Python: Read several json files from a folder

Python: Read several json files from a folder

To read several JSON files from a folder in Python, you can use the os module to list the files in the folder and the json module to parse the JSON data from each file. Here's how you can achieve this:

import os import json folder_path = '/path/to/your/folder' # Get a list of all JSON files in the folder json_files = [file for file in os.listdir(folder_path) if file.endswith('.json')] # Read and process each JSON file for json_file in json_files: file_path = os.path.join(folder_path, json_file) with open(file_path, 'r') as f: data = json.load(f) # Process the data from the JSON file print(data) 

Replace /path/to/your/folder with the actual path to the folder containing the JSON files. This code lists all files in the folder, filters out only those with a .json extension, and then iterates through each JSON file, loading its contents using json.load().

Keep in mind that this example assumes that the JSON files are formatted properly and contain valid JSON data. If any of the JSON files are malformed, it might raise an exception when trying to parse them. You can add error handling to address such cases if needed.

Examples

  1. How to read all JSON files from a folder in Python?

    • To read all JSON files from a folder, you can use os.listdir() to list all files, filter for JSON files, and then read each one with json.load().
    import os import json folder_path = './json_files/' # Get all JSON files in the folder json_files = [f for f in os.listdir(folder_path) if f.endswith('.json')] data = [] for file_name in json_files: with open(os.path.join(folder_path, file_name), 'r') as file: data.append(json.load(file)) print("Read data from all JSON files:", data) 
  2. How to read multiple JSON files and merge their contents in Python?

    • To merge the contents of multiple JSON files, you can read each file and concatenate them into a single structure, like a list.
    import os import json folder_path = './json_files/' json_files = [f for f in os.listdir(folder_path) if f.endswith('.json')] combined_data = [] for file_name in json_files: with open(os.path.join(folder_path, file_name), 'r') as file: combined_data.extend(json.load(file)) # Assuming each file contains a list of records print("Merged data from all JSON files:", combined_data) 
  3. How to read specific fields from multiple JSON files in Python?

    • To extract specific fields from multiple JSON files, you can read the files and use list comprehensions to select the desired fields.
    import os import json folder_path = './json_files/' json_files = [f for f in os.listdir(folder_path) if f.endswith('.json')] extracted_data = [] for file_name in json_files: with open(os.path.join(folder_path, file_name), 'r') as file: content = json.load(file) extracted_data.append({ 'field1': content['field1'], 'field2': content['field2'] }) print("Extracted fields from JSON files:", extracted_data) 
  4. How to read JSON files in parallel in Python?

    • To speed up reading from multiple JSON files, you can use concurrent.futures to read them in parallel.
    import os import json from concurrent.futures import ThreadPoolExecutor folder_path = './json_files/' json_files = [f for f in os.listdir(folder_path) if f.endswith('.json')] def read_json(file_name): with open(os.path.join(folder_path, file_name), 'r') as file: return json.load(file) with ThreadPoolExecutor() as executor: results = list(executor.map(read_json, json_files)) print("Read JSON files in parallel:", results) 
  5. How to read JSON files and handle errors in Python?

    • To handle errors while reading JSON files, you can use try-except blocks to catch exceptions and log them without stopping the entire process.
    import os import json import logging logging.basicConfig(level=logging.ERROR) folder_path = './json_files/' json_files = [f for f in os.listdir(folder_path) if f.endswith('.json')] valid_data = [] error_files = [] for file_name in json_files: try: with open(os.path.join(folder_path, file_name), 'r') as file: valid_data.append(json.load(file)) except Exception as e: logging.error(f"Error reading {file_name}: {e}") error_files.append(file_name) print("Valid data:", valid_data) print("Files with errors:", error_files) 
  6. How to read JSON files and extract specific values in Python?

    • To extract specific values from JSON files, you can read and retrieve specific keys or nested keys.
    import os import json folder_path = './json_files/' json_files = [f for f in os.listdir(folder_path) if f.endswith('.json')] extracted_values = [] for file_name in json_files: with open(os.path.join(folder_path, file_name), 'r') as file: content = json.load(file) extracted_values.append(content.get('desired_key', None)) # Get a specific key print("Extracted values:", extracted_values) 
  7. How to read JSON files and convert to Pandas DataFrame in Python?

    • If you need to convert the content of JSON files into a Pandas DataFrame, you can read the files and concatenate them.
    import os import json import pandas as pd folder_path = './json_files/' json_files = [f for f in os.listdir(folder_path) if f.endswith('.json')] data_frames = [] for file_name in json_files: with open(os.path.join(folder_path, file_name), 'r') as file: content = json.load(file) df = pd.json_normalize(content) # Normalize JSON to a DataFrame data_frames.append(df) # Concatenate all DataFrames combined_df = pd.concat(data_frames, ignore_index=True) print("Combined DataFrame:", combined_df) 
  8. How to read JSON files from nested directories in Python?

    • To read JSON files from nested folders, you can use os.walk() to recursively find all files and read those with a ".json" extension.
    import os import json folder_path = './json_files/' json_files = [] # Find all JSON files in the folder and subfolders for root, _, files in os.walk(folder_path): json_files.extend([os.path.join(root, f) for f in files if f.endswith('.json')]) all_data = [] for file_path in json_files: with open(file_path, 'r') as file: all_data.append(json.load(file)) print("Read JSON files from nested directories:", all_data) 
  9. How to read JSON files with different structures in Python?

    • When reading JSON files with varying structures, you might need to handle inconsistencies to avoid errors or incomplete data.
    import os import json folder_path = './json_files/' json_files = [f for f in os.listdir(folder_path) if f.endswith('.json')] all_data = [] for file_name in json_files: with open(os.path.join(folder_path, file_name), 'r') as file: content = json.load(file) # Handle different structures safely data_point = { 'common_key_1': content.get('common_key_1', None), 'common_key_2': content.get('common_key_2', None), } all_data.append(data_point) print("Read JSON files with different structures:", all_data) 

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