You can export your DataFrame to CSV in Julia using this template:
using CSV CSV.write("Path where your CSV file will be stored\\File Name.csv", df)
Next, you’ll see the complete steps to apply the above template in practice.
Steps to Export DataFrame to CSV in Julia
Step 1: Install the Relevant Packages
If you haven’t already done so, install the DataFrames and CSV packages in Julia.
You can install the DataFrames package using:
using Pkg Pkg.add("DataFrames")
And you can install the CSV package using:
using Pkg Pkg.add("CSV")
Step 2: Prepare your dataset
Next, prepare the dataset for your DataFrame.
For illustration purposes, let’s use the following dataset:
product_id | product_name | price |
1 | Oven | 700 |
2 | Refrigerator | 1200 |
3 | Microwave | 200 |
4 | Toaster | 120 |
5 | Dishwasher | 600 |
The goal is to create a DataFrame based on the above data, and then export that DataFrame to CSV.
Step 3: Create a DataFrame
You can now create your DataFrame.
You may use the following code to create the DataFrame for our example:
using DataFrames df = DataFrame(product_id = [1, 2, 3, 4, 5], product_name = ["Oven", "Refrigerator", "Microwave", "Toaster", "Dishwasher"], price = [700, 1200, 200, 120, 600] ) print(df)
Step 4: Export the DataFrame to CSV in Julia
For the final step, you may use the template below in order to export your DataFrame to CSV in Julia:
using CSV CSV.write("Path where your CSV file will be stored\\File Name.csv", df)
For example, let’s suppose that the path where the CSV file will be stored is:
C:\\Users\\Ron\\Desktop\\Test\\export_df.csv
Where ‘export_df‘ is the new file to be created, and ‘.csv‘ is the file extension.
Make sure to use double backslash (‘\\’) in your path name to avoid any errors.
Here is the complete code to export the DataFrame to CSV for our example (you’ll need to modify the path name to reflect the location where the CSV file will be created on your computer):
using CSV using DataFrames df = DataFrame(product_id = [1, 2, 3, 4, 5], product_name = ["Oven", "Refrigerator", "Microwave", "Toaster", "Dishwasher"], price = [700, 1200, 200, 120, 600] ) CSV.write("C:\\Users\\Ron\\Desktop\\Test\\export_df.csv", df)
Run the code (adjusted to your path), and the new CSV file will be created at your specified location.
Once you open the CSV file, you’ll see the exported dataset:
product_id | product_name | price |
1 | Oven | 700 |
2 | Refrigerator | 1200 |
3 | Microwave | 200 |
4 | Toaster | 120 |
5 | Dishwasher | 600 |