Extracting ica data
Note
This chapter would benefit from some more love and care. Any help on that would be highly appreciated.
Example: get dq/dv data for selected cycles
This example shows how to get dq/dv data for a selected cycle. The data is
extracted from the cellpy object using the .get_cap method. The method dqdv_cycle
and the dqdv
methods are cellpy-agnostic and should work also for other
data sources (e.g. numpy arrays).
import matplotlib.pyplot as plt
from cellpy.utils import ica
v4, dqdv4 = ica.dqdv_cycle(
data.get_cap(
4,
categorical_column=True,
method = "forth-and-forth")
)
v10, dqdv10 = ica.dqdv_cycle(
data.get_cap(
10,
categorical_column=True,
method = "forth-and-forth")
)
plt.plot(v4,dqdv4, label="cycle 4")
plt.plot(v10, dqdv10, label="cycle 10")
plt.legend()
Example: get dq/dv data for selected cycles
This example shows how to get dq/dv data directly from the cellpy object. This methodology is more convenient if you want to get the data easily from the cellpy object in a pandas dataframe format.
# assuming that b is a cellpy.utils.batch.Batch object
c = b.experiment.data["20160805_test001_45_cc"] # get the cellpy object
tidy_ica = ica.dqdv_frames(c) # create the dqdv data
cycles = list(range(1,3)) + [10, 15]
tidy_ica = tidy_ica.loc[tidy_ica.cycle.isin(cycles), :] # select cycles
Fitting ica data
TODO.