python-3.x

问题 I know that I can get the current location of the mouse cursor by executing "xdotool getmouselocation". I would like to detect the current mouse cursor type such as pointer, beam, or hand cursor from bash terminal or python code. Would this be possible? Thank you. June 回答1: You can use xdotool to continuously click where the link would be until the program notices the window title changes. When the window title changes, that means the link has been clicked, and the new page is loading.

问题 I know that I can get the current location of the mouse cursor by executing "xdotool getmouselocation". I would like to detect the current mouse cursor type such as pointer, beam, or hand cursor from bash terminal or python code. Would this be possible? Thank you. June 回答1: You can use xdotool to continuously click where the link would be until the program notices the window title changes. When the window title changes, that means the link has been clicked, and the new page is loading.

问题 I know that I can get the current location of the mouse cursor by executing "xdotool getmouselocation". I would like to detect the current mouse cursor type such as pointer, beam, or hand cursor from bash terminal or python code. Would this be possible? Thank you. June 回答1: You can use xdotool to continuously click where the link would be until the program notices the window title changes. When the window title changes, that means the link has been clicked, and the new page is loading.

问题 I am getting an issue here: conn = psycopg2.connect(conn_string) cursor = conn.cursor() sql = """ SELECT DISTINCT (tenor_years) FROM bond_pnl WHERE country = '%s' """ % country cursor.execute(sql) print(cursor.fetchall()) print(cursor.rowcount) It gives the following output: [] 11 which means that cursor.rowcount is 11 but cursor.fetchall() is empty list. I have already tried doing this: conn.set_session(readonly=True, autocommit=True) and this solution as well :Click to see Any help

问题 I am getting an issue here: conn = psycopg2.connect(conn_string) cursor = conn.cursor() sql = """ SELECT DISTINCT (tenor_years) FROM bond_pnl WHERE country = '%s' """ % country cursor.execute(sql) print(cursor.fetchall()) print(cursor.rowcount) It gives the following output: [] 11 which means that cursor.rowcount is 11 but cursor.fetchall() is empty list. I have already tried doing this: conn.set_session(readonly=True, autocommit=True) and this solution as well :Click to see Any help

问题 I am using python 3.6, mysql-community-server-8.0.11-1 and using fedora 28 I am trying to setup mysql for my django application But I am receiving Segmentation fault (myblogvenv) [saurabhkumar@localhost myblog]$ python manage.py runserver Performing system checks... Segmentation fault (core dumped) If I use the default sqlite3 database, server comes up. Also when I run django-admin dbshell I get the following error: (myblogvenv) [saurabhkumar@localhost myblog]$ django-admin dbshell Traceback

问题 I am using python 3.6, mysql-community-server-8.0.11-1 and using fedora 28 I am trying to setup mysql for my django application But I am receiving Segmentation fault (myblogvenv) [saurabhkumar@localhost myblog]$ python manage.py runserver Performing system checks... Segmentation fault (core dumped) If I use the default sqlite3 database, server comes up. Also when I run django-admin dbshell I get the following error: (myblogvenv) [saurabhkumar@localhost myblog]$ django-admin dbshell Traceback

问题 I would like to create a numpy 2d-array based on values in a numpy 3d-array, using another numpy 2d-array to determine which element to use in axis 3. import numpy as np #-------------------------------------------------------------------- arr_3d = np.arange(2*3*4).reshape(2,3,4) print('arr_3d shape=', arr_3d.shape, '\n', arr_3d) arr_2d = np.array(([3,2,0], [2,3,2])) print('\n', 'arr_2d shape=', arr_2d.shape, '\n', arr_2d) res_2d = arr_3d[:, :, 2] print('\n','res_2d example using element 2 of

问题 I would like to create a numpy 2d-array based on values in a numpy 3d-array, using another numpy 2d-array to determine which element to use in axis 3. import numpy as np #-------------------------------------------------------------------- arr_3d = np.arange(2*3*4).reshape(2,3,4) print('arr_3d shape=', arr_3d.shape, '\n', arr_3d) arr_2d = np.array(([3,2,0], [2,3,2])) print('\n', 'arr_2d shape=', arr_2d.shape, '\n', arr_2d) res_2d = arr_3d[:, :, 2] print('\n','res_2d example using element 2 of

问题 I would like to create a numpy 2d-array based on values in a numpy 3d-array, using another numpy 2d-array to determine which element to use in axis 3. import numpy as np #-------------------------------------------------------------------- arr_3d = np.arange(2*3*4).reshape(2,3,4) print('arr_3d shape=', arr_3d.shape, '\n', arr_3d) arr_2d = np.array(([3,2,0], [2,3,2])) print('\n', 'arr_2d shape=', arr_2d.shape, '\n', arr_2d) res_2d = arr_3d[:, :, 2] print('\n','res_2d example using element 2 of