# Matplotlib Poppins Theme (Inspired by ggplot)
This package provides a custom theme for **Matplotlib**, inspired by the visual style of **ggplot**, using the **Poppins** font for a clean and modern look.
## Features
- Custom Matplotlib theme with the Poppins font.
- Configurable options for title size, label size, boldness, and grid display.
- Inspired by ggplot2's elegant styling.
## Installation
You can install this package via pip:
```bash
pip install finres_ggpt2_matplotlib
```
## Usage
```python
import finres_ggpt2_matplotlib
# Apply the custom Poppins theme
finres_ggpt2_matplotlib.set_poppins_theme()
# Now create your plots
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5]
y = [10, 15, 13, 17, 18]
plt.plot(x, y)
plt.title("Sample Poppins Plot")
plt.show()
```
### Customization Options
You can customize the theme by passing different options to set_poppins_theme():
```python
# Apply the Poppins theme with custom options
matplotlib_poppins_theme.set_poppins_theme(
title_size=18, # Custom title size
label_size=14, # Custom label size
bold_title=True, # Bold titles
bold_labels=False, # Non-bold axis labels
show_grid=True # Show grid lines
)
import matplotlib.pyplot as plt
import numpy as np
categories = ['Category A', 'Category B', 'Category C', 'Category D']
x = np.linspace(0, 10, 100) # Shared x-axis for all plots
data = {category: np.sin(x + i) for i, category in enumerate(categories)} # Different sine waves for each category
# Create a figure and axes for the faceted plot (2 rows, 2 columns)
fig, axes = plt.subplots(2, 2, figsize=(10, 8)) # Create a 2x2 grid of subplots
axes = axes.flatten() # Flatten axes for easy iteration
# Iterate through each axis and plot the corresponding data
for ax, (category, y) in zip(axes, data.items()):
ax.plot(x, y, label=category, color=np.random.rand(3,))
ax.set_title(f"Facet: {category}", fontsize=12, weight='bold') # Set the title for each facet
ax.set_xlabel('X-axis')
ax.set_ylabel('Y-axis')
ax.legend()
# Adjust layout for better spacing
plt.tight_layout()
# Show the faceted plot
plt.show()
```
with the theme
### Autre example
```python
# Example plot using the custom theme
theme.set_finres_ggpt_theme(vc_fontname="Poppins",
vc_cols="black",
vc_colbg_plot="white",
vc_colbg="#EFEFEF",
title_size=18,
label_size=12,
tick_size=12)
# Sample plot
fig, ax = plt.subplots()
# Data for plotting
ax.plot([0, 1, 2], [0, 1, 4], label="Example Data")
ax.set_title("Example Plot Title")
ax.set_xlabel("X Axis Label")
ax.set_ylabel("Y Axis Label")
# Place the legend outside the plot (right center)
ax.legend(title="Legend Title", loc="center left", bbox_to_anchor=(1, 0.5), frameon=True)
# Adjust layout to make room for the legend
plt.subplots_adjust(right=0.75)
# Show plot
plt.show()
```
### Parameters:
- `title_size`: Sets the font size for the plot title (default is 14).
- `label_size`: Sets the font size for the axis labels (default is 12).
- `bold_title`: Boolean to specify if the title should be bold (default is `True`).
- `bold_labels`: Boolean to specify if the axis labels should be bold (default is `True`).
- `show_grid`: Boolean to specify if the grid should be shown (default is `False`).
## Contributing
Contributions are welcome! Feel free to submit a pull request or open an issue on GitHub.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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"description": "# Matplotlib Poppins Theme (Inspired by ggplot)\n\nThis package provides a custom theme for **Matplotlib**, inspired by the visual style of **ggplot**, using the **Poppins** font for a clean and modern look. \n\n## Features\n\n- Custom Matplotlib theme with the Poppins font.\n- Configurable options for title size, label size, boldness, and grid display.\n- Inspired by ggplot2's elegant styling.\n\n## Installation\n\nYou can install this package via pip:\n\n```bash\npip install finres_ggpt2_matplotlib\n```\n\n## Usage\n```python\nimport finres_ggpt2_matplotlib\n\n# Apply the custom Poppins theme\nfinres_ggpt2_matplotlib.set_poppins_theme()\n\n# Now create your plots\nimport matplotlib.pyplot as plt\nx = [1, 2, 3, 4, 5]\ny = [10, 15, 13, 17, 18]\nplt.plot(x, y)\nplt.title(\"Sample Poppins Plot\")\nplt.show()\n\n```\n\n### Customization Options\n\nYou can customize the theme by passing different options to set_poppins_theme():\n\n```python\n# Apply the Poppins theme with custom options\nmatplotlib_poppins_theme.set_poppins_theme(\n title_size=18, # Custom title size\n label_size=14, # Custom label size\n bold_title=True, # Bold titles\n bold_labels=False, # Non-bold axis labels\n show_grid=True # Show grid lines\n)\n\n\n\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\ncategories = ['Category A', 'Category B', 'Category C', 'Category D']\nx = np.linspace(0, 10, 100) # Shared x-axis for all plots\ndata = {category: np.sin(x + i) for i, category in enumerate(categories)} # Different sine waves for each category\n\n# Create a figure and axes for the faceted plot (2 rows, 2 columns)\nfig, axes = plt.subplots(2, 2, figsize=(10, 8)) # Create a 2x2 grid of subplots\naxes = axes.flatten() # Flatten axes for easy iteration\n\n# Iterate through each axis and plot the corresponding data\nfor ax, (category, y) in zip(axes, data.items()):\n ax.plot(x, y, label=category, color=np.random.rand(3,))\n ax.set_title(f\"Facet: {category}\", fontsize=12, weight='bold') # Set the title for each facet\n ax.set_xlabel('X-axis')\n ax.set_ylabel('Y-axis')\n ax.legend()\n\n# Adjust layout for better spacing\nplt.tight_layout()\n\n# Show the faceted plot\nplt.show()\n\n```\nwith the theme\n\n\n\n\n\n### Autre example\n```python\n# Example plot using the custom theme\ntheme.set_finres_ggpt_theme(vc_fontname=\"Poppins\", \n vc_cols=\"black\", \n vc_colbg_plot=\"white\", \n vc_colbg=\"#EFEFEF\", \n title_size=18, \n label_size=12, \n tick_size=12)\n\n# Sample plot\nfig, ax = plt.subplots()\n\n# Data for plotting\nax.plot([0, 1, 2], [0, 1, 4], label=\"Example Data\")\nax.set_title(\"Example Plot Title\")\nax.set_xlabel(\"X Axis Label\")\nax.set_ylabel(\"Y Axis Label\")\n\n# Place the legend outside the plot (right center)\nax.legend(title=\"Legend Title\", loc=\"center left\", bbox_to_anchor=(1, 0.5), frameon=True)\n\n# Adjust layout to make room for the legend\nplt.subplots_adjust(right=0.75)\n\n# Show plot\nplt.show()\n```\n\n### Parameters:\n- `title_size`: Sets the font size for the plot title (default is 14).\n- `label_size`: Sets the font size for the axis labels (default is 12).\n- `bold_title`: Boolean to specify if the title should be bold (default is `True`).\n- `bold_labels`: Boolean to specify if the axis labels should be bold (default is `True`).\n- `show_grid`: Boolean to specify if the grid should be shown (default is `False`).\n\n## Contributing\n\nContributions are welcome! Feel free to submit a pull request or open an issue on GitHub.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n",
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