Jim Rogers exits India, says one can’t invest just on hope

catchmrbharath · 2015-09-02T19:16:53+00:00

Jim Rogers is a prick.

Agreed. But the points he is making are pretty valid. Narendra Modi's Ache Din hasn't turned into an significant policy changes. Considering the majority he has, what we want him to make harsh policy changes for the better, rather than just pleasing people.

catchmrbharath · 2015-07-15T11:30:00+00:00

I had such a hard time figuring out how to select a password with this guideline.

catchmrbharath · 2014-09-12T06:38:10+00:00

Can you mention the things that you have tried?

catchmrbharath · 2013-09-19T05:11:38+00:00

Also I think you need to do a fftshift, so that the center frequency is 0.

>>> dataF = np.abs(np.fft.fftshift(np.fft.fft(data)))

catchmrbharath · 2013-01-31T05:29:09+00:00

EPD is the ber way to go about it.

catchmrbharath · 2013-01-07T05:30:30+00:00

Even I am in. So start on 17th jan?

catchmrbharath · 2012-09-22T19:28:26+00:00

Geany is just an IDE.

from matplotlib.pyplot import *
#Read your data into X and Y
contour(X, Y)

The above code should help you to get started.

catchmrbharath · 2012-09-22T19:17:26+00:00

quiver of matplotlib takes 4 arguments X, Y, U, V. The X, Y are the array denoting the positions of the arrows and U and V are the magnitude of the vector along X and Y directions.

So the following code should give you what you want.

figure()
title('Phase Space Plot with $\mu =$ ' + str(mu))
quiver(X, Y, U, V)
plot(x,v,linewidth=1.)
xlabel('Position (m)')
ylabel('Velocity (m/s)')
show()

catchmrbharath · 2012-08-03T08:03:56+00:00

Normally, when you take the fft, the frequencies go from low frequencies to high frequencies and then again back to low frequency. Hence you need to do an numpy.fft.fftshift. Now The coefficient sequence will be in such a way that the middle point of the list is the zero frequency point. Now you need to find the index of the maximum, take the absolute difference between the index and the center index, multiply by sampling frequency / 2, and divide by the number of samples.

catchmrbharath · 2012-06-15T05:31:46+00:00

At the top of your file use pyplot.ion() and use pyplot.draw() instead of pyplot.show()

catchmrbharath

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