Hey there! Let's work through this problem together—this is a super common snag when getting started with pandas, so we'll have you up and running in no time.

First, Fix the Import Syntax & Clean Up Your Code #

Python is case-sensitive, and the official package name is lowercase pandas, not Pandas. You also have duplicate import lines in your code, plus using dict as a variable name isn't ideal (it's a built-in Python type that you shouldn't overwrite). Here's your cleaned-up, corrected code:

# Define your dataset with a safe variable name
country_data = {
    "country": ["Brazil", "Russia", "India", "China", "South Africa"],
    "capital": ["Brasilia", "Moscow", "New Dehli", "Beijing", "Pretoria"],
    "area": [8.516, 17.10, 3.286, 9.597, 1.221],
    "population": [200.4, 143.5, 1252, 1357, 52.98]
}

# Import pandas correctly (lowercase 'p')
import pandas as pd

# Create and print the DataFrame
df = pd.DataFrame(country_data)
print(df)

Next, Ensure Pandas is Installed in Your Environment #

If fixing the import case doesn't resolve the error, it means pandas isn't installed in the Python environment VS Code is using. Here's how to install it:

• Open your VS Code terminal, then run one of these commands (match it to your Python setup):
  • For most standard setups: pip install pandas
  • If you have multiple Python versions installed (e.g., Python 2 and 3): pip3 install pandas
  • If you're using a virtual environment, activate that environment first before running the install command.

Verify Your VS Code Python Interpreter #

Sometimes VS Code uses a different Python interpreter than the one you installed pandas in. To fix this:

• Look at the bottom-left corner of your VS Code window—you'll see the current active Python interpreter version or environment.
• Click on that label, then select the interpreter where you installed pandas (this might be a virtual environment or your system's main Python installation).

Once you've completed these steps, run your code again—it should execute without errors and print your DataFrame as expected!

内容的提问来源于stack exchange，提问作者Abubakar Atiq