check the mapping for an index:
curl -XGET 'http://127.0.0.1:9200/my_index/_mapping?pretty=1'
Get some sample docs:
curl -XGET 'http:...
Delete topic in Kafka 0.8.1.1
I need to delete the topic test in Apache Kafka 0.8.1.1.
14 Answers
14
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SSH library for Java [closed]
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answered Jun 15 '09 at 14:27
David RabinowitzDavid Rabinowitz
27.2k1313 gold badges8585 silver badges123123 bronze badges
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How to catch integer(0)?
Let's say we have a statement that produces integer(0) , e.g.
6 Answers
6
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How to apply a function to two columns of Pandas dataframe
...dex the Series to get the values needed.
In [49]: df
Out[49]:
0 1
0 1.000000 0.000000
1 -0.494375 0.570994
2 1.000000 0.000000
3 1.876360 -0.229738
4 1.000000 0.000000
In [50]: def f(x):
....: return x[0] + x[1]
....:
In [51]: df.apply(f, axis=1) #passes...
How can I remove the decimal part from JavaScript number?
...
403
You could use...
Math.trunc() (truncate fractional part, also see below)
Math.floor() (round ...
Delete element in a slice
... arguments to a variadic function.
So what this line does:
a = append(a[:0], a[1:]...)
is essentially:
a = append(a[:0], a[1], a[2])
Now, you may be wondering, why not just do
a = append(a[1:]...)
Well, the function definition of append is
func append(slice []Type, elems ...Type) []Type
...
How to crop an image in OpenCV using Python
...)
crop_img = img[y:y+h, x:x+w]
cv2.imshow("cropped", crop_img)
cv2.waitKey(0)
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How do I get indices of N maximum values in a NumPy array?
... |
edited Aug 2 '11 at 10:45
answered Aug 2 '11 at 10:32
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Plot yerr/xerr as shaded region rather than error bars
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from matplotlib import pyplot as plt
import numpy as np
x = np.linspace(0, 30, 30)
y = np.sin(x/6*np.pi)
error = np.random.normal(0.1, 0.02, size=y.shape)
y += np.random.normal(0, 0.1, size=y.shape)
plt.plot(x, y, 'k-')
plt.fill_between(x, y-error, y+error)
plt.show()
See also the matplotlib...