JSON Data Cleaning for Time Series Data

Problem Description

The problem involves cleaning JSON data representing time series data captured by Linux. The data contains occasional instances where numeric values, such as open, high, low, close, and volume, are recorded as zeros. These zero values need to be replaced with the respective values from the previous non-zero entry to ensure the integrity of the time series data.

Solution Overview

The provided solution is implemented in Python and utilizes the pandas library for data manipulation. It includes functionality to read JSON data in chunks, clean the data by replacing zero values with the previous non-zero values, and write the cleaned data back to a JSON file.