Create example.txt

example.txt

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+###Instruction: Generate a small python repo for matplotlib to visualize timeseries data to read from timeseries.csv file using polars. 
+###Response:  The repository should include the following:
+- A `src` directory for the Python source files.
+- A `data` directory for the input CSV file.
+- A `requirements.txt` file listing the necessary libraries.
+- A `README.md` file explaining how to use the tool.
+- A `run.sh` script to execute the main program.
+
+Create the repository structure and populate it with the necessary files. ```python
+<libs>matplotlib,polars</libs>
+<planning>
+#1 Create the repository structure.
+   - Initialize the git repository.
+   - Create the `src`, `data`, and `docs` directories.
+#2 Populate the repository with necessary files.
+   - Add a `requirements.txt` file with the necessary libraries.
+   - Add a `README.md` file explaining how to use the tool.
+   - Add a `run.sh` script to execute the main program.
+   - Add a Python script in `src` to visualize timeseries data.
+</planning>
+<requirements>matplotlib==3.5.1
+polars==0.17.0</requirements>
+<output><file1>src/visualize_timeseries.py<content>
+import polars as pl
+import matplotlib.pyplot as plt
+
+def load_timeseries_data(file_path):
+    """Load timeseries data from a CSV file."""
+    return pl.read_csv(file_path, has_headers=True)
+
+def visualize_timeseries(data):
+    """Visualize the timeseries data."""
+    plt.figure(figsize=(10, 6))
+    plt.plot(data['timestamp'], data['value'], label='Timeseries Data')
+    plt.xlabel('Timestamp')
+    plt.ylabel('Value')
+    plt.title('Timeseries Visualization')
+    plt.legend()
+    plt.grid(True)
+    plt.show()
+
+if __name__ == "__main__":
+    file_path = 'data/timeseries.csv'
+    data = load_timeseries_data(file_path)
+    visualize_timeseries(data)
+</content></file1>
+<bashfile>run.sh<content>python3 src/visualize_timeseries.py</content></bashfile>
+<readme>README.md<content>
+# Timeseries Visualization Tool
+
+This tool visualizes timeseries data loaded from a CSV file using `pandas` for data handling and `matplotlib` for plotting.
+
+## Requirements
+
+Ensure you have the following libraries installed:
+
+```bash
+pip install -r requirements.txt
+```
+
+## Usage
+
+To run the visualization tool, execute the following command:
+
+```bash
+bash run.sh
+```
+
+## Data
+
+The tool expects a CSV file named `timeseries.csv` in the `data` directory with the following columns:
+- `timestamp`: Timestamp of the data point.
+- `value`: Value of the timeseries data.
+</content></readme>
+</output>