numpy base 1

Coding #:. 8 UTF- 
# numpy ndarry: a multi-dimensional array of objects 
Import numpy NP AS 
# to generate a random array 
data np.random.randn = (2,. 3) 
data 

# add data to a series of mathematical operations 
data 10 * 
data + data 

# Array the dtype attributes used to describe the data type array 
data.shape 
data.dtype 
# generated array ndarray 
DATAl = [. 6, 7.5,. 8, 0,. 1] 
of arr1 = np.array (DATAl) 
of arr1 

DATA2 = [[. 1, 2 ,. 3,. 4], [. 5,. 6,. 7,. 8]] 
arr2 is = np.array (DATA2) 
arr2 is 

# ndim shape by checking array property 
arr2.ndim 
arr2.shape 
arr1.dtype 
arr2.dtype 

# other array generating function 
np.zeros (10) 
np.zeros ((. 3,. 6)) 
np.empty ((2,. 3, 2))  
np.arange (15)
np.ones ((2,. 3))

# Ndarry data type 
Import numpy AS NP 
of arr1 np.array = ([. 1, 2,. 3], DTYPE = np.float64) 
arr2 is np.array = ([. 1, 2,. 3], DTYPE = np.int32) 

of arr1. DTYPE 
arr2.dtype 

# asType method of converting an array of data type 

# integer to Floating- 
ARR = np.array ([. 1, 2,. 3,. 4,. 5]) 
ARR 

arr.dtype 
float_arr = arr.astype (NP. float64) 
float_arr.dtype 

# floating point to integer conversion 
ARR = np.array ([1.2, 2.4, 0.3, -1.4, 15.6]) 
ARR 
arr.astype (np.int32) 

# string into a number 
numeric_strings = np .Array ([ '1.25', '-9.6', '42 is'], dtype = np.string_) 
numeric_strings.astype (a float) 

# another property using the dtype array  
int_array = np.arange (10)
calibers = np.array ([. 22, .270 , .357, .380, .44, .50 ], dtype = np.float64)
int_array.astype (calibers.dtype) 

# incoming data using the type code Type 
empty_uint32 np.empty = (. 8, DTYPE = 'U4') 
empty_uint32 

# numpy array arithmetic 
arr = np.array ([[1. , 2., 3 .], [4., 5. the, 6. the]]) 
ARR 

# multiplying 
ARR ARR * 
# subtraction 
ARR-ARR 

# with the calculated scalar arithmetic operations 
. 1 / ARR 
ARR ** 0.5 

between the same size array # Comparative 
arr2 is np.array = ([[0., 4., 1.], [7. The, 2., 12. The]]) 
arr2 is 
arr2 is> ARR

Reference books: Data analysis was performed using the python

Author: Zhou Hua 520

Source: https: //www.cnblogs.com/xfzh193/

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