.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/plot_skada_logo.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_plot_skada_logo.py: ===================== SKADA logo generation ===================== In this example we plot the logos of the SKADA toolbox. This logo is that it is done 100% in Python and generated using matplotlib and plotting the solution of the EMD solver from POT. .. GENERATED FROM PYTHON SOURCE LINES 12-18 .. code-block:: Python # Author: Théo Gnassounou # # License: BSD 3-Clause # sphinx_gallery_thumbnail_number = 1 .. GENERATED FROM PYTHON SOURCE LINES 19-171 .. code-block:: Python from math import factorial import matplotlib.pyplot as plt import numpy as np plt.rcParams.update({"text.usetex": True, "font.family": "Computer Modern"}) color_S = "black" color_1 = "#2364aa" color_0 = "#c84630" color_unlabel = "#999c81" def comb(n, k): return factorial(n) // (factorial(k) * factorial(n - k)) def bezier_curve(t, points): n = len(points) - 1 return sum(comb(n, i) * (1 - t) ** (n - i) * t**i * points[i] for i in range(n + 1)) def draw_S( start_length=9, length_step=2.5, final_angle=70, angle_step=18, s=30, alpha=0.9, linewidths=1, random_state=42, figsize=(2, 2), white=False, ): rng = np.random.RandomState(random_state) # Create a figure and axis fig = plt.figure(1, figsize) if figsize == (2, 2): plt.xlim(-1, 11) else: plt.xlim(-1, 35) # Define the control points for the Bézier curve points = np.array([[2, 8], [4, 10], [6, 0], [8, 2]]) # Generate the S shape t_values = np.linspace(-0.3, 1.3, 100) curve = np.array([bezier_curve(t, points) for t in t_values]) for i, angle in enumerate(range(0, final_angle, angle_step)): rotation_center = np.mean(curve, axis=0) rotation_angle = np.radians(angle) rotation_matrix = np.array( [ [np.cos(rotation_angle), -np.sin(rotation_angle)], [np.sin(rotation_angle), np.cos(rotation_angle)], ] ) rotated_curve = ( np.dot(curve - rotation_center, rotation_matrix) + rotation_center ) # Plot the S shape plt.plot( rotated_curve[:, 1], rotated_curve[:, 0], color=color_S if not white else "w", linewidth=start_length - length_step * i, alpha=1 - i / (final_angle / angle_step), solid_capstyle="round", ) # Plot the S shape plt.plot( curve[:, 1], curve[:, 0], color=color_S if not white else "w", linewidth=2, solid_capstyle="round", ) n_dots = 200 max = 2 min = 1 dots = rng.rand(n_dots, 2) * 10 dots_class = [] dots_keep = [] for i, dot in enumerate(dots): # get the closest x axis point of the curve of dot closest_point = curve[np.argmin(np.abs(curve[:, 0] - dot[0]))] if (abs(closest_point[1] - dot[1]) < max) & ( abs(closest_point[1] - dot[1]) > min ): dots_keep.append(dot) if closest_point[1] > dot[1]: dots_class.append(1) else: dots_class.append(0) dots_keep = np.array(dots_keep) dots_class = np.array(dots_class) plt.scatter( dots_keep[dots_class == 0, 1], dots_keep[dots_class == 0, 0], color=color_unlabel if not white else "w", marker="o", s=s, alpha=alpha, linewidths=linewidths, ) plt.scatter( dots_keep[dots_class == 1, 1], dots_keep[dots_class == 1, 0], color=color_unlabel if not white else "w", marker="s", s=s, alpha=alpha, linewidths=linewidths, ) dots_rotated = ( np.dot(dots_keep - rotation_center, rotation_matrix) + rotation_center ) plt.scatter( dots_rotated[dots_class == 0, 1], dots_rotated[dots_class == 0, 0], color=color_1 if not white else "w", marker="o", s=s, alpha=alpha, linewidths=linewidths, ) plt.scatter( dots_rotated[dots_class == 1, 1], dots_rotated[dots_class == 1, 0], color=color_0 if not white else "w", marker="s", s=s, alpha=alpha, linewidths=linewidths, ) # Hide axes plt.axis("off") return fig .. GENERATED FROM PYTHON SOURCE LINES 172-185 .. code-block:: Python fig = draw_S(figsize=(2, 2)) # Save the figure plt.savefig( "skada_logo.svg", dpi=300, ) plt.savefig( "skada_logo.pdf", dpi=300, ) .. image-sg:: /auto_examples/images/sphx_glr_plot_skada_logo_001.png :alt: plot skada logo :srcset: /auto_examples/images/sphx_glr_plot_skada_logo_001.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 186-237 .. code-block:: Python fig = draw_S(figsize=(6, 2)) fontsize = 85 y_axis = 1.5 plt.text( 10, y_axis, r"\bf\textsf{K}", usetex=True, fontsize=fontsize, color="black", ) plt.text( 17, y_axis, r"\bf\textsf{A}", usetex=True, fontsize=fontsize, color="black", ) plt.text( 23.5, y_axis, r"\bf\textsf{D}", usetex=True, fontsize=fontsize, color=color_1, ) plt.text( 30.5, y_axis, r"\bf\textsf{A}", usetex=True, fontsize=fontsize, color=color_0, ) # plt.tight_layout() # Save the figure plt.savefig( "skada_logo_full.svg", dpi=300, bbox_inches="tight", ) plt.savefig( "skada_logo_full.pdf", dpi=300, bbox_inches="tight", ) .. image-sg:: /auto_examples/images/sphx_glr_plot_skada_logo_002.png :alt: plot skada logo :srcset: /auto_examples/images/sphx_glr_plot_skada_logo_002.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 238-280 .. code-block:: Python fig = draw_S(figsize=(6, 2), white=True) fontsize = 85 y_axis = 1.5 plt.text( 10, y_axis, r"\bf\textsf{K}", usetex=True, fontsize=fontsize, color="w", ) plt.text( 17, y_axis, r"\bf\textsf{A}", usetex=True, fontsize=fontsize, color="w", ) plt.text( 23.5, y_axis, r"\bf\textsf{D}", usetex=True, fontsize=fontsize, color="w", ) plt.text( 30.5, y_axis, r"\bf\textsf{A}", usetex=True, fontsize=fontsize, color="w", ) # Save the figure plt.savefig("skada_logo_full_white.svg", transparent=True) plt.savefig("skada_logo_full_white.pdf", transparent=True) .. image-sg:: /auto_examples/images/sphx_glr_plot_skada_logo_003.png :alt: plot skada logo :srcset: /auto_examples/images/sphx_glr_plot_skada_logo_003.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 1.367 seconds) .. _sphx_glr_download_auto_examples_plot_skada_logo.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_skada_logo.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_skada_logo.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_skada_logo.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_