diff --git a/doc/README.md b/doc/README.md index ea2cb3c..a9faf27 100644 --- a/doc/README.md +++ b/doc/README.md @@ -502,7 +502,7 @@ A default data processing path management is provided, but the user has the opti
-Following the first processing step (see section IV) - First step of data analysis of the documentation), by default, a new directory is created at the same root as the input data folder, with the nomenclature: 'initial_file_name'_'yyyy-mm-dd-HHh-MMm'_out_'processing_type'
. This directory itself contains two subdirectories, figs
and nanoloops
, and a text file, parameters.txt
.
+Following the first processing step (see section IV) - First step of data analysis of the documentation), by default, a new directory is created at the same root as the input data folder, with the nomenclature: 'initial_file_name'_'yyyy-mm-dd-HHh-MMm'_out_'processing_type'
. This directory itself contains two subdirectories, figs
and nanoloops
, a json file, datacube_to_nanoloop_s1_params.json
and the csv measurement sheet.
datacube_to_nanoloop_s1_params.json
, created with create_json_res
or copy_json_res
function of the script PySSPFM/utils/path_for_runable.py
nanoloops
folder obtained is selected. The entirety of the files within it is arranged using the generate_file_nanoloop_paths
function found in the utils/nanoloop_to_hyst/file.py
script. Subsequently, data extraction is carried out for each file, employing the extract_nanoloop_data
function from the utils/nanoloop/file.py
. The measurement and processing parameters from the parameters.txt
file are also read and extracted using the print_parameters
function within the utils/nanoloop_to_hyst/file.py
.
+As an initial step, the nanoloops
folder obtained is selected. The entirety of the files within it is arranged using the generate_file_nanoloop_paths
function found in the utils/nanoloop_to_hyst/file.py
script. Subsequently, data extraction is carried out for each file, employing the extract_nanoloop_data
function from the utils/nanoloop/file.py
. The measurement parameters are read in the csv measurement sheet with the csv_meas_sheet_extract
function of the utils/raw_extraction.py
script.