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def sandian1(file_path: str,
             red_point_por: float,
             red_point_K: float,
             red_point_name: str,
             ):
    df = pd.read_csv(file_path, header=None, names=['img_name', 'por', 'K'])

    df['por'] = pd.to_numeric(df['por'], errors='coerce')
    df['por'] = df['por'] * 100
    df['K'] = pd.to_numeric(df['K'], errors='coerce')
    por = df['por']
    K = df['K']
    por2 = red_point_por
    K2 = red_point_K
    name2 = red_point_name

    
    fig, ax = plt.subplots(figsize=(3.9, 2.7), dpi=300)

    
    plt.rcParams['font.family'] = 'serif'
    plt.rcParams['font.serif'] = ['Times New Roman'] + plt.rcParams['font.serif']

    
    ax.scatter(por, K, marker='s', color='black', facecolors='none', s=50, label=img_name)
    
    ax.scatter(por2, K2, marker='o', color='red', s=80, label=name2)

    
    ax.set_yscale('log')
    
    formatter = ScalarFormatter(useOffset=False, useMathText=False)
    ax.yaxis.set_major_formatter(formatter)
    
    ax.set_xlim(10, 30)
    ax.set_ylim(1, 1000)
    
    ax.xaxis.set_major_locator(ticker.MultipleLocator(5))  
    

    
    ax.tick_params(axis='x', labelsize=10)  
    ax.tick_params(axis='y', labelsize=10)  
    
    x_labels = ax.get_xticklabels()
    y_labels = ax.get_yticklabels()
    
    for label in x_labels:
        label.set_fontname('Times New Roman')  
        label.set_fontweight('bold')           
    for label in y_labels:
        label.set_fontname('Times New Roman')            
        label.set_fontweight('bold')           

    
    ax.tick_params(axis='x', which='major', length=4, width=1, direction='in')
    ax.tick_params(axis='x', which='minor', length=3, width=1, direction='in')
    ax.tick_params(axis='y', which='major', length=4, width=1, direction='in')
    ax.tick_params(axis='y', which='minor', length=3, width=1, direction='in')

    
    ax.spines['bottom'].set_linewidth(1)  
    ax.spines['left'].set_linewidth(1)    
    ax.spines['top'].set_linewidth(1)     
    ax.spines['right'].set_linewidth(1)   

    
    ax.set_xlabel('POR(%)', fontsize=11, fontname='Times New Roman', fontweight='bold')
    ax.set_ylabel('Permeability(mD)', fontsize=11, fontname='Times New Roman', fontweight='bold')

    
    legend = ax.legend(fontsize=8)
    
    legend.get_frame().set_linewidth(0.0)  
    legend.get_frame().set_facecolor('none')  

    
    ax.grid(True, which='both', linestyle='-', linewidth=0.5, alpha=0.5)

    
    plt.tight_layout()

    return plt

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def xiangxiantu_one_por(file_path: str,
                        img_name:  str,
                        key_point_value: float
                        ):
    df = pd.read_csv(file_path, header=None, names=['img_name', 'por', 'K'])

    df['por'] = pd.to_numeric(df['por'], errors='coerce')
    df['por'] = df['por'] * 100
    por = df['por'].dropna()

    
    fig, ax = plt.subplots(figsize=(3, 2.7), dpi=300)

    
    plt.rcParams['font.family'] = 'serif'
    plt.rcParams['font.serif'] = ['Times New Roman'] + plt.rcParams['font.serif']

    
    data = [por]
    labels = [img_name]
    boxplot = ax.boxplot(data, notch=True, patch_artist=True, tick_labels=labels)

    
    ax.set_ylim(10, 30)

    
    colors = ['lightgreen']
    for box, color in zip(boxplot['boxes'], colors):
        box.set(facecolor=color)

    
    ax.scatter(1, key_point_value, color='red', s=50, zorder=5, marker='o')

    
    ax.grid(True, which='both', linestyle='-', linewidth=0.5, alpha=0.5)

    
    ax.yaxis.set_major_locator(ticker.MultipleLocator(5))  
    

    
    ax.tick_params(axis='x', labelsize=7)  
    ax.tick_params(axis='y', labelsize=8)  

    
    ax.tick_params(axis='x', which='major', length=4, width=1, direction='in')
    ax.tick_params(axis='x', which='minor', length=3, width=1, direction='in')
    ax.tick_params(axis='y', which='major', length=4, width=1, direction='in')
    ax.tick_params(axis='y', which='minor', length=3, width=1, direction='in')

    
    ax.spines['bottom'].set_linewidth(1)  
    ax.spines['left'].set_linewidth(1)    
    ax.spines['top'].set_linewidth(1)     
    ax.spines['right'].set_linewidth(1)   

    
    ax.set_ylabel('POR(%)', fontsize=10, fontname='Times New Roman', fontweight='bold')

    plt.tight_layout()
    return plt

def xiangxiantu_one_K(file_path:    str,
                        img_name:   str,
                        key_point_value:    float
                        ):
    df = pd.read_csv(file_path, header=None, names=['img_name', 'por', 'K'])
    df['K'] = pd.to_numeric(df['K'], errors='coerce')
    K = df['K'].dropna()

    
    fig, ax = plt.subplots(figsize=(3, 2.7), dpi=300)

    
    plt.rcParams['font.family'] = 'serif'
    plt.rcParams['font.serif'] = ['Times New Roman'] + plt.rcParams['font.serif']

    
    data = [K]
    labels = [img_name]
    boxplot = ax.boxplot(data, notch=True, patch_artist=True, tick_labels=labels)

    
    colors = ['lightgreen']
    for box, color in zip(boxplot['boxes'], colors):
        box.set(facecolor=color)

    
    ax.scatter(1, key_point_value, color='red', s=50, zorder=5, marker='o')

    
    ax.grid(True, which='both', linestyle='-', linewidth=0.5, alpha=0.5)

    
    ax.set_yscale('log')
    
    formatter = ScalarFormatter(useOffset=False, useMathText=False)
    ax.yaxis.set_major_formatter(formatter)
    
    ax.set_ylim(1, 1000)

    
    ax.tick_params(axis='x', labelsize=7)  
    ax.tick_params(axis='y', labelsize=8)  

    
    ax.tick_params(axis='x', which='major', length=4, width=1, direction='in')
    ax.tick_params(axis='x', which='minor', length=3, width=1, direction='in')
    ax.tick_params(axis='y', which='major', length=4, width=1, direction='in')
    ax.tick_params(axis='y', which='minor', length=3, width=1, direction='in')

    
    ax.spines['bottom'].set_linewidth(1)  
    ax.spines['left'].set_linewidth(1)    
    ax.spines['top'].set_linewidth(1)     
    ax.spines['right'].set_linewidth(1)   

    
    ax.set_ylabel('Permeability(mD)', fontsize=10, fontname='Times New Roman', fontweight='bold')

    plt.tight_layout()
    return plt

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def xiaotiqintu_one_por(file_path: str,
                        img_name:  str,
                        key_point_value: float
                        ):
    df = pd.read_csv(file_path, header=None, names=['img_name', 'por', 'K'])

    df['por'] = pd.to_numeric(df['por'], errors='coerce')
    df['por'] = df['por'] * 100
    por = df['por'].dropna()

    
    fig, ax = plt.subplots(figsize=(3, 2.7), dpi=300)

    
    plt.rcParams['font.family'] = 'serif'
    plt.rcParams['font.serif'] = ['Times New Roman'] + plt.rcParams['font.serif']

    
    data = [por]
    labels = [img_name]
    boxplot = ax.violinplot(data, showmeans=False, showmedians=True)

    
    for pc in boxplot['bodies']:
        pc.set_facecolor('lightblue')  
        pc.set_edgecolor('lightblue')  
        pc.set_alpha(0.5)  

    
    boxplot['cmedians'].set_color('black')  
    boxplot['cmins'].set_color('black')  
    boxplot['cmaxes'].set_color('black')  
    boxplot['cbars'].set_color('black')  

    
    ax.set_xlim(0, 2)
    ax.set_ylim(10, 30)

    
    ax.set_xticks([1])
    ax.set_xticklabels(labels)

    
    ax.scatter(1, key_point_value, color='red', s=50, zorder=5, marker='o')

    
    ax.grid(True, which='both', linestyle='-', linewidth=0.5, alpha=0.5)

    
    ax.yaxis.set_major_locator(ticker.MultipleLocator(5))  
    ax.xaxis.set_minor_locator(ticker.MultipleLocator(1))  

    
    ax.tick_params(axis='x', labelsize=7)  
    ax.tick_params(axis='y', labelsize=8)  

    
    ax.tick_params(axis='x', which='major', length=4, width=1, direction='in')
    ax.tick_params(axis='x', which='minor', length=3, width=1, direction='in')
    ax.tick_params(axis='y', which='major', length=4, width=1, direction='in')
    ax.tick_params(axis='y', which='minor', length=3, width=1, direction='in')

    
    ax.spines['bottom'].set_linewidth(1)  
    ax.spines['left'].set_linewidth(1)    
    ax.spines['top'].set_linewidth(1)     
    ax.spines['right'].set_linewidth(1)   

    
    ax.set_ylabel('POR(%)', fontsize=10, fontname='Times New Roman', fontweight='bold')

    plt.tight_layout()
    return plt


def xiaotiqintu_one_K(file_path: str,
                        img_name:  str,
                        key_point_value: float
                        ):
    df = pd.read_csv(file_path, header=None, names=['img_name', 'por', 'K'])
    df['K'] = pd.to_numeric(df['K'], errors='coerce')
    K = df['K'].dropna()

    
    fig, ax = plt.subplots(figsize=(3, 2.7), dpi=300)

    
    plt.rcParams['font.family'] = 'serif'
    plt.rcParams['font.serif'] = ['Times New Roman'] + plt.rcParams['font.serif']

    
    data = [K]
    labels = [img_name]
    boxplot = ax.violinplot(data, showmeans=False, showmedians=True)

    
    for pc in boxplot['bodies']:
        pc.set_facecolor('lightgreen')  
        pc.set_edgecolor('lightgreen')  
        pc.set_alpha(0.5)  

    
    boxplot['cmedians'].set_color('black')  
    boxplot['cmins'].set_color('black')  
    boxplot['cmaxes'].set_color('black')  
    boxplot['cbars'].set_color('black')  

    
    ax.set_xlim(0, 2)
    ax.set_xticks([1])
    ax.set_xticklabels(labels)

    
    ax.set_yscale('log')
    
    formatter = ScalarFormatter(useOffset=False, useMathText=False)
    ax.yaxis.set_major_formatter(formatter)
    
    ax.set_ylim(1, 1000)

    
    ax.scatter(1, key_point_value, color='red', s=50, zorder=5, marker='o')

    
    ax.grid(True, which='both', linestyle='-', linewidth=0.5, alpha=0.5)

    
    
    ax.xaxis.set_minor_locator(ticker.MultipleLocator(1))  

    
    ax.tick_params(axis='x', labelsize=7)  
    ax.tick_params(axis='y', labelsize=8)  

    
    ax.tick_params(axis='x', which='major', length=4, width=1, direction='in')
    ax.tick_params(axis='x', which='minor', length=3, width=1, direction='in')
    ax.tick_params(axis='y', which='major', length=4, width=1, direction='in')
    ax.tick_params(axis='y', which='minor', length=3, width=1, direction='in')

    
    ax.spines['bottom'].set_linewidth(1)  
    ax.spines['left'].set_linewidth(1)    
    ax.spines['top'].set_linewidth(1)     
    ax.spines['right'].set_linewidth(1)   

    
    ax.set_ylabel('Permeability(mD)', fontsize=10, fontname='Times New Roman', fontweight='bold')

    plt.tight_layout()
    return plt