AMIDIQ

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In [5]:

from    pathlib import Path
import  sys


PROJECT_ROOT    =   Path.cwd().parent
sys.path.insert(0, str(PROJECT_ROOT))

print("Project_Root:", PROJECT_ROOT)


from    src.visualizacion import (plot_xy, comparar_rondas, comparar_experimentos, plot_con_ajuste
                                  , plot_3D, plot_color_map, plot_dual_axis)
from    src.data_loader import apply_filter
from    src.data_loader import load_all

DATA_DIR    =   PROJECT_ROOT / "data"
data        =   load_all(DATA_DIR)
print("Datos Cargados:", len(data))

Project_Root: /Users/mguillermo/Desktop/MGPH/Maestria/Hydrogen_Exp/Analysis/2nd_AMIDIQ_Analysis
Datos Cargados: 8

In [46]:

from    pathlib                 import   Path
from    src.data_loader         import  apply_filter
import  matplotlib.pyplot       as       plt

## Put the path for import the data 
#PROJECT_ROOT    =   Path.cwd().parent 
#DATA_DIR        =   PROJECT_ROOT    /   "data"

#data    =   load_all(DATA_DIR)

def plot_xy(df, x_col, y_col, label=None, ax=None):
    if ax is None:
        fig, ax = plt.subplots(figsize=(7,5))
    
    ax.plot(df[x_col], df[y_col], marker='o', linestyle='-', label=label)
    ax.set_xlabel(x_col)
    ax.set_ylabel(y_col)
    ax.grid(True)

    if label:
        ax.legend()
    
    return ax

def comparar_rondas(data, ronda, experimento, x_col, y_col,
                    row_start=None, row_end=None,
                    t_min=None, t_max=None, title=None):
    
    fig, ax = plt.subplots(figsize=(7,5))

    if ronda == None:
        rnd =   [1,2]
    else:
        rnd =   ronda

    for ronda in rnd:
        df  =   data[(ronda, experimento)]

        # Data Filtering 
        df_f    =   apply_filter(df, row_start=row_start, row_end=row_end,
                                 t_min=t_min, t_max=t_max)

        plot_xy(df_f, x_col, y_col, label=f"Ronda {ronda}", ax=ax)
    
    if title == None:
        ax.set_title(f"Experiment {experimento} - Comparatives Rounds {rnd}")
    else:
        ax.set_title(title)

    plt.show()

def comparar_experimentos(data, ronda, expe, x_col, y_col,
                          row_start=None, row_end=None,
                          t_min=None, t_max=None, title=None):
    
    fig, ax = plt.subplots(figsize=(7,5))

    if expe == None:
        no_expe =   [1,2,3,4]
    else:
        no_expe =   expe

    for exp in no_expe:
        df  =   data[(ronda, exp)]

        # Data Filtering 
        df_f    =   apply_filter(df, row_start=row_start, row_end=row_end,
                                 t_min=t_min, t_max=t_max)
        
        plot_xy(df_f, x_col, y_col, label=f"Experiment {exp}", ax=ax)

    if title == None:
        ax.set_title(f"Round {ronda} - Comparatives Experiments {no_expe}")
    else:
        ax.set_title(title)

    plt.show()



expe_1 = [1,4]

comparar_rondas(data, ronda=None, experimento=1, x_col="Temperatura", y_col="Resistencia", row_start=35, 
                row_end=66, title="Comparative between Temperature vs Resistance in Experiment 1")
comparar_rondas(data, ronda=None, experimento=2, x_col="Voltaje Electrodos (V)", y_col="Temperatura", 
                row_start=35, row_end=66)
comparar_experimentos(data, ronda=1, expe=None, x_col="Voltaje Electrodos (V)", y_col="Resistencia", 
                row_start=35, row_end=66)
comparar_experimentos(data, ronda=1, expe=None, x_col="Voltaje Electrodos (V)", y_col="Corriente Electrodos (A)", 
                row_start=10, row_end=66)
comparar_experimentos(data, ronda=1, expe=expe_1, x_col="Voltaje Electrodos (V)",
                      y_col="Corriente Electrodos (A)", row_start=10, row_end=66)
comparar_experimentos(data, ronda=1, expe=expe_1, x_col="Voltaje Electrodos (V)",
                      y_col="Resistencia", row_start=35, row_end=66)
comparar_experimentos(data, ronda=1, expe=[2,3], x_col="Voltaje Electrodos (V)",
                      y_col="Resistencia", row_start=35, row_end=66)

No description has been provided for this image

In [ ]:

import numpy as np  

def calcular_pendiente(df, x_col, y_col):
    x       =   df[x_col].values
    y       =   df[y_col].values

    m, b    =   np.polyfit(x, y, 1)

    return m, b

def comparar_pendientes(data, experimento, ronda,
                        x_col, y_col, row_start=None,
                        row_end=None):
    resultados  =   {}

    print(f"Items rondas: {ronda}")
    print(f"Items experimento: {experimento}")

    if len(ronda) > len(experimento):
        mayor   =   False
    else:
        mayor   =   True
    print(mayor)

    for rnd in ronda:
        for exp in experimento:
            df      =   data[(rnd, exp)]
            df_f    =   apply_filter(df, row_start=row_start, row_end=row_end)
            m, _    =   calcular_pendiente(df_f, x_col, y_col)
            if mayor == False:
                resultados[rnd] = m
            else:
                resultados[exp] = m
    
    print("Pendientes:")
    cont = 0
    result = {}
    for r, m in resultados.items():
        cont = cont + 1
        result[cont]    =   r
        print(f"Ronda {r}: {m:.6f}")
    
    print(result)
    print(len(resultados))
    
    cambio  =   ((resultados[result[2]] -   resultados[result[1]]) / resultados[result[1]]) * 100
    print(f"% Cambio Resultado 2 respecto Resultado 1: {cambio:.2f}%")

def plot_con_ajuste(data, x_col, y_col, ronda, exp,
                    row_start=None, row_end= None,
                    t_min=None, t_max=None):
    
    df      =   data[(ronda, exp)]
    df_f    =   apply_filter(df, row_start=row_start, row_end=row_end,
                             t_max=t_max, t_min=t_min)

    x       =   df_f[x_col].values
    y       =   df_f[y_col].values

    m, b    =   np.polyfit(x, y, 1)

    plt.figure(figsize=(7,5))
    plt.scatter(x, y, label=f"Datos-Experimento {exp}")
    plt.plot(x, m*x + b, color="red", label=f"Ajuste lineal (m={m:.4f})")
    plt.xlabel(x_col)
    plt.ylabel(y_col)
    plt.legend()
    plt.grid(True)
    plt.show()

    return m 

plot_con_ajuste(data, x_col="Voltaje Electrodos (V)", y_col="Resistencia",
                ronda=1, exp=1, row_start=36, row_end=66)
plot_con_ajuste(data, x_col="Voltaje Electrodos (V)", y_col="Corriente Electrodos (A)",
                ronda=1, exp=1, row_start=10, row_end=66)
plot_con_ajuste(data, x_col="Voltaje Electrodos (V)", y_col="Corriente Electrodos (A)",
                ronda=1, exp=4, row_start=10, row_end=66)

expr    =   [1,4]
rnd     =   [1]

comparar_pendientes(data, experimento=expr, ronda=rnd, x_col="Voltaje Electrodos (V)",
                    y_col="Corriente Electrodos (A)", row_start=10, row_end=66)

Items rondas: [1]
Items experimento: [1, 4]
True
Pendientes:
Ronda 1: 2.190472
Ronda 4: 2.038875
{1: 1, 2: 4}
2
% Cambio Resultado 2 respecto Resultado 1: -6.92%

In [7]:

df = data[(1,1)]
plot_con_ajuste(df, x_col="Voltaje Electrodos (V)", y_col="Corriente Electrodos (A)")

comparar_rondas()

Out[7]:

(np.float64(1.724478653786506),
 np.float64(-2.3681436972054284),
 <Figure size 700x500 with 1 Axes>,
 <Axes: xlabel='Voltaje Electrodos (V)', ylabel='Corriente Electrodos (A)'>)

In [ ]:

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502 KiB Raw Blame History

502 KiB

Raw Blame History