|
|
|
|
import pandas as pd
|
|
|
|
|
import glob
|
|
|
|
|
import os
|
|
|
|
|
|
|
|
|
|
import abstract_importer as ai
|
|
|
|
|
import sample_path as sp
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class CSVImporter(ai.AbstractImporter):
|
|
|
|
|
|
|
|
|
|
def __init__(self, file_path):
|
|
|
|
|
self._df_samples_list = None
|
|
|
|
|
super(CSVImporter, self).__init__(file_path)
|
|
|
|
|
|
|
|
|
|
def import_data(self):
|
|
|
|
|
self.read_csv_file()
|
|
|
|
|
self.import_variables()
|
|
|
|
|
self.import_structure()
|
|
|
|
|
self.compute_row_delta_in_all_samples_frames(self._df_samples_list)
|
|
|
|
|
|
|
|
|
|
def read_csv_file(self):
|
|
|
|
|
df = pd.read_csv(self._file_path)
|
|
|
|
|
df.drop(df.columns[[0]], axis=1, inplace=True)
|
|
|
|
|
self._df_samples_list = [df]
|
|
|
|
|
|
|
|
|
|
def import_variables(self):
|
|
|
|
|
variables_list = list(self._df_samples_list[0].columns)[1:]
|
|
|
|
|
#wrong_vars_labels = ['Y','Z','X']
|
|
|
|
|
self._sorter = variables_list
|
|
|
|
|
values_list = [3 for var in variables_list]
|
|
|
|
|
# initialize list of lists
|
|
|
|
|
data = {'Name':variables_list, 'Value':values_list}
|
|
|
|
|
|
|
|
|
|
# Create the pandas DataFrame
|
|
|
|
|
self._df_variables = pd.DataFrame(data)
|
|
|
|
|
|
|
|
|
|
def import_structure(self):
|
|
|
|
|
data = {'From':['X','Y','Z'], 'To':['Z','Z','Y']}
|
|
|
|
|
self._df_structure = pd.DataFrame(data)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
read_files = glob.glob(os.path.join('../data', "*.csv"))
|
|
|
|
|
print(read_files[0])
|
|
|
|
|
csvimp = CSVImporter(read_files[0])
|
|
|
|
|
|
|
|
|
|
#csvimp.import_data()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
s1 = sp.SamplePath(csvimp)
|
|
|
|
|
s1.build_trajectories()
|
|
|
|
|
s1.build_structure()
|
|
|
|
|
print(s1.structure)
|
|
|
|
|
print(s1.trajectories)
|
