| import os | |
| import importlib | |
| import pyhxexpress.hxex as hxex | |
| import numpy as np, pandas as pd | |
| #pd.set_option('display.max_columns',None) | |
| #%pip install tensorflow==2.13.0 | |
| # import tensorflow as tf | |
| # from keras.models import load_model | |
| #import config | |
| #import hdxms_params_22Dec2023 as config | |
| #import test_config as config | |
| import config_fimh as config | |
| def hxex_reload(): | |
| importlib.reload(hxex) | |
| importlib.reload(config) | |
| hxex.config = config | |
| hxex_reload() | |
| #help(hxex) | |
| hxex.config.Output_DIR = os.path.join(hxex.config.Data_DIR,'hdxms_analysis_'+str(config.date)) | |
| if not os.path.exists(hxex.config.Output_DIR): os.makedirs(hxex.config.Output_DIR) | |
| print("saving output to ",hxex.config.Output_DIR) | |
| metadf = hxex.get_metadf() | |
| hxex.run_hdx_fits(metadf) | |