How to solve the TypeError caused by array and byte splicing in Python?

TypeError solution for Python arrays and byte data splicing

In Python data processing, compatibility problems between different data types often occur. A common error is trying to splice byte data directly with an array, which raises TypeError: can only concatenate array (not "bytes") to array error.

This article will use code examples to demonstrate how to resolve this issue. The following code snippet shows a scenario where you try to splice the header and data of the ZIP file:

 self.zip_head = array("b", [80, 75, 3, 4, 10, 0, 0, 0])
self.data: bytes = resp.content
zip_data = self.zip_head self.data[8:] # TypeError is raised here

In the code, self.zip_head is created using the array module, while self.data[8:] is the byte data obtained from the HTTP response. Directly splicing the two will cause type errors because array object and bytes object are incompatible.

The solution is to convert self.data[8:] into an array object and then splice it. The improved code is as follows:

 from array import array

# Assume that self.zip_head has been defined self.zip_head = array("B", [80, 75, 3, 4, 10, 0, 0, 0])

# Get data from HTTP response self.data: bytes = resp.content

# Convert byte data to array object data_array = array("B", self.data[8:])

# Splice two array objects zip_data = self.zip_head data_array

TypeError was successfully avoided by converting self.data[8:] to an array object with the same type as self.zip_head ("B" means unsigned characters). This method improves the robustness and efficiency of the code and effectively deals with compatibility issues of different data types. Note that 'b' is changed to 'B' here to ensure that the data types are consistent.

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