HomeLabDataCenter/scripts/graphs/analysis_graphs_py_inst.md

This script will generate the required charts and save them as performance_per_dollar_recommended.png and combined_scores_recommended.png in the same directory as the script.

Updated Python Script:

import matplotlib.pyplot as plt

# Data for Performance per Initial Dollar
systems = [
    "Custom Built Server",
    "MINISFORUM UM690S",
    "MINISFORUM UM790 Pro",
    "MINISFORUM UM690 Pro",
    "Beelink SER5",
    "CyberGeek Mini PC",
    "KAMRUI Mini PC"
]
performance_per_dollar = [
    19.08, 39.82, 29.08, 36.13, 34.66, 31.25, 32.58
]

# Data for Total Combined Score
combined_scores = [
    27_004.6, 62_419.6, 34_209.8, 46_814.7, 57_024.5, 45_619.6, 45_619.6
]

# Recommended system
recommended_system = "MINISFORUM UM690S"

# Plot Performance per Initial Dollar
plt.figure(figsize=(10, 6))
bars = plt.barh(systems, performance_per_dollar, color='skyblue', height=0.5)
plt.xlabel('Performance per Initial Dollar')
plt.title('Performance per Initial Dollar for Each System')
plt.grid(True, axis='x', linestyle='--', alpha=0.7)
plt.gca().invert_yaxis()
plt.tight_layout()

# Add the actual numbers at the end of the bars
for bar, value in zip(bars, performance_per_dollar):
    plt.text(value, bar.get_y() + bar.get_height()/2, f'{value:.2f}', va='center')

# Highlight the recommended system
for bar, system in zip(bars, systems):
    if system == recommended_system:
        bar.set_color('lightgreen')

plt.savefig('performance_per_dollar_recommended.png')
plt.show()

# Plot Total Combined Score
plt.figure(figsize=(10, 6))
bars = plt.barh(systems, combined_scores, color='lightgreen', height=0.5)
plt.xlabel('Total Combined Score')
plt.title('Total Combined Score for Each System')
plt.grid(True, axis='x', linestyle='--', alpha=0.7)
plt.gca().invert_yaxis()
plt.tight_layout()

# Add the actual numbers at the end of the bars
for bar, value in zip(bars, combined_scores):
    plt.text(value, bar.get_y() + bar.get_height()/2, f'{value:.1f}', va='center')

# Highlight the recommended system
for bar, system in zip(bars, systems):
    if system == recommended_system:
        bar.set_color('skyblue')

plt.savefig('combined_scores_recommended.png')
plt.show()

If pip is not recognized as a command, it might be because it is not installed or not added to your system's PATH. Here are steps to address this:

1. Ensure Python and pip are installed:

   • If you are on Windows, you can download the Python installer from python.org. During installation, make sure to check the option to "Add Python to PATH".
   • If you are on macOS or Linux, Python might already be installed. You can check by running python --version or python3 --version in the terminal.

2. Installing pip:

   • If Python is installed but pip is not, you can install pip manually. Download get-pip.py by running:

     curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
     

   • Then run the following command to install pip:

     python get-pip.py
     

3. Using pip3:

   • On some systems, especially if both Python 2 and Python 3 are installed, you might need to use pip3 instead of pip. You can install matplotlib using:

     pip3 install matplotlib
     

4. Verify the installation:

   • After installing pip, you can verify the installation by running:

     pip --version
     

   • If you had to use pip3 to install, verify with:

     pip3 --version
     

5. Installing matplotlib with pip:

   • Once pip is available, you can install matplotlib by running:

     pip install matplotlib
     

   • Or if you used pip3:

     pip3 install matplotlib
     

6. Running the script:

   • After installing matplotlib, create the generate_charts.py file as described previously, and run it with:

     python generate_charts.py
     

   • Or if you need to use Python 3 explicitly:

     python3 generate_charts.py
     

If you run into any specific issues or errors during these steps, please let me know so I can help troubleshoot further.

Instructions to run the script:

It looks like pip was installed in a directory that is not included in your system's PATH. To resolve this, you can add the directory to your PATH temporarily or permanently.

Temporary Solution:

1. Temporarily add the directory to your PATH:

   export PATH=$PATH:/home/datawarrior/.local/bin
   

2. Verify pip is now accessible:

   pip --version
   

Permanent Solution:

1. Open your .bashrc file (or .bash_profile or .profile depending on your system configuration) in a text editor:

   nano ~/.bashrc
   

2. Add the following line at the end of the file:

   export PATH=$PATH:/home/datawarrior/.local/bin
   

3. Save the file and exit the text editor.
4. Apply the changes:

   source ~/.bashrc
   

Installing matplotlib:

After adding the directory to your PATH, you can proceed with installing matplotlib:

pip install matplotlib

Running the Python script:

Once matplotlib is installed, you can create the generate_charts.py script and run it:

python3 generate_charts.py

Here’s a quick summary of commands for the temporary solution:

export PATH=$PATH:/home/datawarrior/.local/bin
pip install matplotlib