Tutorial 02 - write() and DataOutputFiletype

Step 0: Setup the project and prepare the data

from pathlib import Path

import pydpeet as eet

We will use “ERROR” as the logging style for better readability of the notebook

eet.set_logging_style("ERROR")

Load or generate the (standardized) Data:

data_path = Path.cwd().parent.parent / "res" / "raw_data_from_cyclers" / "Cal_Ageing_Checkup1.xlsx"
config = eet.ReadConfig.Neware_8_0_0_516
standardized_data = eet.read(input_path=str(data_path), config=config)
standardized_data.head(6)

	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]	EIS_DC[A]
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	None
1.0	None	0	3.5287	1.4398	27.8	1.0	2024-02-01 10:09:05	None	None	None	None
2.0	None	0	3.5298	1.4400	27.8	2.0	2024-02-01 10:09:06	None	None	None	None
3.0	None	0	3.5307	1.4400	27.8	3.0	2024-02-01 10:09:07	None	None	None	None
4.0	None	0	3.5315	1.4401	27.8	4.0	2024-02-01 10:09:08	None	None	None	None
5.0	None	0	3.5323	1.4401	27.8	5.0	2024-02-01 10:09:09	None	None	None	None

Step 1: Write the data into a file

Save the data to the file “Tutorial_01_Data.parquet”:

eet.write(
    standardized_data, output_path=str(data_path.parent.parent / "standardized_data"), output_file_name="Tutorial_02"
)

Hint: The standard filetype is “.parquet” - You can type in “eet.DataOutputFiletype.” to see all other availiable DataOutputFiletypes in most IDEs

eet.write(
    standardized_data,
    output_path=str(data_path.parent.parent / "standardized_data"),
    output_file_name="Tutorial_02",
    data_output_filetype=eet.DataOutputFiletype.csv,
)