matplotlib & pandas

Python/matplotlab/gallery/frontpage/3D.md

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+# Frontpage 3D示例
+
+此示例再现Frontpage 3D示例。
+
+![Frontpage 3D示例](https://matplotlib.org/_images/sphx_glr_3D_001.png)
+
+```python
+# This import registers the 3D projection, but is otherwise unused.
+from mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import
+
+from matplotlib import cbook
+from matplotlib import cm
+from matplotlib.colors import LightSource
+import matplotlib.pyplot as plt
+import numpy as np
+
+filename = cbook.get_sample_data('jacksboro_fault_dem.npz', asfileobj=False)
+with np.load(filename) as dem:
+    z = dem['elevation']
+    nrows, ncols = z.shape
+    x = np.linspace(dem['xmin'], dem['xmax'], ncols)
+    y = np.linspace(dem['ymin'], dem['ymax'], nrows)
+    x, y = np.meshgrid(x, y)
+
+region = np.s_[5:50, 5:50]
+x, y, z = x[region], y[region], z[region]
+
+fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
+
+ls = LightSource(270, 45)
+# To use a custom hillshading mode, override the built-in shading and pass
+# in the rgb colors of the shaded surface calculated from "shade".
+rgb = ls.shade(z, cmap=cm.gist_earth, vert_exag=0.1, blend_mode='soft')
+surf = ax.plot_surface(x, y, z, rstride=1, cstride=1, facecolors=rgb,
+                       linewidth=0, antialiased=False, shade=False)
+ax.set_xticks([])
+ax.set_yticks([])
+ax.set_zticks([])
+fig.savefig("surface3d_frontpage.png", dpi=25)  # results in 160x120 px image
+```
+
+## 下载这个示例
+            
+- [下载python源码: 3D.py](https://matplotlib.org/_downloads/3D.py)
+- [下载Jupyter notebook: 3D.ipynb](https://matplotlib.org/_downloads/3D.ipynb)

Python/matplotlab/gallery/frontpage/contour.md

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+# Frontpage 轮廓示例
+
+此示例再现Frontpage 轮廓示例。
+
+![Frontpage 轮廓示例](https://matplotlib.org/_images/sphx_glr_contour_001.png)
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+from matplotlib import cm
+
+extent = (-3, 3, -3, 3)
+
+delta = 0.5
+x = np.arange(-3.0, 4.001, delta)
+y = np.arange(-4.0, 3.001, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = np.exp(-X**2 - Y**2)
+Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
+Z = Z1 - Z2
+
+norm = cm.colors.Normalize(vmax=abs(Z).max(), vmin=-abs(Z).max())
+
+fig, ax = plt.subplots()
+cset1 = ax.contourf(
+    X, Y, Z, 40,
+    norm=norm)
+ax.set_xlim(-2, 2)
+ax.set_ylim(-2, 2)
+ax.set_xticks([])
+ax.set_yticks([])
+fig.savefig("contour_frontpage.png", dpi=25)  # results in 160x120 px image
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: contour.py](https://matplotlib.org/_downloads/contour.py)
+- [下载Jupyter notebook: contour.ipynb](https://matplotlib.org/_downloads/contour.ipynb)

Python/matplotlab/gallery/frontpage/histogram.md

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+# Frontpage 直方图示例
+
+此示例再现Frontpage 直方图示例。
+
+![Frontpage 直方图示例](https://matplotlib.org/_images/sphx_glr_histogram_001.png)
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+random_state = np.random.RandomState(19680801)
+X = random_state.randn(10000)
+
+fig, ax = plt.subplots()
+ax.hist(X, bins=25, density=True)
+x = np.linspace(-5, 5, 1000)
+ax.plot(x, 1 / np.sqrt(2*np.pi) * np.exp(-(x**2)/2), linewidth=4)
+ax.set_xticks([])
+ax.set_yticks([])
+fig.savefig("histogram_frontpage.png", dpi=25)  # results in 160x120 px image
+```
+
+## 下载这个示例
+            
+- [下载python源码: histogram.py](https://matplotlib.org/_downloads/histogram.py)
+- [下载Jupyter notebook: histogram.ipynb](https://matplotlib.org/_downloads/histogram.ipynb)

Python/matplotlab/gallery/frontpage/membrane.md

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+# Frontpage 绘图示例
+
+此示例再现Frontpage 绘图示例。
+
+![Frontpage 绘图示例](https://matplotlib.org/_images/sphx_glr_membrane_001.png)
+
+```python
+import matplotlib.pyplot as plt
+import matplotlib.cbook as cbook
+import numpy as np
+
+
+with cbook.get_sample_data('membrane.dat') as datafile:
+    x = np.fromfile(datafile, np.float32)
+# 0.0005 is the sample interval
+
+fig, ax = plt.subplots()
+ax.plot(x, linewidth=4)
+ax.set_xlim(5000, 6000)
+ax.set_ylim(-0.6, 0.1)
+ax.set_xticks([])
+ax.set_yticks([])
+fig.savefig("membrane_frontpage.png", dpi=25)  # results in 160x120 px image
+```
+
+## 下载这个示例
+            
+- [下载python源码: membrane.py](https://matplotlib.org/_downloads/membrane.py)
+- [下载Jupyter notebook: membrane.ipynb](https://matplotlib.org/_downloads/membrane.ipynb)