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RE: How to read output file .dat using python ?

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Arthur Mouragues, modified 3 Years ago.

How to read output file .dat using python ?

Capillary Posts: 4 Join Date: 2/10/16 Recent Posts
Hello all,

I'd like to know how to read output f90 data (file.dat) using python. Is there any python toolbox built for XBeach ?

Thank you in advance.

Arthur
Arnold van Rooijen, modified 3 Years ago.

RE: How to read output file .dat using python ?

Swell Posts: 239 Join Date: 11/7/11 Recent Posts
Hi Arthur,

Not that I know of, but if you are familiar with both Matlab and Python it should be relatively easy to 'translate' some of teh Xbeach Matlab Toolbox to Python. In case you are planning to do this, it would be great if you could share your tools with the community by uploading them to OpenEarth Tools emoticon

Cheers,
Arnold
NL
nate liv, modified 1 Year ago.

RE: How to read output file .dat using python ?

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You can create own function with using "with" statement. But for this, Your class must add to __exit__function. For example,

http://stackoverflow...-in-python-exit

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arso martinera, modified 1 Year ago.

RE: How to read output file .dat using python ?

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I am having some trouble accessing it. Whenever I try to open the mmWave_Demo_Visualizer_Record_2.0.0 application on my desktop, it fails since it cannot locate the "launcher.exe" file. It seems like the package available for download is incomplete.  Just to be sure, I checked the folder of the normal demo visualizer mmWave_Demo_Visualizer_2.0.0 (which is working) and saw that a launcher.exe file for that application indeed exists. For whatever reason the mmWave_Demo_Visualizer_Record_2.0.0 application does not install in full as it is supposed to. Perhaps this is something that TI needs to fix? I understand this could all be solved by using the online version of the visualizer that you linked to, but that is not an option for me given my admin privilege (or lack thereof) on the PC I'm using. 


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noura henidi, modified 1 Year ago.

RE: How to read output file .dat using python ?

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Hi,

I also dont know but I have a suggestion UC Browser, SHAREit, MX Player: is it possible to use another file format : CSV or JSON.

That would be really really easy to write a really quick parser for these file formats.

RR
Ranuka Royu, modified 7 Days ago.

RE: How to read output file .dat using python ?

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nicky jassen, modified 6 Months ago.

RE: How to read output file .dat using python ?

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johnson eater, modified 5 Months ago.

RE: How to read output file .dat using python ?

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Mary Wagner, modified 4 Months ago.

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Barry allen, modified 4 Months ago.

RE: How to read output file .dat using python ?

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Daniel Danny, modified 3 Months ago.

RE: How to read output file .dat using python ?

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RE: How to read output file .dat using python ?

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It is pretty simple, open the file using the open() method, read the file line by line using the readline() method, and outputting the line immediately after reading. In use here is a while loop that continuously reads from the file as long as the readline() method keeps returning data.
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Linda Sutton, modified 3 Months ago.

RE: How to read output file .dat using python ?

Capillary Posts: 1 Join Date: 1/7/20 Recent Posts
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RE: How to read output file .dat using python ?

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RE: How to read output file .dat using python ?

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Smith Clarkson, modified 25 Days ago.

RE: How to read output file .dat using python ?

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I would use 
numpy.loadtxt
 for reading input, but only because post-processing would also need numpy. You can read all your data to memory, then find the separator lines, then reshape the rest of your data to fit your number of particles. The following assumes that none of the particles ever reach exactly 
x=-9999
, which should be a reasonable (although not foolproof) assumption.
[code]import numpy as np
filename = 'input.dat'
indata = np.loadtxt(filename, usecols=(0,1)) # make sure the rest is ignored
tlines_bool = indata[:,0]==-9999
Nparticles = np.diff(np.where(tlines_bool)[0][:2])[0] - 1
# TODO: error handling: diff(np.where(tlines_bool)) should be constant
times = indata[tlines_bool,1]
positions = indata[np.logical_not(tlines_bool),:].reshape(-1,Nparticles,2)
The above code produces an 
Nt
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times
 and an array 
position
 of shape 
(Nt,Nparticles,2)
 for each particle's 2d position at each time step. By computing the number of particles, we can let numpy determine the size of the first dimension (this iswhat the 
-1
 index in 
reshape()
 is for).For plotting you just have to slice into your 
positions
 array to extract what you exactly need. In case of 2d 
x
 data and 2d 
y
 data, 
matplotlib.pyplot.plot()
 will automatically try to plot the columns of the input arrays as a function of each other. Here's an example of how you can visualize, using your actual input data:
[code]import matplotlib.pyplot as plt
t_indices = slice(None,None,500)  # every 500th time step
particle_indices = slice(None)    # every particle
#particle_indices = slice(None,5)   # first 5 particles
#particle_indices = slice(-5,None)  # last 5 particles

plt.figure()
_ = plt.plot(times[myslice],positions[myslice,particle_indices,0])
plt.xlabel('t')
plt.ylabel('x')

plt.figure()
_ = plt.plot(times[myslice],positions[myslice,particle_indices,1])
plt.xlabel('t')
plt.ylabel('z')

plt.figure()
_ = plt.plot(positions[myslice,particle_indices,0],positions[myslice,particle_indices,1])
plt.xlabel('x')
plt.ylabel('z')
plt.show()
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Shaik jeelan, modified 25 Days ago.

RE: How to read output file .dat using python ?

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