ValueError when running Python function in data pipeline

I'm building a data pipeline using Python and I'm running into an issue when trying to execute a certain function. The error message I'm receiving is: ValueError: Could not convert string to float: 'N/A'

Here is the function in question:

def process_data(data):
    for item in data:
        # Do some processing...
        value = float(item[1])
        if value > 0:
            processed_item = process_item(item)
            yield processed_item

I'm calling the function like this:

data = [('A', '1.5'), ('B', '2.7'), ('C', 'N/A'), ('D', '4.1'), ('E', '5.9')]
processed_data = process_data(data)

Code:

def process_data(data):
    for item in data:
        # Do some processing...
        value = float(item[1])
        if value > 0:
            processed_item = process_item(item)
            yield processed_item

data = [('A', '1.5'), ('B', '2.7'), ('C', 'N/A'), ('D', '4.1'), ('E', '5.9')]
processed_data = process_data(data)

Error message:

ValueError: Could not convert string to float: 'N/A'

The expected outcome was to process the items in the data list and yield the processed items if the value of the item was greater than 0.

The parameter value of float(parameter) must be a number or a string that can be converted into a floating point number.

The value 'N/A' cannot be converted because it is not a number.

You could try:

try:
    value = float(item[1])
except ValueError:
    value = 0

Assuming you want anything that is not a number to become zero, which will then be filtered out by your if value > 0: statement.