Load Array From File#
The python script, load_from_file.py, provides the details for loading array objects that have been previously saved. An Array object contains a save function. Both a pickle formatted file and CSV file are written in the local directory. See the save function for more details. A CommonOffset object inherits the Array object so the process is also the same.
When loading from csvfile you will need to supply the channel, project file, and receiver file.
prjfile = 'single_source.prj'
rcxfile = 'receivers.xyz'
channel = 'Ex'
csvfile = 'single_source-Ex-50.0-10.0-10.0.csv'
array_csv = Array(channel, prjfile, rcxfile, csvfile = csvfile)
array_csv.exaggeration = 0.1
array_csv.sectionplot()
When loading from a pickle file, you need to open the file for reading since it is a binary file. All of the information from the project file, receiver file and channel along with the other seidart objects are also contained in the pickle file.
pickle_file = 'single_source-Ex-50.0-10.0-10.0.pkl'
f = open(pickle_file, 'rb')
array_pkl = pickle.load(f)
array_pkl.exaggeration = 0.1
array_pkl.sectionplot()
Both CSV and pickle files are cross-platform and can be loaded using other programming languages. See the examples for the following languages for reading pickle files: