matplotlib & pandas

Python/matplotlab/gallery/misc/logos2.md

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+# Matplotlib标志
+
+显示一些matplotlib徽标。
+
+感谢Tony Yu <tsyu80@gmail.com>的标志设计
+
+![Matplotlib标志示例](https://matplotlib.org/_images/sphx_glr_logos2_001.png)
+
+```python
+import numpy as np
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import matplotlib.cm as cm
+
+mpl.rcParams['xtick.labelsize'] = 10
+mpl.rcParams['ytick.labelsize'] = 12
+mpl.rcParams['axes.edgecolor'] = 'gray'
+
+
+axalpha = 0.05
+figcolor = 'white'
+dpi = 80
+fig = plt.figure(figsize=(6, 1.1), dpi=dpi)
+fig.patch.set_edgecolor(figcolor)
+fig.patch.set_facecolor(figcolor)
+
+
+def add_math_background():
+    ax = fig.add_axes([0., 0., 1., 1.])
+
+    text = []
+    text.append(
+        (r"$W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = "
+         r"U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2}"
+         r"\int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 "
+         r"\left[\frac{ U^{2\beta}_{\delta_1 \rho_1} - "
+         r"\alpha^\prime_2U^{1\beta}_{\rho_1 \sigma_2} "
+         r"}{U^{0\beta}_{\rho_1 \sigma_2}}\right]$", (0.7, 0.2), 20))
+    text.append((r"$\frac{d\rho}{d t} + \rho \vec{v}\cdot\nabla\vec{v} "
+                 r"= -\nabla p + \mu\nabla^2 \vec{v} + \rho \vec{g}$",
+                 (0.35, 0.9), 20))
+    text.append((r"$\int_{-\infty}^\infty e^{-x^2}dx=\sqrt{\pi}$",
+                 (0.15, 0.3), 25))
+    text.append((r"$F_G = G\frac{m_1m_2}{r^2}$",
+                 (0.85, 0.7), 30))
+    for eq, (x, y), size in text:
+        ax.text(x, y, eq, ha='center', va='center', color="#11557c",
+                alpha=0.25, transform=ax.transAxes, fontsize=size)
+    ax.set_axis_off()
+    return ax
+
+
+def add_matplotlib_text(ax):
+    ax.text(0.95, 0.5, 'matplotlib', color='#11557c', fontsize=65,
+            ha='right', va='center', alpha=1.0, transform=ax.transAxes)
+
+
+def add_polar_bar():
+    ax = fig.add_axes([0.025, 0.075, 0.2, 0.85], projection='polar')
+
+    ax.patch.set_alpha(axalpha)
+    ax.set_axisbelow(True)
+    N = 7
+    arc = 2. * np.pi
+    theta = np.arange(0.0, arc, arc/N)
+    radii = 10 * np.array([0.2, 0.6, 0.8, 0.7, 0.4, 0.5, 0.8])
+    width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])
+    bars = ax.bar(theta, radii, width=width, bottom=0.0)
+    for r, bar in zip(radii, bars):
+        bar.set_facecolor(cm.jet(r/10.))
+        bar.set_alpha(0.6)
+
+    ax.tick_params(labelbottom=False, labeltop=False,
+                   labelleft=False, labelright=False)
+
+    ax.grid(lw=0.8, alpha=0.9, ls='-', color='0.5')
+
+    ax.set_yticks(np.arange(1, 9, 2))
+    ax.set_rmax(9)
+
+
+if __name__ == '__main__':
+    main_axes = add_math_background()
+    add_polar_bar()
+    add_matplotlib_text(main_axes)
+    plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: logos2.py](https://matplotlib.org/_downloads/logos2.py)
+- [下载Jupyter notebook: logos2.ipynb](https://matplotlib.org/_downloads/logos2.ipynb)