![]() ![]() You may choose a different file name, but make sure that the file name specified in the code matches with the actual file name You’ll need to modify the Python code below to reflect the path where the CSV file is stored on your computer. Don’t forget to include the: Steps to Import a CSV File into Python using Pandas Step 1: Capture the File Pathįirstly, capture the full path where the CSV file is stored.įor example, let’s suppose that a CSV file is stored under the following path: So let’s begin with a simple example, where you have the following data stored in a CSV file (where the file name is ‘ products_sold‘): product ![]() Next, you’ll see an example with the steps needed to import your file. Here is a simple template that you may use to import a CSV file into Python using Pandas: import pandas as pdĭf = pd.read_csv(r'Path where the CSV file is stored\File name.csv')
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