update 0.0.47
This commit is contained in:
		| @@ -1,7 +1,7 @@ | ||||
| [metadata] | ||||
| # replace with your username: | ||||
| name = guan | ||||
| version = 0.0.45 | ||||
| version = 0.0.47 | ||||
| author = guanjihuan | ||||
| author_email = guanjihuan@163.com | ||||
| description = An open source python package | ||||
|   | ||||
| @@ -4,7 +4,7 @@ | ||||
|  | ||||
| import numpy as np | ||||
|  | ||||
| def plot(x_array, y_array, xlabel='x', ylabel='y', title='', filename='a', show=1, save=0, format='jpg', dpi=300, type='', y_min=None, y_max=None, linewidth=None, markersize=None):  | ||||
| def plot(x_array, y_array, xlabel='x', ylabel='y', title='', show=1, save=0, filename='a', format='jpg', dpi=300, type='', y_min=None, y_max=None, linewidth=None, markersize=None):  | ||||
|     import matplotlib.pyplot as plt | ||||
|     fig, ax = plt.subplots() | ||||
|     plt.subplots_adjust(bottom=0.20, left=0.18)  | ||||
| @@ -28,7 +28,7 @@ def plot(x_array, y_array, xlabel='x', ylabel='y', title='', filename='a', show= | ||||
|         plt.show() | ||||
|     plt.close('all') | ||||
|  | ||||
| def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', filename='a', show=1, save=0, format='jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100):  | ||||
| def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', show=1, save=0, filename='a', format='jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100):  | ||||
|     import matplotlib.pyplot as plt | ||||
|     from matplotlib import cm | ||||
|     from matplotlib.ticker import LinearLocator | ||||
| @@ -67,7 +67,7 @@ def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z' | ||||
|         plt.show() | ||||
|     plt.close('all') | ||||
|  | ||||
| def plot_contour(x_array, y_array, matrix, xlabel='x', ylabel='y', title='', filename='a', show=1, save=0, format='jpg', dpi=300):   | ||||
| def plot_contour(x_array, y_array, matrix, xlabel='x', ylabel='y', title='', show=1, save=0, filename='a', format='jpg', dpi=300):   | ||||
|     import matplotlib.pyplot as plt | ||||
|     fig, ax = plt.subplots() | ||||
|     plt.subplots_adjust(bottom=0.2, right=0.75, left = 0.16)  | ||||
|   | ||||
| @@ -4,45 +4,45 @@ | ||||
|  | ||||
| import numpy as np | ||||
|  | ||||
| def read_one_dimensional_data(filename='a'):  | ||||
|     f = open(filename+'.txt', 'r') | ||||
| def read_one_dimensional_data(filename='a', format='txt'):  | ||||
|     f = open(filename+'.'+format, 'r') | ||||
|     text = f.read() | ||||
|     f.close() | ||||
|     row_list = np.array(text.split('\n'))  | ||||
|     dim_column = np.array(row_list[0].split()).shape[0]  | ||||
|     x = np.array([]) | ||||
|     y = np.array([]) | ||||
|     x_array = np.array([]) | ||||
|     y_array = np.array([]) | ||||
|     for row in row_list: | ||||
|         column = np.array(row.split())  | ||||
|         if column.shape[0] != 0:   | ||||
|             x = np.append(x, [float(column[0])], axis=0)   | ||||
|             x_array = np.append(x_array, [float(column[0])], axis=0)   | ||||
|             y_row = np.zeros(dim_column-1) | ||||
|             for dim0 in range(dim_column-1): | ||||
|                 y_row[dim0] = float(column[dim0+1]) | ||||
|             if np.array(y).shape[0] == 0: | ||||
|                 y = [y_row] | ||||
|             if np.array(y_array).shape[0] == 0: | ||||
|                 y_array = [y_row] | ||||
|             else: | ||||
|                 y = np.append(y, [y_row], axis=0) | ||||
|     return x, y | ||||
|                 y_array = np.append(y_array, [y_row], axis=0) | ||||
|     return x_array, y_array | ||||
|  | ||||
| def read_two_dimensional_data(filename='a'):  | ||||
|     f = open(filename+'.txt', 'r') | ||||
| def read_two_dimensional_data(filename='a', format='txt'):  | ||||
|     f = open(filename+'.'+format, 'r') | ||||
|     text = f.read() | ||||
|     f.close() | ||||
|     row_list = np.array(text.split('\n'))  | ||||
|     dim_column = np.array(row_list[0].split()).shape[0]  | ||||
|     x = np.array([]) | ||||
|     y = np.array([]) | ||||
|     x_array = np.array([]) | ||||
|     y_array = np.array([]) | ||||
|     matrix = np.array([]) | ||||
|     for i0 in range(row_list.shape[0]): | ||||
|         column = np.array(row_list[i0].split())  | ||||
|         if i0 == 0: | ||||
|             x_str = column[1::]  | ||||
|             x = np.zeros(x_str.shape[0]) | ||||
|             x_array = np.zeros(x_str.shape[0]) | ||||
|             for i00 in range(x_str.shape[0]): | ||||
|                 x[i00] = float(x_str[i00])  | ||||
|                 x_array[i00] = float(x_str[i00])  | ||||
|         elif column.shape[0] != 0:  | ||||
|             y = np.append(y, [float(column[0])], axis=0)   | ||||
|             y_array = np.append(y_array, [float(column[0])], axis=0)   | ||||
|             matrix_row = np.zeros(dim_column-1) | ||||
|             for dim0 in range(dim_column-1): | ||||
|                 matrix_row[dim0] = float(column[dim0+1]) | ||||
| @@ -50,10 +50,12 @@ def read_two_dimensional_data(filename='a'): | ||||
|                 matrix = [matrix_row] | ||||
|             else: | ||||
|                 matrix = np.append(matrix, [matrix_row], axis=0) | ||||
|     return x, y, matrix | ||||
|     return x_array, y_array, matrix | ||||
|  | ||||
| def write_one_dimensional_data(x_array, y_array, filename='a'):  | ||||
|     with open(filename+'.txt', 'w') as f: | ||||
| def write_one_dimensional_data(x_array, y_array, filename='a', format='txt'):  | ||||
|     x_array = np.array(x_array) | ||||
|     y_array = np.array(y_array) | ||||
|     with open(filename+'.'+format, 'w') as f: | ||||
|         i0 = 0 | ||||
|         for x0 in x_array: | ||||
|             f.write(str(x0)+'   ') | ||||
| @@ -65,8 +67,11 @@ def write_one_dimensional_data(x_array, y_array, filename='a'): | ||||
|                 f.write('\n') | ||||
|             i0 += 1 | ||||
|  | ||||
| def write_two_dimensional_data(x_array, y_array, matrix, filename='a'):  | ||||
|     with open(filename+'.txt', 'w') as f: | ||||
| def write_two_dimensional_data(x_array, y_array, matrix, filename='a', format='txt'):  | ||||
|     x_array = np.array(x_array) | ||||
|     y_array = np.array(y_array) | ||||
|     matrix = np.array(matrix) | ||||
|     with open(filename+'.'+format, 'w') as f: | ||||
|         f.write('0   ') | ||||
|         for x0 in x_array: | ||||
|             f.write(str(x0)+'   ') | ||||
|   | ||||
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