You can use the following template in order to import a CSV file into Julia:
using CSV using DataFrames CSV.read("The path where your CSV file is stored\\File Name.csv", DataFrame)
Next, you’ll see the full steps to import a CSV file into Julia using a simple example.
Steps to Import a CSV File into Julia
Step 1: Install the relevant packages
You can install the CSV package using the following syntax:
using Pkg Pkg.add("CSV")
You can then install the DataFrames package using:
using Pkg Pkg.add("DataFrames")
Step 2: Import the CSV file into Julia
Let’s suppose that you have the following data stored in a CSV file called products:
product_id | product_name | price |
1 | Oven | 800 |
2 | Microwave | 350 |
3 | Toaster | 80 |
4 | Refrigerator | 1100 |
5 | Dishwasher | 900 |
In order to import that CSV file into Julia, you may use the following template:
using CSV using DataFrames CSV.read("The path where your CSV file is stored\\File Name.csv", DataFrame)
Here are few points to consider when importing your CSV file:
- Use double backslash within the path name to avoid any errors when importing your file
- At the end of the path, specify your file name + .csv. In our example, the file name is products, while the file type is .csv
For example, let’s suppose that the products file is stored under the following path:
C:\\Users\\Ron\\Desktop\\products.csv
Therefore, the code to import the CSV file for our example is as follows:
using CSV using DataFrames df = CSV.read("C:\\Users\\Ron\\Desktop\\products.csv", DataFrame) print(df)
Once you run the code (adjusted to your path name), you’ll get the following result:
product_id | product_name | price |
1 | Oven | 800 |
2 | Microwave | 350 |
3 | Toaster | 80 |
4 | Refrigerator | 1100 |
5 | Dishwasher | 900 |