119 lines
3.4 KiB
Markdown
119 lines
3.4 KiB
Markdown
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.
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### Updated Python Script:
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```python
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import matplotlib.pyplot as plt
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# Data for Performance per Initial Dollar
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systems = [
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"Custom Built Server",
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"MINISFORUM UM690S",
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"MINISFORUM UM790 Pro",
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"MINISFORUM UM690 Pro",
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"Beelink SER5",
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"CyberGeek Mini PC",
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"KAMRUI Mini PC"
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]
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performance_per_dollar = [
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19.08, 39.82, 29.08, 36.13, 34.66, 31.25, 32.58
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]
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# Data for Total Combined Score
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combined_scores = [
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27_004.6, 62_419.6, 34_209.8, 46_814.7, 57_024.5, 45_619.6, 45_619.6
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]
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# Recommended system
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recommended_system = "MINISFORUM UM690S"
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# Plot Performance per Initial Dollar
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plt.figure(figsize=(10, 6))
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bars = plt.barh(systems, performance_per_dollar, color='skyblue', height=0.5)
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plt.xlabel('Performance per Initial Dollar')
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plt.title('Performance per Initial Dollar for Each System')
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plt.grid(True, axis='x', linestyle='--', alpha=0.7)
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plt.gca().invert_yaxis()
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plt.tight_layout()
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# Add the actual numbers at the end of the bars
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for bar, value in zip(bars, performance_per_dollar):
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plt.text(value, bar.get_y() + bar.get_height()/2, f'{value:.2f}', va='center')
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# Highlight the recommended system
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for bar, system in zip(bars, systems):
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if system == recommended_system:
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bar.set_color('lightgreen')
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plt.savefig('performance_per_dollar_recommended.png')
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plt.show()
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# Plot Total Combined Score
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plt.figure(figsize=(10, 6))
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bars = plt.barh(systems, combined_scores, color='lightgreen', height=0.5)
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plt.xlabel('Total Combined Score')
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plt.title('Total Combined Score for Each System')
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plt.grid(True, axis='x', linestyle='--', alpha=0.7)
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plt.gca().invert_yaxis()
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plt.tight_layout()
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# Add the actual numbers at the end of the bars
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for bar, value in zip(bars, combined_scores):
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plt.text(value, bar.get_y() + bar.get_height()/2, f'{value:.1f}', va='center')
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# Highlight the recommended system
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for bar, system in zip(bars, systems):
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if system == recommended_system:
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bar.set_color('skyblue')
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plt.savefig('combined_scores_recommended.png')
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plt.show()
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```
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### Instructions to run the script:
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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.
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### Temporary Solution:
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1. **Temporarily add the directory to your PATH**:
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```bash
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export PATH=$PATH:/home/datawarrior/.local/bin
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```
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2. **Verify pip is now accessible**:
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```bash
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pip --version
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```
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### Permanent Solution:
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1. **Open your `.bashrc` file** (or `.bash_profile` or `.profile` depending on your system configuration) in a text editor:
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```bash
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nano ~/.bashrc
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```
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2. **Add the following line** at the end of the file:
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```bash
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export PATH=$PATH:/home/datawarrior/.local/bin
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```
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3. **Save the file and exit the text editor**.
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4. **Apply the changes**:
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```bash
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source ~/.bashrc
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```
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### Installing matplotlib:
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After adding the directory to your PATH, you can proceed with installing matplotlib:
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```bash
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pip install matplotlib
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```
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### Running the Python script:
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Once matplotlib is installed, you can create the `generate_charts.py` script and run it:
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```bash
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python3 generate_charts.py
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```
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Here’s a quick summary of commands for the temporary solution:
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```bash
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export PATH=$PATH:/home/datawarrior/.local/bin
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pip install matplotlib
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```
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