Use Pandas to Calculate Stats from an Imported CSV file
Pandas is a powerful Python package that can be used to perform statistical analysis. In this guide, you’ll see how to use Pandas to calculate stats from imported csv files
Steps to Calculate Stats from an Imported CSV File
Step 1: Copy the Dataset into a CSV file
To begin, you’ll need to copy the above dataset into a CSV file. Then rename the CSV file as stats.
Step 2: Import the CSV File into Python
Next, you’ll need to import the CSV file into Python using this code:
import pandas as pd
df = pd.read_csv (r'Path where the CSV file is stored\File name.csv')
print (df)
Here is an example of a path where the CSV file is stored:
C:\Users\Ron\Desktop\bp.csv
So the complete code to import the stats CSV file is captured below (note that you’ll need to modify the path to reflect the location where the CSV file is stored on your computer):
import pandas as pd
df = pd.read_csv (r'C:\Users\Ron\Desktop\bp.csv') print (df)
Once you run the code in Python (adjusted to your path).
Step 3: Use Pandas to Calculate Stats from an Imported CSV File
For the final step, the goal is to calculate the following statistics using the Pandas package:
- Mean
- Total sum
- Maximum
- Minimum
- Count
- Median
- Standard
- Variance
