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How to reshape data from long to wide format
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answered May 4 '11 at 23:20
ChaseChase
59.5k1515 gold badges131131 silver badges157157 bronze badges
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Find element's index in pandas Series
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10 Answers
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Active
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Regex to validate password strength
...itive look ahead assertions:
^(?=.*[A-Z].*[A-Z])(?=.*[!@#$&*])(?=.*[0-9].*[0-9])(?=.*[a-z].*[a-z].*[a-z]).{8}$
Rubular link
Explanation:
^ Start anchor
(?=.*[A-Z].*[A-Z]) Ensure string has two uppercase letters.
(?=.*[!@#$&*]) Ensure string ha...
How do I achieve the theoretical maximum of 4 FLOPs per cycle?
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+150
I've done this exact task before. But it was mainly to measure power consumption and CPU temperatures. The following code (which is fa...
How would I get a cron job to run every 30 minutes?
I'm looking to add a crontab entry to execute a script every 30 minutes, on the hour and 30 minutes past the hour or something close. I have the following, but it doesn't seem to run on 0.
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Can I change the viewport meta tag in mobile safari on the fly?
...]");
viewport.setAttribute('content', 'width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0');
Just change the parts you need and Mobile Safari will respect the new settings.
Update:
If you don't already have the meta viewport tag in the source, you can append it directly wi...
Change column type from string to float in Pandas
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+200
You have four main options for converting types in pandas:
to_numeric() - provides functionality to safely convert non-numeric types...
How to define different dependencies for different product flavors
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190
To define a flavor specific dependency you can use proCompile instead of compile in your depende...
Empty arrays seem to equal true and false at the same time
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d_ethier
3,6042020 silver badges3030 bronze badges
answered Mar 30 '11 at 20:10
wildcardwildcard
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Reduce left and right margins in matplotlib plot
...E.g.
import matplotlib.pyplot as plt
import numpy as np
data = np.arange(3000).reshape((100,30))
plt.imshow(data)
plt.savefig('test.png', bbox_inches='tight')
Another way is to use fig.tight_layout()
import matplotlib.pyplot as plt
import numpy as np
xs = np.linspace(0, 1, 20); ys = np.sin(xs)
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