【学习笔记】Numpy Exercise 100

Numpy Exercise 100

1.Import the numpy package under the name np (★☆☆)

Import numpy as np

2.Print the numpy version and the configuration (★☆☆)

print(np.__version__)
print(np.config())

3.Create a null vector of size 10 (★☆☆)

data = np.zeros(10)

4.How to get the documentation of the numpy add function from the command line? (★☆☆)

print(np.info(np.add))

5.Create a null vector of size 10 but the fifth value which is 1 (★☆☆)

data = np.zeros(10)
data[5]=1

6.Create a vector with values ranging from 10 to 49 (★☆☆)

data = np.range(10,50)

7.Reverse a vector (first element becomes last) (★☆☆)

data = np.range(10)
data[::-1]

8.Create a 3x3 matrix with values ranging from 0 to 8 (★☆☆)

data = np.arange(0,9).reshape((3,3))

9.Find indices of non-zero elements from [1,2,0,0,4,0] (★☆☆)

data = np.nonzero([1,2,0,0,4,0])

10.Create a 3x3 identity matrix (★☆☆)

data = np.eye(3)

11.Create a 3x3x3 array with random values (★☆☆)

data = np.random.random((3,3,3))

12.Create a 10x10 array with random values and find the minimum and maximum values (★☆☆)

data = np.random.random((10,10))
dataMin,dataMax = data.min(),data.max()

13.Create a random vector of size 30 and find the mean value (★☆☆)

data = np.random.random(30)
dataMean = data.mean()

14.Create a 2d array with 1 on the border and 0 inside (★☆☆)

data = np.ones((4,4))
dat