设s = "Happy New Year", 则s3:8]的值为:
选项:
A:
'py Ne'
B:
'ppy Ne'
'ppy N'
'py New'
C:
'ppy Ne'
D:
'ppy Ne'
'ppy N'
'py Ne'
'ppy Ne'
'ppy N'
'py New'
'ppy Ne'
'ppy Ne'
'ppy N'
以下文字与答案无关
提示:有些试题内容 显示不完整,文字错误 或者 答案显示错误等问题,这是由于我们在扫描录入过程中 机器识别错误导致,人工逐条矫正总有遗漏,所以恳请 广大网友理解。
'ppy Ne'
'ppy N'
'py New'
C:'ppy Ne'
D:'ppy N'
">1.设s = "Happy New Year", 则s3:8]的值为: 选项: A:'py Ne'
B:'ppy Ne'
'ppy N'
'py New'
C:'ppy Ne'
D:'ppy N'
'ppy N'
C:'py Ne'
D:'py New'
">2.设s="Happy New Year",则s3:8]的值为()。 选项: A:‘ppy Ne'
B:'ppy N'
C:'py Ne'
D:'py New'
'ppy N'
C:'py Ne'
D:'py New'
">3.设s="Happy New Year",则s3:8]的值为()。 选项: A:'ppy Ne'
B:'ppy N'
C:'py Ne'
D:'py New'
False
C:'n'
D:'Y'
">4.已知“ans='n'",则表达式“ans=='y'or'Y'"的值是() 选项: A:True
B:False
C:'n'
D:'Y'
username=input('请输入用户名')
password=input('请输入密码')
if username=='jxz'and password=='123456':
print('登陆成功')
else:
print('登陆失败')
B:username=input('请输入用户名')
password=input('请输入密码')
if username=='jxz' or password=='123456':
print('登陆成功')
else:
print('登陆失败')
C:username=’jxz’
password=’123456’
if username='jxz'and password='123456':
print('登陆成功')
else:
print('登陆失败')
D:username=input('请输入用户名')
password=input('请输入密码')
if username='jxz'and password='123456':
print('登陆成功')
elif:
print('登陆失败')
lst的值为 1,'d'], 2, 'b', 3, 'c']
B:lst的值为 1, 'd', 2, 'b', 3, 'c']
C:lst的值为 1, 'd', 'b', 3, 'c']
D:报错
'k'
B:'#000000'
C:(0.0, 0.0, 0.0)
D:'b'
'123456'
B:'579'
C:'123+456'
D:'456123'
Import numpy as np
Import matplotlib.pyplot as plt
Data = np.array(20, 50, 10, 15, 30, 55])
Pie_labels = np.array('A', 'B', 'C', 'D', 'E', 'F'])
Plt.pie(data, labels=pie_labels)
Plt.show()
B:Import numpy as np
Import matplotlib.pyplot as plt
Data = np.array(20, 50, 10, 15, 30, 55])
Pie_labels = np.array('A', 'B', 'C', 'D', 'E', 'F'])
Plt.pie(data, radius=1.5, labels=pie_labels)
Plt.show()
C:Import numpy as np
Import matplotlib.pyplot as plt
Data = np.array(20, 50, 10, 15, 30, 55])
Pie_labels = np.array('A', 'B', 'C', 'D', 'E', 'F'])
Plt.pie(data, radius=1.5, explode=0, 0.2, 0, 0, 0, 0],labels=pie_labels)
Plt.show()
D:Import numpy as np
Import matplotlib.pyplot as plt
Data = np.array(20, 50, 10, 15, 30, 55])
Pie_labels = np.array('A', 'B', 'C', 'D', 'E', 'F'])
Plt.pie(data, radius=1.5, wedgeprops={'width': 0.6},labels=pie_labels)
Plt.show()
职称='副教授' OR 性别='男'
B:职称='副教授' AND 性别='男'
C:BETWEEN '副教授' AND '男'
D:IN ('副教授','男')