In this article, we are going to explore the **“typeerror: can’t multiply sequence by non-int of type ‘numpy.float64’.”**

If this ** “cant multiply sequence by non-int of type numpy.float64”** error gives you a headache?

Then keep reading, as we will help you on how to troubleshoot this error.

Let’s get started by understanding what this error means and why it occurs in your code.

**What is NumPy Arrays?**

The **NumPy arrays** are a powerful data structure in Python that allows users to perform mathematical operations on large sets of data efficiently.

Moreover,** NumPy arrays** are similar to lists in Python, but with added functionality and optimized for scientific computing.

**What is “typeerror: can’t multiply sequence by non-int of type ‘numpy.float64′”**

The ** “typeerror can’t multiply sequence by non-int of type numpy.float64”** error message usually occurs when you try to perform a multiplication operation.

Specifically, a ‘numpy.float64’ type, a NumPy array, and a non-integer data type.

It indicates that the data types of the two arrays are not compatible, and NumPy cannot perform the multiplication operation.

This is because you can only multiply a sequence by an integer value, which repeats the sequence that many times.

However, if you try to multiply a sequence by a non-integer value, such as a float or numpy.float64, you will encounter this error message.

**Why does this can’t multiply sequence by non-int of type ‘numpy.float64’ occur?**

**Why does this can’t multiply sequence by non-int of type ‘numpy.float64’ occur?**

This error message usually occurs in the context of using NumPy arrays and can be caused by several reason, such as:

→ Incorrect data type conversion

→ incorrect indexing

→ Invalid data shape.

Take note that it is important to address this error in order to ensure that the program functions correctly and produces the desired output.

**How to solve the “typeerror: can’t multiply sequence by non-int of type ‘numpy.float64”?**

Here are the different solutions that you may use to resolve the** “can’t multiply sequence by non-int of type ‘numpy.float64”** error message.

**Solution 1: Convert the sequence to a NumPy array**

You just have to convert the sequence to a numpy array before performing the multiplication operation.

**import numpy as np
seq = [1.0, 2.0, 3.0]
arr = np.array(seq)
result = arr * 2.0
print(result)
**

In this solution, we first convert the sequence ‘seq’ to a NumPy array using np.array().

Then, perform the multiplication between the array and a float value of 2.0.

This results in a new array ‘result’ with the expected output.

**Output:**

**[2. 4. 6.]**

**Solution 2: Use NumPy’s multiply() function**

You can use the ** numpy.multiply() function** instead of the * operator to perform the multiplication operation.

**import numpy as np
seq = [1.0, 2.0, 3.0, 4.0, 5.0 ]
result = np.multiply(seq, 2.0)
print(result)
**

In this solution, we use the multiply() function to perform multiplication between the sequence ‘seq’ and a float value of 2.0.

**Output:**

**[ 2. 4. 6. 8. 10.]**

**Solution 3: Use a for loop**

You can use a for loop to perform the multiplication operation.

**sample_list = [1.0, 2.0, 3.0, 4.0, 5.0]
result = []
for x in sample_list:
result.append(x * 3.0)
print(result)**

Here, we used a for loop to iterate over each element of the sequence and append the result of the multiplication to a new list.

**Output:**

**[3.0, 6.0, 9.0, 12.0, 15.0]**

**Solution 4: Use the map() function**

You can use the map() function to perform the multiplication operation.

**sample_list = [1, 2, 3, 4, 5]
result = list(map(lambda x: x * 3.5, sample_list))
print(result)**

Here, we used the ** map() function** to apply a lambda function that multiplies each element of the sequence by 3.5.

**Output:**

**[3.5, 7.0, 10.5, 14.0, 17.5]**

**Conclusion**

So, that’s the end of our discussion for today.

By executing all the effective solutions for the ** “typeerror: cant multiply sequence by non-int of type numpy.float64” **that this article has already provided above.

We can guarantee that it will resolve the ** “can’t multiply sequence by non-int of type Numpy float64”** error message.

We are hoping that this article provides you with sufficient solutions.

You could also check out other “**typeerror**” articles that may help you in the future if you encounter them.

- Typeerror: file must have ‘read’ and ‘readline’ attributes
- Typeerror: int object does not support item assignment
- Uncaught typeerror: illegal invocation

Thank you very much for reading to the end of this article.