How to read multiple json files into pandas dataframe?

How to read multiple json files into pandas dataframe?

You can read multiple JSON files into a pandas DataFrame by using a loop or list comprehension to read each file separately and then concatenate them into a single DataFrame. Here's how you can do it:

import pandas as pd import glob # List the JSON files in your directory json_files = glob.glob("*.json") # Adjust the path pattern as needed # Initialize an empty list to store DataFrames dfs = [] # Loop through each JSON file and read it into a DataFrame for json_file in json_files: df = pd.read_json(json_file) dfs.append(df) # Concatenate all DataFrames into a single DataFrame merged_df = pd.concat(dfs, ignore_index=True) print(merged_df)

In this example:

  • glob.glob("*.json") lists all JSON files in the current directory. Adjust the path pattern as needed to match your file locations.
  • The loop reads each JSON file using pd.read_json() and appends the resulting DataFrame to the dfs list.
  • After reading all JSON files, pd.concat() concatenates the DataFrames in the dfs list into a single DataFrame, using ignore_index=True to reset the index of the concatenated DataFrame.

Alternatively, you can achieve the same result using a list comprehension:

import pandas as pd import glob json_files = glob.glob("*.json") # Adjust the path pattern as needed dfs = [pd.read_json(json_file) for json_file in json_files] merged_df = pd.concat(dfs, ignore_index=True) print(merged_df)

This approach is efficient and allows you to read and merge multiple JSON files into a single pandas DataFrame.

Examples

  1. How to load multiple JSON files into a pandas DataFrame in Python?

    Description: Below is the code to read multiple JSON files into a pandas DataFrame. This code assumes that all JSON files have the same structure.

    import pandas as pd import glob # Get a list of all JSON files in a directory json_files = glob.glob('*.json') # Initialize an empty list to store DataFrames dfs = [] # Read each JSON file into a DataFrame and append to the list for file in json_files: df = pd.read_json(file) dfs.append(df) # Concatenate all DataFrames into one combined_df = pd.concat(dfs, ignore_index=True)

  2. Python code to read and merge multiple JSON files into a single pandas DataFrame

    Description: The following code snippet demonstrates how to read multiple JSON files and merge them into a single pandas DataFrame.

    import pandas as pd import os # Specify directory containing JSON files directory = 'path_to_directory' # Initialize an empty DataFrame combined_df = pd.DataFrame() # Iterate over each JSON file in the directory for filename in os.listdir(directory): if filename.endswith(".json"): file_path = os.path.join(directory, filename) # Read JSON file into DataFrame and append to combined_df df = pd.read_json(file_path) combined_df = combined_df.append(df, ignore_index=True)

  3. How to read multiple JSON files and combine them into one DataFrame using pandas?

    Description: Below is the code to read multiple JSON files and combine them into one pandas DataFrame.

    import pandas as pd # List of JSON file paths json_files = ['file1.json', 'file2.json', 'file3.json'] # Initialize an empty DataFrame combined_df = pd.DataFrame() # Iterate over each JSON file and append to combined_df for file in json_files: df = pd.read_json(file) combined_df = pd.concat([combined_df, df], ignore_index=True)

  4. Python code to load and merge multiple JSON files into pandas DataFrame

    Description: The following code demonstrates how to load and merge multiple JSON files into a pandas DataFrame.

    import pandas as pd # List of JSON file paths json_files = ['file1.json', 'file2.json', 'file3.json'] # Initialize an empty list to store DataFrames dfs = [] # Read each JSON file into a DataFrame and append to the list for file in json_files: df = pd.read_json(file) dfs.append(df) # Concatenate all DataFrames into one combined_df = pd.concat(dfs, ignore_index=True)

  5. How to combine data from multiple JSON files into a single DataFrame using pandas?

    Description: This code snippet demonstrates how to combine data from multiple JSON files into a single DataFrame using pandas.

    import pandas as pd # List of JSON file paths json_files = ['file1.json', 'file2.json', 'file3.json'] # Initialize an empty DataFrame combined_df = pd.DataFrame() # Read each JSON file and append to combined_df for file in json_files: df = pd.read_json(file) combined_df = combined_df.append(df, ignore_index=True)

  6. Python code to load multiple JSON files into a pandas DataFrame

    Description: Below is the code to load multiple JSON files into a pandas DataFrame.

    import pandas as pd # List of JSON file paths json_files = ['file1.json', 'file2.json', 'file3.json'] # Initialize an empty list to store DataFrames dfs = [] # Read each JSON file into a DataFrame and append to the list for file in json_files: df = pd.read_json(file) dfs.append(df) # Concatenate all DataFrames into one combined_df = pd.concat(dfs, ignore_index=True)

  7. Python code to read multiple JSON files into a pandas DataFrame from a directory

    Description: The following code demonstrates how to read multiple JSON files from a directory into a pandas DataFrame.

    import pandas as pd import os # Specify the directory containing JSON files directory = 'path_to_directory' # Initialize an empty DataFrame combined_df = pd.DataFrame() # Iterate over each file in the directory for filename in os.listdir(directory): if filename.endswith('.json'): file_path = os.path.join(directory, filename) # Read JSON file into DataFrame and append to combined_df df = pd.read_json(file_path) combined_df = pd.concat([combined_df, df], ignore_index=True)

  8. Python code to load multiple JSON files into a pandas DataFrame and merge them

    Description: Below is the code to load multiple JSON files into a pandas DataFrame and merge them into one DataFrame.

    import pandas as pd # List of JSON file paths json_files = ['file1.json', 'file2.json', 'file3.json'] # Initialize an empty DataFrame combined_df = pd.DataFrame() # Read each JSON file into a DataFrame and append to combined_df for file in json_files: df = pd.read_json(file) combined_df = pd.concat([combined_df, df], ignore_index=True)

  9. How to load multiple JSON files from a directory into a pandas DataFrame?

    Description: This code snippet demonstrates how to load multiple JSON files from a directory into a pandas DataFrame.

    import pandas as pd import os # Specify the directory containing JSON files directory = 'path_to_directory' # Initialize an empty DataFrame combined_df = pd.DataFrame() # Iterate over each file in the directory for filename in os.listdir(directory): if filename.endswith('.json'): file_path = os.path.join(directory, filename) # Read JSON file into DataFrame and append to combined_df df = pd.read_json(file_path) combined_df = pd.concat([combined_df, df], ignore_index=True)

  10. Python code to read multiple JSON files from a directory and combine them into a single DataFrame

    Description: Below is the code to read multiple JSON files from a directory and combine them into a single pandas DataFrame.

    import pandas as pd import os # Specify the directory containing JSON files directory = 'path_to_directory' # Initialize an empty DataFrame combined_df = pd.DataFrame() # Iterate over each file in the directory for filename in os.listdir(directory): if filename.endswith('.json'): file_path = os.path.join(directory, filename) # Read JSON file into DataFrame and append to combined_df df = pd.read_json(file_path) combined_df = pd.concat([combined_df, df], ignore_index=True)

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