以下文字与答案无关
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y'=2xcosx-x2sinx
B:y'=2xcosx+x2sinx
C:y'=x2cosx-2xsinx
D:y'=xcosx-x2sinx
'ppy Ne'
'ppy N'
'py New'
C:'ppy Ne'
D:'ppy N'
">2.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 Ne'
'py New'
C:'ppy Ne'
D:'ppy Ne'
'ppy N'
">3.设s = "Happy New Year", 则s3:8]的值为: 选项: A:'py Ne’
B:'ppy Ne'
'py New'
C:'ppy Ne'
D:'ppy Ne'
'ppy N'
'11'
B:'2'
C:'3'
D:都不是
'123456'
B:'579'
C:'123+456'
D:'456123'
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')
'ppy
C:'py New
D:'py
">7.设s="Happy New Year",则s3:8]的值为()。 选项: A:'ppy
B:'ppy
C:'py New
D:'py
'1',2,3
B:1 2 3
C:'1' 2 3
D:'1'
2
3
'k'
B:'#000000'
C:(0.0, 0.0, 0.0)
D:'b'
'2.5+1+2'
C:'5.5'
D:5.5
">10.表达式eval("5/2+5%2+5//2")的结果是( )。 选项: A:'2.5_1_2'
B:'2.5+1+2'
C:'5.5'
D:5.5
import matplotlib.pyplot as plt
plt.subplots(2, 2, sharex=________)
plt.show()
以上程序的横线处填充以下哪个取值,可以共享每列子图的坐标轴?( )
选项: A:'col'
B:'row'
C:'all'
D:'none'
a="1,'a', 2, 'b']"
B:a = {1,'a', 2, 'b']}
C:a = 1,'a', 2, 'b']]
D:a=(1,'a', 2, '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, 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()
def foo(arg1, arg2='test', arg3=100):
print (arg1, arg2, arg3)
选项: A:foo(arg1 = 'where', arg2 = 'what')
B:foo('where')
C:foo('where','what')
D:foo(arg = 'where')
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()
Pattern = re.compile(r"\u4e00-\u9fa5]+")
Result = pattern.findall(words)
Print(result)
运行上述程序,最终得到的结果为()。
选项: A:'你好']
B:'你好', '我是你的']
C:'你好', '我是你的', '很高兴']
D:'你好'
">16.阅读下面一段示例程序:Import re
Words = "你好,Jane!我是你的fans,很高兴meet you"
Pattern = re.compile(r"\u4e00-\u9fa5]+")
Result = pattern.findall(words)
Print(result)
运行上述程序,最终得到的结果为()。
选项: A:'你好']
B:'你好', '我是你的']
C:'你好', '我是你的', '很高兴']
D:'你好'
'k'
B:'#000000'
C:(0.0, 0.0, 0.0)
D:'b'
pattern = re.compile(r"\u4e00-\u9fa5]+")
result = pattern.findall(words)
print(result)
运行上述程序,最终得到的结果为()。
选项: A:'你好']
B:'你好', '我是你的']
C:'你好', '我是你的', '很高兴']
D:'你好'
">18.阅读下面一段示例程序:import re
words = "你好,Jane!我是你的fans,很高兴meet you"
pattern = re.compile(r"\u4e00-\u9fa5]+")
result = pattern.findall(words)
print(result)
运行上述程序,最终得到的结果为()。
选项: A:'你好']
B:'你好', '我是你的']
C:'你好', '我是你的', '很高兴']
D:'你好'