One of the most common errors you may encounter when using Python is:
NameError: name 'np' is not defined This error occurs when you import the python library NumPy, but fail to give it the alias of np when importing it.
The following examples illustrate how this problem occurs and how to fix it.
Example 1: import numpy
Suppose you import the NumPy library using the following code:
import numpy If you then attempt to define a numpy array of values, you’ll get the following error:
#define numpy array
x = np.random.normal(loc=0, scale=1, size=20)
#attempt to print values in arrary
print(x)
Traceback (most recent call last):
----> 1 x = np.random.normal(loc=0, scale=1, size=20)
2 print(x)
NameError: name 'np' is not defined
To fix this error, you need provide the alias of np when importing NumPy:
import numpy as np #define numpy array x = np.random.normal(loc=0, scale=1, size=20) #print values in arrary print(x) [-0.93937656 -0.49448118 -0.16772964 0.44939978 -0.80577905 0.48042484 0.30175551 -0.15672656 -0.26931062 0.38226115 1.4472055 -0.13668984 -0.74752684 1.6729974 2.25824518 0.77424489 0.67853607 1.46739364 0.14647622 0.87787596]
Example 2: from numpy import *
Suppose you import all functions from the NumPy library using the following code:
from numpy import *
If you then attempt to define a numpy array of values, you’ll get the following error:
#define numpy array
x = np.random.normal(loc=0, scale=1, size=20)
#attempt to print values in arrary
print(x)
Traceback (most recent call last):
----> 1 x = np.random.normal(loc=0, scale=1, size=20)
2 print(x)
NameError: name 'np' is not defined
To fix this error, you need provide the alias of np when importing NumPy:
import numpy as np #define numpy array x = np.random.normal(loc=0, scale=1, size=20) #print values in arrary print(x) [-0.93937656 -0.49448118 -0.16772964 0.44939978 -0.80577905 0.48042484 0.30175551 -0.15672656 -0.26931062 0.38226115 1.4472055 -0.13668984 -0.74752684 1.6729974 2.25824518 0.77424489 0.67853607 1.46739364 0.14647622 0.87787596]
Alternatively, you can choose to not use the np syntax at all:
import numpy #define numpy array x = numpy.random.normal(loc=0, scale=1, size=20) #print values in arrary print(x) [-0.93937656 -0.49448118 -0.16772964 0.44939978 -0.80577905 0.48042484 0.30175551 -0.15672656 -0.26931062 0.38226115 1.4472055 -0.13668984 -0.74752684 1.6729974 2.25824518 0.77424489 0.67853607 1.46739364 0.14647622 0.87787596]
Note: The syntax “import numpy as np” is commonly used because it offers a more concise way to use NumPy functions. Instead of typing “numpy” each time, you can simply type in “np” which is quicker and easier to read.
Additional Resources
How to Fix: NameError name ‘pd’ is not defined
How to Fix: No module named pandas