magnitude

Python Pylab, how to alter the size of the label specifying the magnitude of the axes

99封情书 提交于 2021-02-17 02:09:03
问题 I am attempting to plot differential cross-sections of nuclear decays and so the magnitudes of the y-axis are around 10^-38 (m^2) pylab as default plots the axis as 0.0,0.2,0.4... etc and has a '1e-38' at the top of the y-axis. I need to increase the font size of just this little bit, I have tried adjusting the label size py.tick_params(axis='y', labelsize=20) but this only adjusts the labels 0.0,0.2,0.4.... Many thanks for all help 回答1: You can access the text object using the ax.yaxis.get

Python Pylab, how to alter the size of the label specifying the magnitude of the axes

最后都变了- 提交于 2021-02-17 02:08:12
问题 I am attempting to plot differential cross-sections of nuclear decays and so the magnitudes of the y-axis are around 10^-38 (m^2) pylab as default plots the axis as 0.0,0.2,0.4... etc and has a '1e-38' at the top of the y-axis. I need to increase the font size of just this little bit, I have tried adjusting the label size py.tick_params(axis='y', labelsize=20) but this only adjusts the labels 0.0,0.2,0.4.... Many thanks for all help 回答1: You can access the text object using the ax.yaxis.get

Python Pylab, how to alter the size of the label specifying the magnitude of the axes

做~自己de王妃 提交于 2021-02-17 02:07:02
问题 I am attempting to plot differential cross-sections of nuclear decays and so the magnitudes of the y-axis are around 10^-38 (m^2) pylab as default plots the axis as 0.0,0.2,0.4... etc and has a '1e-38' at the top of the y-axis. I need to increase the font size of just this little bit, I have tried adjusting the label size py.tick_params(axis='y', labelsize=20) but this only adjusts the labels 0.0,0.2,0.4.... Many thanks for all help 回答1: You can access the text object using the ax.yaxis.get

Python Pylab, how to alter the size of the label specifying the magnitude of the axes

懵懂的女人 提交于 2021-02-17 02:07:01
问题 I am attempting to plot differential cross-sections of nuclear decays and so the magnitudes of the y-axis are around 10^-38 (m^2) pylab as default plots the axis as 0.0,0.2,0.4... etc and has a '1e-38' at the top of the y-axis. I need to increase the font size of just this little bit, I have tried adjusting the label size py.tick_params(axis='y', labelsize=20) but this only adjusts the labels 0.0,0.2,0.4.... Many thanks for all help 回答1: You can access the text object using the ax.yaxis.get

range builder `r_` - slice with complex (but not imaginary) step; magnitude is used

爷,独闯天下 提交于 2020-01-09 11:52:15
问题 Playing with the NumPy concatenation and range building object r_ I stumbled over the following behavior: apparently, a complex step no matter whether real, imaginary or proper complex has its absolute value taken as the number of steps in a linspace like way. >>> import numpy as np >>> >>> np.r_[0:12:4] # start : stop : step array([0, 4, 8]) # that's expected >>> np.r_[0:12:4j] # start : stop : imaginary step array([ 0., 4., 8., 12.]) # that's in the docs >>> np.r_[0:12:4+0j] # real step of

Is this Fourier Analysis of Luminance Signals Correct? (Android)

回眸只為那壹抹淺笑 提交于 2019-12-13 08:40:59
问题 I'm writing an Android app that measures the luminance of camera frames over a period of time and calculates a heart beat using Fourier Analysis to find the wave's frequency. The problem is that my spectral analysis looks like this: which is pretty much the inverse of what a spectral analysis should look like (like a normal distribution). Can I accurately assess this to find the index of the maximum magnitude, or does this spectrum reveal that my data is too noisy? EDIT: Here's what my camera

Google Cloud Natural Language API - How is document magnitude calculated?

牧云@^-^@ 提交于 2019-12-11 18:22:48
问题 I am currently working with the Google Cloud Natural Language API and need to know how the magnitude value for a whole document (consisting of several sentences) is calculated? For the document sentiment score the average of the scores for each sentence is taken. For the document magnitude I would have assumed that it's calculated by taking the absolute sum of the individual magnitude values for each sentence. But after testing some paragraphs it's clear that it's not the correct way to

High Pass Filter using FFTW in C

不羁的心 提交于 2019-12-08 07:42:29
问题 I have a question regarding FFT. I already manage to do FFT forward and backward using FFTW in C. Now, I want to apply high pass filter for edge detection, some of my source said that just zeroing the centre of the magnitude. This is my input image http://i62.tinypic.com/2wnxvfl.jpg Basically what I do are : Forward FFT Convert the output to 2D array Do forward FFT shifting Make the real and imag value to 0 when the distance from the centre is 25% of the height Generate the magnitude Do

range builder `r_` - slice with complex (but not imaginary) step; magnitude is used

瘦欲@ 提交于 2019-11-28 14:08:10
Playing with the NumPy concatenation and range building object r_ I stumbled over the following behavior: apparently, a complex step no matter whether real, imaginary or proper complex has its absolute value taken as the number of steps in a linspace like way. >>> import numpy as np >>> >>> np.r_[0:12:4] # start : stop : step array([0, 4, 8]) # that's expected >>> np.r_[0:12:4j] # start : stop : imaginary step array([ 0., 4., 8., 12.]) # that's in the docs >>> np.r_[0:12:4+0j] # real step of complex type ? array([ 0., 4., 8., 12.]) # this is not as far as I can tell # you can even do stuff