vzl.sort()assertPythonUtil.uniqueElements(vzl)forzoneinvzl: datagram.addUint32(zone)# send the messageself.send(datagram) 开发者ID:Toonerz,项目名称:Panda3d-1.0.5,代码行数:19,代码来源:ClientRepository.py [as 别名]defsendRemoveZoneMsg(self, zoneId, visibleZoneList=None):# This method is on...
",\" [Y/n]"ifraw_input("")notin["n","N"]: gs.playMove(move)returnmove 开发者ID:didmar,项目名称:blokus3d-python,代码行数:33,代码来源:interface.py 示例3: uniqueIdx ▲点赞 4▼ defuniqueIdx(L):""" Find indexes ofuniqueelements in L based on their string representation (works bot...
1]) np.intersect1d(ar1,ar2) --- array([1, 3, 4, 5]) np.intersect1d(ar1,ar2,return_indices=True) --- (array([1, 3, 4, 5]), ## Common Elements array([0, 2, 3, 4], dtype=int64), array([5, 0, 1, 2], dtype=int64)) 1. 2. 3. 4. 5. 6. 7. 8....
To get unique values in an array, we can use the NumPy unique function in Python. This identifies elements in an array, with options for additional functionality. Its basic use returns sorted unique values, but parameters like return_index, return_inverse, and return_counts provide indices, inv...
Here, we are implementing apython program to check whether all elements of a list are unique or not? It's very simple to check, by following two steps Convert the list in a set (as you should know that set contains the unique elements) – it will remove the duplicate elements if any...
Python Code: # Importing the NumPy library with an alias 'np'importnumpyasnp# Creating a NumPy array 'x' with repeated elementsx=np.array([10,10,20,20,30,30])# Printing the original arrayprint("Original array:")print(x)# Finding and printing the unique elements in the array 'x'print...
Find the unique elements of an array.Returns the sorted unique elements of an array. There are three optional outputs in addition to the unique elements: the indices of the input array that give the unique values the indices of the unique array that reconstruct the input array ...
unique(Python) *文件多列整体去冗余 #coding:utf-8 outfile=open('/linuxdata4/panqi/XXX/filter_0_S_A_E_dup.txt', 'w') f = open('/linuxdata4/panqi/XXX/filter_0_S_A_E.bed','r') lines_seen = set() # Build an unordered collection of unique elements....
A more effective and pythonic approach to solve the given problem is to use theset()method. Set is a built-in data type that does not contain any duplicate elements. Read more about sets here –“The Ultimate Guide to Python Sets“ ...
It returns a numpy array containing the unique values present in the Series. The order of the elements in the array corresponds to the order of the first occurrence in the original Series. Create Pandas Series Pandas Series can be created in several ways by using Python lists & dictionaries,...