Tutorial 2 - Merge

import matplotlib.pyplot as plt

import pydpeet as eet

eet.set_logging_style("ERROR")

Datas = eet.read(config="neware_8_0_0_516", input_path=r"..\..\res\raw")

fig, ax = plt.subplots(1, len(Datas), figsize=(5 * len(Datas), 6))

for i, data in enumerate(Datas):
    ax[i].plot(data["Test_Time[s]"], data["Voltage[V]"], label=f"Data {i+1}")
    ax[i].set_title(f"Data {i+1}")
    ax[i].set_xlabel("Time [s]")
    ax[i].set_ylabel("Voltage [V]")
    fig.tight_layout()

Merged_Data = eet.merge_into_series(Datas)
Merged_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]	EIS_DC[A]	TestIndex
0	20240201100904-CheckUp-3-7-AM23NMC00009.xlsx U...	0.0	3.5269	1.4378	27.8	0.0	2024-02-01 10:09:04	None	None	None	None	0.0
1	NaN	0.0	3.5287	1.4398	27.8	1.0	2024-02-01 10:09:05	None	None	None	None	0.0
2	NaN	0.0	3.5298	1.4400	27.8	2.0	2024-02-01 10:09:06	None	None	None	None	0.0
3	NaN	0.0	3.5307	1.4400	27.8	3.0	2024-02-01 10:09:07	None	None	None	None	0.0
4	NaN	0.0	3.5315	1.4401	27.8	4.0	2024-02-01 10:09:08	None	None	None	None	0.0

fig, ax = plt.subplots(figsize=(10, 6))

p = 0

ax.plot(Merged_Data["Test_Time[s]"], Merged_Data["Voltage[V]"], label="Merged Data")
ax.plot(Datas[p]["Test_Time[s]"], Datas[p]["Voltage[V]"], label=f"Data {p+1}", linestyle="--")
ax.set_xlabel("Time [s]")
ax.set_ylabel("Voltage [V]")
ax.legend()

<matplotlib.legend.Legend at 0x197bab87e00>