Difference between revisions of "UCVMC How to process bin data"
From SCECpedia
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| − | + | Binary data can be generated from UCVMC's plotting tool in python or by | |
| + | one of the UCVMC app that is written to work with the UCVMC api. | ||
== Plot == | == Plot == | ||
| + | |||
| + | This is horizontal Vs slice plot from UCVMC's plot_horizontal_slice.py | ||
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== metadata file == | == metadata file == | ||
meta data contains many fields. Some of the fields are specific to the type | meta data contains many fields. Some of the fields are specific to the type | ||
| − | of the plot that were made. This | + | of the plot that were made. This is a horizontal slice plot, therefore, it |
| + | contains the following metadata | ||
lon_list | lon_list | ||
| Line 40: | Line 40: | ||
[http://hypocenter.usc.edu/research/UCVM/cvmh_no_ely_gtl/cvmh_nogtl_vs_0_map_meta.json metadata in json] | [http://hypocenter.usc.edu/research/UCVM/cvmh_no_ely_gtl/cvmh_nogtl_vs_0_map_meta.json metadata in json] | ||
| + | |||
| + | == bin data file == | ||
| + | |||
| + | The binary data is written out as array of float32. It can be imported with numpy | ||
| + | in python, | ||
| + | |||
| + | <pre> | ||
| + | import numpy as np | ||
| + | fh = open(rawfile, 'r') | ||
| + | floats = np.fromfile(fh, dtype=np.float32) | ||
| + | </pre> | ||
| + | |||
| + | and fill into the 2D array as, | ||
| + | |||
| + | <pre> | ||
| + | datapoints = np.arange(num_x * num_y,dtype=np.float32).reshape(num_y, num_x) | ||
| + | i=0 | ||
| + | j=0 | ||
| + | for f in floats: | ||
| + | datapoints[i][j] = f | ||
| + | j = j + 1 | ||
| + | if j >= num_x: | ||
| + | j = 0 | ||
| + | i = i + 1 | ||
| + | </pre> | ||
| + | |||
| + | |||
| + | [http://hypocenter.usc.edu/research/UCVM/cvmh_no_ely_gtl/cvmh_nogtl_vs_0_map_data.bin binary data] | ||
| + | |||
== Related Entries == | == Related Entries == | ||
*[[CVM-H 15.1 Maps]] | *[[CVM-H 15.1 Maps]] | ||
*[[UCVM]] | *[[UCVM]] | ||
Revision as of 22:28, 3 July 2018
Binary data can be generated from UCVMC's plotting tool in python or by one of the UCVMC app that is written to work with the UCVMC api.
Plot
This is horizontal Vs slice plot from UCVMC's plot_horizontal_slice.py
metadata file
meta data contains many fields. Some of the fields are specific to the type of the plot that were made. This is a horizontal slice plot, therefore, it contains the following metadata
lon_list lat_list lat1 lon1 lat2 lon2 datafile num_x num_y min max color data_type outfile cvm_selected datapoints depth
(lon1,lat1) is the lower left corner of the plot and (lon2,lat2) is the upper right corner of the plot. lon_list and lat_list are the ticks of the axis
bin data file
The binary data is written out as array of float32. It can be imported with numpy in python,
import numpy as np
fh = open(rawfile, 'r')
floats = np.fromfile(fh, dtype=np.float32)
and fill into the 2D array as,
datapoints = np.arange(num_x * num_y,dtype=np.float32).reshape(num_y, num_x)
i=0
j=0
for f in floats:
datapoints[i][j] = f
j = j + 1
if j >= num_x:
j = 0
i = i + 1
