In [ ]:
import os
import sys
import matplotlib.pyplot as plt
%matplotlib inline
In [ ]:
import cellpy.parameters.prms as prms
from cellpy import cellreader
In [ ]:
from cellpy import log
log.setup_logging(default_level="DEBUG")
In [ ]:
# print settings
prm_dicts = [d for d in dir(prms) if not d.startswith("_")]
for d in prm_dicts:
if isinstance(getattr(prms,d), (dict, )) and not d.startswith("excel"):
print(f"\n--------------------{d}----------------------")
for variable in getattr(prms, d):
print(f"{variable}: ", end="")
print(eval("prms.%s['%s']" % (d, variable)))
In [ ]:
current_file_path = os.getcwd()
relative_test_data_dir = "../testdata"
test_data_dir = os.path.abspath(os.path.join(current_file_path, relative_test_data_dir))
test_data_dir_raw = os.path.join(test_data_dir, "data")
test_res_file = "20160805_test001_45_cc_01.res"
test_res_file_full = os.path.join(test_data_dir_raw,test_res_file)
test_data_dir_out = os.path.join(test_data_dir, "out")
test_data_dir_cellpy = os.path.join(test_data_dir, "hdf5")
test_cellpy_file = "20160805_test001_45_cc.h5"
test_cellpy_file_tmp = "tmpfile.h5"
test_cellpy_file_full = os.path.join(test_data_dir_cellpy,test_cellpy_file)
test_cellpy_file_tmp_full = os.path.join(test_data_dir_cellpy,test_cellpy_file_tmp)
test_run_name = "20160805_test001_45_cc"
In [ ]:
assert os.path.isfile(test_res_file_full)
assert os.path.isfile(test_cellpy_file_full)
assert os.path.isdir(test_data_dir)
# os.listdir(test_data_dir)
In [ ]:
celldata = cellreader.CellpyData()
#celldata.from_raw(test_res_file_full)
#celldata.set_mass(0.34)
celldata.load(test_cellpy_file_full)
In [ ]:
data = celldata.cell
In [ ]:
for x in dir(data):
if not x.startswith("__"):
if not x in ["summary", "raw", "steps"]:
print(f"{x}: {getattr(data,x)}")
In [ ]:
data.summary.head()
In [ ]:
data.raw.head()
In [ ]:
data.steps.head()
In [ ]:
celldata.make_summary()
In [ ]:
print(data.summary_made)
dfsummary_made is wrong in the cellpyfile
In [ ]:
# lets see what cycles we have
cycles = celldata.get_cycle_numbers()
print(cycles)
In [ ]: