0.0.166

API_Reference.py

@@ -394,6 +394,9 @@ x_array, y_array, matrix = guan.read_two_dimensional_data(filename='a', file_for
 # 读取文件中的二维数据（第一行和列分别为横纵坐标）（支持复数形式）
 x_array, y_array, matrix = guan.read_two_dimensional_complex_data(filename='a', file_format='.txt')
 
+# 读取文件中的二维数据（不包括x和y）
+matrix = guan.read_two_dimensional_data_without_xy_array(filename='a', file_format='.txt')
+
 # 打开文件用于新增内容
 f = guan.open_file(filename='a', file_format='.txt')
 

PyPI/setup.cfg

@@ -1,7 +1,7 @@
 [metadata]
 # replace with your username:
 name = guan
-version = 0.0.165
+version = 0.0.166
 author = guanjihuan
 author_email = guanjihuan@163.com
 description = An open source python package

PyPI/src/guan.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: guan
-Version: 0.0.165
+Version: 0.0.166
 Summary: An open source python package
 Home-page: https://py.guanjihuan.com
 Author: guanjihuan

PyPI/src/guan/__init__.py

@@ -2,7 +2,7 @@
 
 # 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.
 
-# The current version is guan-0.0.165, updated on February 24, 2023.
+# The current version is guan-0.0.166, updated on March 02, 2023.
 
 # Installation: pip install --upgrade guan
 
@@ -2323,6 +2323,11 @@ def read_two_dimensional_complex_data(filename='a', file_format='.txt'):
                 matrix = np.append(matrix, [matrix_row], axis=0)
     return x_array, y_array, matrix
 
+# 读取文件中的二维数据（不包括x和y）
+def read_two_dimensional_data_without_xy_array(filename='a', file_format='.txt'):
+    matrix = np.loadtxt(filename+file_format)
+    return matrix
+
 # 打开文件用于新增内容
 def open_file(filename='a', file_format='.txt'):
     try: