代码(Python3) class Solution: def missingNumber(self, nums: List[int]) -> int: # ans 初始化为 0 ^ n = n ,因为下标的范围为 [0, n - 1] ans: int = len(nums) # 带下标遍历 nums for i, num in enumerate(nums): # 异或下标 ans ^= i # 异或数组内的数 ans ^= num # 此时 ...
nlist= list(range(len(nums)+1))ifnums == nlist[0:-1]:returnlen(nums)foriinrange(0,len(nums)):ifnums[i] !=nlist[i]:returnnlist[i] Runtime:160 ms, faster than30.48% of Python3 online submissions for Missing Number. Memory Usage:15.1 MB, less than39.86% of Python3 online submissi...
代码如下: classSolution(object):defmissingNumber(self, arr):""":type arr: List[int] :rtype: int"""arr.sort() diff= (arr[-1] - arr[0])/(len(arr))foriinrange(len(arr)-1):ifarr[i] + diff != arr[i+1]:returnarr[i] +diffreturnarr[0]...
Write a Python program to use set operations to find the missing number in an array representing a continuous range. Write a Python program to iterate over a range from 10 to 20 and return the number that is not present in the array. Write a Python program to implement a function that t...
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Given N integers, you are supposed to find the smallest positive integer that is NOT in the given list. Input Specification: Each input file contains one test case. For each case, the first line gives a positive integer N (≤105). Then N integers are given in the next line...
Python Code:# Define a function to find the first missing positive integer in a list def first_missing_number(nums): # Check if the list is empty, return 1 if it is if len(nums) == 0: return 1 # Sort the list in ascending order nums.sort() # Initialize the smallest positive ...
在pandas里使用浮点值NaN(Not a Number)表示浮点数和非浮点数中的缺失值,用NaT表示时间序列中的缺失值,此外python内置的None值也会被当作是缺失值。需要注意的是,有些缺失值也会以其他形式出现,比如说用NULL,0或无穷大(inf)表示。 pip install d2l -i https://pypi.tuna.tsinghua.edu.cn/simple...
在pandas里使用浮点值NaN(Not a Number)表示浮点数和非浮点数中的缺失值,用NaT表示时间序列中的缺失值,此外python内置的None值也会被当作是缺失值。需要注意的是,有些缺失值也会以其他形式出现,比如说用NULL,0或无穷大(inf)表示。 pip install d2l -i https://pypi.tuna.tsinghua.edu.cn/simple...
You add another instruction to your LazyFrame, this time telling it to fill any existing null values in the tip column with the number 0. Then, you apply the instruction to the tip column using the .with_columns() context and specify your exact requirements as its parameter. You use with...