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py-data-analysis/Experimental_Analysis.ipynb

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None <html lang="en"> <head> </head>

Experimental Data-Analysis

In [3]:
pip install pandas

Collecting pandas
  Downloading pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (91 kB)
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Collecting numpy>=1.26.0 (from pandas)
  Downloading numpy-2.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (62 kB)
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Requirement already satisfied: python-dateutil>=2.8.2 in ./.venv/lib/python3.12/site-packages (from pandas) (2.9.0.post0)
Collecting pytz>=2020.1 (from pandas)
  Using cached pytz-2025.2-py2.py3-none-any.whl.metadata (22 kB)
Collecting tzdata>=2022.7 (from pandas)
  Using cached tzdata-2025.2-py2.py3-none-any.whl.metadata (1.4 kB)
Requirement already satisfied: six>=1.5 in ./.venv/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)
Downloading pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (12.4 MB)
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Downloading numpy-2.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.6 MB)
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Using cached pytz-2025.2-py2.py3-none-any.whl (509 kB)
Using cached tzdata-2025.2-py2.py3-none-any.whl (347 kB)
Installing collected packages: pytz, tzdata, numpy, pandas
Successfully installed numpy-2.3.3 pandas-2.3.3 pytz-2025.2 tzdata-2025.2
Note: you may need to restart the kernel to use updated packages.
In [25]:
import  pandas      as      pd
from    pathlib     import  Path
from    dataclasses import  dataclass

class   Experimento:
    def __init__(self, volt_iny, volt_elec, corr_elec, resistencia):
        self.volt_iny    =   volt_iny
        self.volt_elec   =   volt_elec
        self.corr_elec   =   corr_elec
        self.resistencia =   resistencia
In [39]:
path_1  =   Path("/home/mgph/Desktop/?/MAESTRIA/HYDROGEN_PROJ/Data/Experimental-Data/EXP-A_20250917_163949.csv")    # Path for the experiment 20250917
path_2  =   Path("/home/mgph/Desktop/?/MAESTRIA/HYDROGEN_PROJ/Data/Experimental-Data/EXP-A_20250922_100524.csv")     # Path for the experiment 20250922
# Import the experiment "20250917"
df_1    =   pd.read_csv(path_1, encoding="latin-1")
# Import the experiment "20250922"
df_2    =   pd.read_csv(path_2, encoding="latin-1")
#df_1.head() 
#df_1.head()

cols_extract    =   ["Voltaje Inyectado (V)", "Voltaje Electrodos (V)", "Corriente Electrodos (A)", "Resistencia"]
dt_exp1         =   df_1[cols_extract].copy()
dt_exp2         =   df_2[cols_extract].copy()

exp_1   =   Experimento(
    volt_iny    =   dt_exp1["Voltaje Inyectado (V)"], 
    volt_elec   =   dt_exp1["Voltaje Electrodos (V)"],
    corr_elec   =   dt_exp1["Corriente Electrodos (A)"],
    resistencia =   dt_exp1["Resistencia"],
)

exp_2   =   Experimento(
    volt_iny    =   dt_exp2["Voltaje Inyectado (V)"], 
    volt_elec   =   dt_exp2["Voltaje Electrodos (V)"],
    corr_elec   =   dt_exp2["Corriente Electrodos (A)"],
    resistencia =   dt_exp2["Resistencia"],
)

min_val_exp1    =   min(exp_1.volt_iny)
min_val_exp2    =   min(exp_2.volt_iny)

print(f"The min value of the exp_1 are: {min_val_exp1} V, length: {len(exp_1.volt_iny)}")
print(f"The min value of the exp_2 are: {min_val_exp2} V, length: {len(exp_2.volt_iny)}")

The min value of the exp_1 are: 0.6 V, length: 77
The min value of the exp_2 are: 0.3 V, length: 85
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