Tutorial 3 - Sequence

import matplotlib.pyplot as plt

import pydpeet as eet

eet.set_logging_style("ERROR")

It is easier to analyze Battery Data, when you have unified stepnames and parameter

Data = eet.read(config="neware_8_0_0_516", input_path=r"..\..\res\raw\Cal_Ageing_Checkup1.xlsx")

Sequenced_Data = eet.add_primitive_segments(Data)
eet.visualize_phases(
    dataframe=Sequenced_Data,
    # ...
)
plt.show()

Sequenced_Data.head()

	Meta_Data	Step_Count	Voltage[V]	Current[A]	Temperature[°C]	Test_Time[s]	Date_Time	EIS_f[Hz]	EIS_Z_Real[Ohm]	EIS_Z_Imag[Ohm]	...	ID	Variable	Duration	Length	Min	Max	Avg	Type	Direction	Slope
0.0	20240201100904-CheckUp-3-7-AM23NMC00009.xlsx U...	0	3.5269	1.4378	27.8	0.0	2024-02-01 10:09:04	None	None	None	...	1	V	9112	9111.0	3.5269	4.2001	3.889836	Ramp	Up	0.000074
1.0	None	0	3.5287	1.4398	27.8	1.0	2024-02-01 10:09:05	None	None	None	...	1	V	9112	9111.0	3.5269	4.2001	3.889836	Ramp	Up	0.000074
2.0	None	0	3.5298	1.4400	27.8	2.0	2024-02-01 10:09:06	None	None	None	...	1	V	9112	9111.0	3.5269	4.2001	3.889836	Ramp	Up	0.000074
3.0	None	0	3.5307	1.4400	27.8	3.0	2024-02-01 10:09:07	None	None	None	...	1	V	9112	9111.0	3.5269	4.2001	3.889836	Ramp	Up	0.000074
4.0	None	0	3.5315	1.4401	27.8	4.0	2024-02-01 10:09:08	None	None	None	...	1	V	9112	9111.0	3.5269	4.2001	3.889836	Ramp	Up	0.000074

5 rows × 22 columns

eet.print_references()