Write a python script that reads a csv file with a single column of values, splits it into chunks 10,000-value chunks, and outputs each chunk as a json list saved to separate json files named after the original csv file. If the original csv file was named original\_data\_2022.csv, the newly created json files for the chunks should be named like original\_data\_2022\_chunk\_1.json, original\_data\_2022\_chunk\_2.json, etc...
user
Sure, here's a Python script that does this:

```python
import csv
import json

# Set the name and path of your input CSV file
input_file = 'path/to/your/csv/file.csv'

# Set the size of each chunk in rows
chunk_size = 10000

# Initialize variables:
# -data stores all the rows in the CSV file
# -current_chunk number of unique IDs (in case the CSV has unique IDs)
# -current_row is the current row being processed
data = []
current_chunk_id = ''
current_row = 0

# Loop through each row in the CSV file
with open(input_file, 'r', newline='') as csvfile:
    reader = csv.DictReader(csvfile)

    for row in reader:
        # If this is the first row, get the unique first row
        if current_row == 0:
            current_chunk_id = row['unique_id'] if 'unique_id' in row else ''

        data.append(row)
        current_row += 1

        # When the data is large enough, save it as a JSON file
        if len(data) == chunk_size or current_row == 1:
            with open('{}_chunk_{}.json'.format(reader.fieldnames[0], current_chunk_id), 'w') as outfile:
                json.dump(data, outfile, indent=4)

            # Reset the variables
            data = [row]
            current_chunk_id = row['unique_id'] if 'unique_id' in row else ''

# If there's any remaining data, save it as the last chunk
if data:
    with open('{}_chunk_{}.json'.format(reader.fieldnames[0], current_chunk_id), 'w') as outfile:
        json.dump(data, outfile, indent=4)
```

This code assumes that your CSV file has a column named 'unique_id'. If it doesn't, replace `row['unique_id'] if 'unique_id' in row else ''` with `row['column_name']` if you have a column with a unique identifier. Additionally, you'll need to replace `fieldnames[0]` with the name of your unique identifier.

Also, note that this code writes the CSV data as a list of dictionaries using the keys from your CSV file. If you have a more complex CSV file, you may need to make some adjustments to this script.
assistant
Write a python script that reads a csv file with a single column of values, splits it into chunks 10,000-value chunks, and outputs each chunk as a json list saved to separate json files named after the original csv file. If the original csv file was named original\_data\_2022.csv, the newly created json files for the chunks should be named like original\_data\_2022\_chunk\_1.json, original\_data\_2022\_chunk\_2.json, etc...
user
Sure, I can help you write a Python script for that. Here's a simple script that should do what you're asking for:

```python
import csv
import json
import os

def split_csv_to_json(file_name, chunk_size=10000):
    # Check if the file exists
    if not os.path.isfile(file_name):
        print(f"The file '{file_name}' does not exist.")
        return

    # Extract the base name of the file without extension
    base_name = os.path.splitext(file_name)[0]

    # Initialize a counter forchunks
    chunk_counter = 1

    # Initialize an empty list for the chunk
    chunk = []

    # Open the csv file
    with open(file_name, 'r') as csv_file:
        reader = csv.reader(csv_file)

        # Skip the header if needed
        next(reader)

        # Iterate over the values in the csv file
        for row in reader:
            # Append the value to the chunk
            chunk.append(row)

            # If the chunk size is reached
            if len(chunk) == chunk_size:
                # Write the chunk to a json file
                with open(f'{base_name}_chunk_{chunk_counter}.json', 'w') as json_file:
                    json.dump(chunk, json_file)

                # Reset the chunk list
                chunk = []

                # Increment the chunk counter
                chunk_counter += 1

        # If there are any remaining values that don't form a full chunk
        if chunk:
            # Write the remaining values to a json file
            with open(f'{base_name}_chunk_{chunk_counter}.json', 'w') as json_file:
                json.dump(chunk, json_file)

# Call the function with the file name and chunk size
split_csv_to_json('original_data_2022.csv', 10000)
```

This script reads a CSV file, splits it into chunks of a specified size, and writes each chunk to a separate JSON file. The JSON files are named after the original CSV file, with an additional suffix indicating the chunk number. The script also handles any remaining values that don't form a full chunk. Please ensure to replace 'original_data_2022.csv' with your actual file path if it's located in a different directory.
assistant