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Pandas can be used to group and count categories in the following steps:

1. Load your data into a pandas DataFrame
2. Use the groupby() function to group the data based on one or more columns
3. Use the size() function to count the number of instances in each group
4. Reset the index to make the results easier to work with

Here's an example:

import pandas as pd

# Load data into a DataFrame
df = pd.read_csv('data.csv')

# Group data by a specific column (in this example, 'Category')
grouped = df.groupby('Category')

# Count the number of instances in each group
counts = grouped.size()

# Reset the index to make the results easier to work with
counts = counts.reset_index()

# Print the results
print(counts)

This will output a DataFrame with the category names and the number of instances in each category.