def dict_builder_vals_test(self):
# dict_builder(params, test_name = '')
y = dict_builder(self.x, test_name = 'STEP_BOX')
assert list(y) == [{'TITLE': 'STEP_BOX0-4-2', 'a': '0', 'b': '2', 'c': '4'},
{'TITLE': 'STEP_BOX0-4-3', 'a': '0', 'b': '3', 'c': '4'},
{'TITLE': 'STEP_BOX1-4-2', 'a': '1', 'b': '2', 'c': '4'},
{'TITLE': 'STEP_BOX1-4-3', 'a': '1', 'b': '3', 'c': '4'}]
def plotter(parameters, plotted_val='HRR', **kwargs):
"""
plotter(parameters, plotted_val = 'HRR', **kwargs)
takes in a parameter set and a plotted_val (for now a column label in the FDS output)
reads the data in, and then plots all grouping variations of the plotted_val as a function
of the parameter study variables.
"""
dataLists = {}
# read data
for folder in glob.glob(os.path.join(kwargs['base_path'], '*')):
for datafile in glob.glob(os.path.join(folder, '*_hrr.csv')):
dataLists[folder.split("/")[-1]] = pd.read_csv(datafile,
skiprows=1)
filename_map = pd.DataFrame(
list(dict_builder(parameters, test_name=kwargs['test_name'])))
for key in parameters.keys():
for results in filename_map.groupby(by=key):
plt.figure()
for title in results[1]['TITLE'].values:
plt.plot(dataLists[title].Time,
dataLists[title][plotted_val],
label=title)
plt.title(key + ' ' + str(results[0]))
plt.legend()
plt.savefig(key + ' ' + str(results[0]) + '.png', dpi=300)
def plotter(parameters, plotted_val = 'HRR', **kwargs):
"""
plotter(parameters, plotted_val = 'HRR', **kwargs)
takes in a parameter set and a plotted_val (for now a column label in the FDS output)
reads the data in, and then plots all grouping variations of the plotted_val as a function
of the parameter study variables.
"""
dataLists = {}
# read data
for folder in glob.glob(os.path.join(kwargs['base_path'],'*')):
for datafile in glob.glob(os.path.join(folder, '*_hrr.csv')):
dataLists[folder.split("/")[-1]] = pd.read_csv(datafile, skiprows = 1)
filename_map = pd.DataFrame(list(dict_builder(parameters, test_name = kwargs['test_name'])))
for key in parameters.keys():
for results in filename_map.groupby(by = key):
plt.figure()
for title in results[1]['TITLE'].values:
plt.plot(dataLists[title].Time, dataLists[title][plotted_val], label = title)
plt.title(key + ' ' + str(results[0]))
plt.legend()
plt.savefig(key + ' ' + str(results[0]) + '.png', dpi = 300)
def dict_builder_len_test(self): y = dict_builder(self.x) assert len(list(y)) == 4