Mẹo Hướng dẫn dùng numpy mode python
Kinh Nghiệm về Hướng dẫn dùng numpy mode python Chi Tiết
Dương Anh Tuấn đang tìm kiếm từ khóa Hướng dẫn dùng numpy mode python được Update vào lúc : 2022-12-18 18:14:06 . Với phương châm chia sẻ Mẹo về trong nội dung bài viết một cách Chi Tiết 2022. Nếu sau khi tham khảo Post vẫn ko hiểu thì hoàn toàn có thể lại Comment ở cuối bài để Tác giả lý giải và hướng dẫn lại nha.Mode refers to the most repeating element in the array. We can find the mode from the NumPy array by using the following methods.
Nội dung chính Show- Method 1: Using scipy.stats packageMethod 2: Using Statistics moduleMethod 3: Using user-defined Function
Method 1: Using scipy.stats package
Let us see the syntax of the mode() function
Syntax :
variable = stats.mode(array_variable)
Note : To apply mode we need to create an array. In python, we can create an array using numpy package. So first we need to create an array using numpy package and apply mode() function on that array. Let us see examples for better understanding.
Example 1:
Applying on 1-D array
Python3
# importing required packages
from scipyimport stats as st
import numpy as np
101112 1314151415181518151815[5]415[5]615[5]8[5]9
# importing required packages0
# importing required packages1
# importing required packages2# importing required packages3
Output :
ModeResult(mode=array([2]), count=array([3]))Example 2:
Applying on a 2-D array
Python3
# importing required packages4
import numpy as np
from scipyimport stats as st
from1
from2
12 from414151815[5]415[5]615[5]8scipy4scipy5scipy6
141518151815181518scipy4scipy5scipy6
[5]615[5]815stats as st315stats as st515[5]6scipy4scipy5scipy6import1
15stats as st315import515stats as st51518scipy4scipy5scipy6
1815[5]415[5]615import515import1102103104
# importing required packages2
106Output :
ModeResult(mode=array([[1, 2, 2, 9, 2]]), count=array([[2, 2, 1, 2, 2]]))
Method 2: Using Statistics module
Like NumPy module, the statistics module also contains statistical functions like mean , median , mode….etc . So let us see an example of a mode using the statistics module.
Example :
Python3
import
108import numpy as np
11111212 13stats as st515import515stats as st315import115import115import115import115[5]815[5]815[5]615135[5]41518151415141514151415141514[5]9
152
# importing required packages2
154Output :
1Method 3: Using user-defined Function
Here we are not using any predefines functions for getting mode of a series. Let us see an example with demonstrates how to calculate mode without predefined functions.
Example :
Python3
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