Np.all

# np.all checks if all of the elements along an axis evaluate to true

a = [x for x in range(0, 10)]
b = np.array(a)
print(np.all(a ==b))

# output is True

Similar codes

1 vote277 views1 answer
Label change in tkinter
Python
0 vote259 views1 answer
2 plater die game in python
Python
16 votes243 views1 answer
Super idol
Python
0 vote270 views1 answer
Build mac app from python script
Python
0 vote254 views1 answer
Pandas chesk if object is string or tuple
Python
2 votes278 views4 answers
Difference between 2 dataframes
Python
19 votes271 views1 answer
Find root directory of jupyter notebook
Python
-1 vote278 views2 answers
How to convert 2 dimensional in 1 dimensional array
Python
12 votes225 views1 answer
Convert integer column to string in pandas
Python
0 vote290 views1 answer
Matplotlib set dpi 300
Python