比較兩個NumPy陣列,如果一個數組大於另一個數組,則返回True
要比較兩個陣列,如果一個數組大於另一個數組則返回True,請在Python NumPy中使用**numpy.char.greater()**方法。
NumPy 提供了全面的數學函式、隨機數生成器、線性代數例程、傅立葉變換等等。它支援各種硬體和計算平臺,並且與分散式、GPU和稀疏陣列庫良好相容。
步驟
首先,匯入所需的庫:
import numpy as np
建立兩個一維字串陣列:
arr1 = np.array(['Bella', 'Tom', 'John', 'Kate', 'Amy', 'Brad', 'aaa']) arr2 = np.array(['Cio', 'Tom', 'Cena', 'Kate', 'Adams', 'brad', 'aa'])
顯示陣列:
print("Array 1...
", arr1)
print("
Array 2...
", arr2)獲取陣列的型別:
print("
Our Array 1 type...
", arr1.dtype)
print("
Our Array 2 type...
", arr2.dtype)獲取陣列的維度:
print("
Our Array 1 Dimensions...
",arr1.ndim)
print("
Our Array 2 Dimensions...
",arr2.ndim)獲取陣列的形狀:
print("
Our Array 1 Shape...
",arr1.shape)
print("
Our Array 2 Shape...
",arr2.shape)要比較兩個陣列,如果一個數組大於另一個數組則返回True,請在Python NumPy中使用numpy.char.greater()方法。arr1和arr2是形狀相同的兩個輸入字串陣列:
print("
Result...
",np.char.greater(arr1,arr2))
示例
import numpy as np
# Create two One-Dimensional arrays of string
arr1 = np.array(['Bella', 'Tom', 'John', 'Kate', 'Amy', 'Brad', 'aaa'])
arr2 = np.array(['Cio', 'Tom', 'Cena', 'Kate', 'Adams', 'brad', 'aa'])
# Display the arrays
print("Array 1...
", arr1)
print("
Array 2...
", arr2)
# Get the type of the arrays
print("
Our Array 1 type...
", arr1.dtype)
print("
Our Array 2 type...
", arr2.dtype)
# Get the dimensions of the Arrays
print("
Our Array 1 Dimensions...
",arr1.ndim)
print("
Our Array 2 Dimensions...
",arr2.ndim)
# Get the shape of the Arrays
print("
Our Array 1 Shape...
",arr1.shape)
print("
Our Array 2 Shape...
",arr2.shape)
# To compare and return True if an array is greater than another array, use the numpy.char.greater() method in Python Numpy
# The arr1 and arr2 are the two input string arrays of the same shape.
print("
Result...
",np.char.greater(arr1,arr2))輸出
Array 1... ['Bella' 'Tom' 'John' 'Kate' 'Amy' 'Brad' 'aaa'] Array 2... ['Cio' 'Tom' 'Cena' 'Kate' 'Adams' 'brad' 'aa'] Our Array 1 type... <U5 Our Array 2 type... <U5 Our Array 1 Dimensions... 1 Our Array 2 Dimensions... 1 Our Array 1 Shape... (7,) Our Array 2 Shape... (7,) Result... [False False True False True False True]
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