0.0.141
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@@ -1,7 +1,7 @@
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[metadata]
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# replace with your username:
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name = guan
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version = 0.0.140
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version = 0.0.141
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author = guanjihuan
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author_email = guanjihuan@163.com
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description = An open source python package
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Metadata-Version: 2.1
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Name: guan
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Version: 0.0.140
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Version: 0.0.141
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Summary: An open source python package
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Home-page: https://py.guanjihuan.com
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Author: guanjihuan
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@@ -2,7 +2,7 @@
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# With this package, you can calculate band structures, density of states, quantum transport and topological invariant of tight-binding models by invoking the functions you need. Other frequently used functions are also integrated in this package, such as file reading/writing, figure plotting, data processing.
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# The current version is guan-0.0.140, updated on September 30, 2022.
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# The current version is guan-0.0.141, updated on December 09, 2022.
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# Installation: pip install --upgrade guan
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@@ -2343,18 +2343,18 @@ def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z'
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plt.show()
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plt.close('all')
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def plot_contour(x_array, y_array, matrix, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', file_format='.jpg', dpi=300):
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def plot_contour(x_array, y_array, matrix, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=15, cmap='jet', levels=None, show=1, save=0, filename='a', file_format='.jpg', dpi=300):
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots()
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plt.subplots_adjust(bottom=0.2, right=0.75, left=0.2)
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x_array, y_array = np.meshgrid(x_array, y_array)
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contour = ax.contourf(x_array,y_array,matrix,cmap='jet')
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contour = ax.contourf(x_array,y_array,matrix,cmap=cmap, levels=levels)
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ax.set_title(title, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_xlabel(xlabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_ylabel(ylabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.tick_params(labelsize=labelsize)
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labels = ax.get_xticklabels() + ax.get_yticklabels()
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[label.set_fontname('Times New Roman') for label in labels]
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[label.set_fontname('Times New Roman') for label in labels]
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cax = plt.axes([0.8, 0.2, 0.05, 0.68])
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cbar = fig.colorbar(contour, cax=cax)
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cbar.ax.tick_params(labelsize=labelsize)
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