produce the figure similar to this one in Matlab

i wrote this code to produce the chart in python, can any one reproduce it in Matlab to produce the same figure, i need it urgently, please. this chart i made it using Gemini Ai in colab but the quality of images is very bad and i want to produce it in Matlab so that the quality be better, please. i wrote the following code using python and i want it in Matlab, please, urgently, help.

import matplotlib.pyplot as plt
import numpy as np

# Define the number of groups and categories per group
num_groups = 7 # Changed from 4 to 7
num_categories_per_group = 7
# Define 7 distinct colors for categories (reused per group)
colors = [
    '#007F7F', '#800000', '#000080', '#808000', '#800080',
    '#008000', '#FF4500'
]
# Define custom 'before' and 'after' values for each group
custom_group_data = [
    {
        'before': np.array([20, 30, 25, 40, 15, 35, 22]),
        'after': np.array([25, 28, 30, 35, 18, 38, 28])
    },
    {
        'before': np.array([10, 20, 18, 25, 12, 28, 15]),
        'after': np.array([12, 22, 20, 28, 15, 30, 18])
    },
    {
        'before': np.array([30, 35, 28, 45, 20, 40, 32]),
        'after': np.array([32, 38, 30, 48, 23, 42, 35])
    },
    {
        'before': np.array([18, 22, 20, 30, 10, 25, 15]),
        'after': np.array([20, 25, 22, 33, 12, 28, 18])
    },
    {
        'before': np.array([22, 28, 32, 38, 17, 30, 25]), # New data for Group 5
        'after': np.array([24, 30, 35, 40, 19, 33, 27])
    },
    {
        'before': np.array([15, 19, 23, 27, 11, 26, 19]), # New data for Group 6
        'after': np.array([17, 21, 25, 29, 13, 28, 21])
    },
    {
        'before': np.array([35, 40, 33, 50, 25, 45, 38]), # New data for Group 7
        'after': np.array([37, 42, 36, 52, 27, 48, 40])
    }
]
plt.figure(figsize=(15, 5)) # Decreased height and increased width for Word document
# Generate and plot data for each group
for group_idx in range(num_groups):
    group_name = f'Group {group_idx + 1}'
    categories = [f'Category {i+1}' for i in range(num_categories_per_group)]

    # Use custom values for the current group
    before_values = custom_group_data[group_idx]['before']
    after_values = custom_group_data[group_idx]['after']
    # Ensure 'after' values are not negative (though with custom values, this might be handled directly)
    after_values[after_values < 0] = 0

    # Plot each line within the current group
    for i, category in enumerate(categories):
        # Label each category only once (when group_idx is 0) to avoid duplicate legend entries
        plt.plot(
            [group_idx - 0.3, group_idx + 0.3], # Increased offset from 0.2 to 0.3
            [before_values[i], after_values[i]],
            marker='o',
            linestyle='-',
            color=colors[i],
            label=f'{category}' if group_idx == 0 else '', # Use only 7 labels for categories
            alpha=0.7
        )

# Get current axes to modify tick parameters and set ylim
ax = plt.gca()

# Adjust y-axis limits to create space for 'Before'/'After' labels below the plot area
current_ymin, current_ymax = ax.get_ylim()
# Extend y-axis downwards by a percentage of the total y-range to make space
new_ymin = current_ymin - (current_ymax - current_ymin) * 0.15
ax.set_ylim(bottom=new_ymin)
# Re-get y_label_pos after setting new y-limit to ensure it's at the very bottom
y_label_pos = ax.get_ylim()[0]

for group_idx in range(num_groups):
    # Add 'before' and 'after' labels to the x-axis for each group
    # Placed at the new lower y-limit with increased font size
    plt.text(group_idx - 0.3, y_label_pos, 'Before', ha='center', va='top', fontsize=12, color='gray') # Increased offset
    plt.text(group_idx + 0.3, y_label_pos, 'After', ha='center', va='top', fontsize=12, color='gray') # Increased offset
# Add labels and title
plt.xticks(range(num_groups), [f'Group {i+1}' for i in range(num_groups)], fontsize=14) # Increased x-axis label font size
plt.ylabel('Value', fontsize=14) # Increased y-axis label font size
plt.title('Before and After Comparison for Multiple Groups and Categories', fontsize=16) # Increased title font size
plt.legend(title='Category', bbox_to_anchor=(1.05, 1), loc='upper left') # Ensure legend is displayed
plt.grid(True, linestyle='--', alpha=0.7)

# Adjust x-axis tick label padding to move them further down
ax.tick_params(axis='x', which='both', pad=15) # Increased pad to move x-tick labels down

plt.tight_layout()
plt.show()

Answer 1

[Mathieu NOE]

hello

maybe this ? (a quick and dirty attempt )

the plot rendering may differ on your PC vs here below :

groups = 3; % data groups
samples = 10; % samples (identical for each group in this example)


%% main code
figure 
hold on
grid on
xlim([0 groups*3+1])
ax = gca;

% init
x_labels_store = [];

% main loop
for k = 1:groups
    y_before = rand(samples,1);
    y_after = rand(samples,1);
    
    x_center = 3*k - 1 ;
    x_tick_before = (x_center-1);
    x_tick_after = (x_center+1);
    
    % plot each individual lines 
    for c = 1:samples
        color = rand(3,1);
        plot([x_tick_before x_tick_after],[y_before(c) y_after(c)],'.','Color',color,'MarkerSize',25)
        plot([x_tick_before x_tick_after],[y_before(c) y_after(c)],'-','Color',color,'LineWidth',2)
    end
    
    % create some labels
    tmp = {"Before","" ,"After"};
    x_labels_store = [x_labels_store tmp];

end

    set(ax, 'Ticklength', [0 0]); 
    set(ax,"XTick",(1:groups*3),"XTickLabel",x_labels_store)


for i = 1:groups
    text(3*i-1, ax.YLim(1)-0.1, ['GROUP ' num2str(i)], ...
        'horizontalalignment', 'center', 'verticalalignment', 'top','FontSize',16); 
end

ax.XLabel.String = sprintf('\n\n\n%s', 'My nice X axis');

●

[Mathieu NOE]

just for my own fun

instead of ploting the grid , I used some custom vertical lines

groups = 3; % data groups
samples = 10; % samples (identical for each group in this example)


%% main code
figure 
hold on
xlim([0 groups*3+1])
ax = gca;

% init
x_labels_store = [];

% main loop
for k = 1:groups
    y_before = rand(samples,1);
    y_after = rand(samples,1);
    
    x_center = 3*k - 1 ;
    x_tick_before = (x_center-1);
    x_tick_after = (x_center+1);
    
    % plot each individual lines 
    for c = 1:samples
        color = rand(3,1);
        plot([x_tick_before x_tick_after],[y_before(c) y_after(c)],'.','Color',color,'MarkerSize',25)
        plot([x_tick_before x_tick_after],[y_before(c) y_after(c)],'-','Color',color,'LineWidth',2)
    end

    % plot vertical lines
    xline(x_tick_before,'c:');
    xline(x_center,'k:');
    xline(x_tick_after,'c:');
    
    % create some labels
    tmp = {"Before","" ,"After"};
    x_labels_store = [x_labels_store tmp];

end

    set(ax, 'Ticklength', [0 0]); 
    set(ax,"XTick",(1:groups*3),"XTickLabel",x_labels_store)


for i = 1:groups
    text(3*i-1, ax.YLim(1)-0.1, ['GROUP ' num2str(i)], ...
        'horizontalalignment', 'center', 'verticalalignment', 'top','FontSize',16); 
end

ax.XLabel.String = sprintf('\n\n\n%s', 'My nice X axis');

●

[mohamed]

Hello, Sir, please, i need your help to convert a file written in python code with extension colab to Matlab file. the file is too large o convert by free AI converter available on he internet. i know you because last month , i asked a similar question to convert python -base small code that show before and after drawning into matlab code. i really appreciate your time and support, and humanity for helping. the file is not too large but it cannot be uploaded here because it excedes the limit set to uploaded files here, . this is my Email, [e-mail] . i can send you the file ans you send me the converted file, please, send me email as your time allows for ths help. Thanks for your humanity , Sir.

[Mathieu NOE]

as always, my pleasure !

[mohamed]

Hello, Sir, Mathieu NOE

please, i need your help to convert a file written in python code with extension colab to Matlab file. the file is too large o convert by free AI converter available on he internet. i know you because last month , i asked a similar question to convert python -base small code that show before and after drawning into matlab code. i really appreciate your time and support, and humanity for helping. the file is not too large but it cannot be uploaded here because it excedes the limit set to uploaded files here, . this is my Email, [e-mail] . i can send you the file ans you send me the converted file, please, send me email as your time allows for ths help. Thanks for your humanity , Sir.