# FAQ: Summary Statistics for Categorical Variables - Ordinal Categorical Variables - Central Tendency I

This community-built FAQ covers the “Ordinal Categorical Variables - Central Tendency I” exercise from the lesson “Summary Statistics for Categorical Variables”.

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This exercise can be found in the following Codecademy content:

## FAQs on the exercise Ordinal Categorical Variables - Central Tendency I

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in this block of code (for full exercise see link below):

``````# Convert to categorical type
nyc_trees['health'] = pd.Categorical(
nyc_trees['health'], health_categories, ordered=True
)

# Calculate median values
median_index = np.median(nyc_trees['health'].cat.codes)
median_health_status = health_categories[int(median_index)]
print(median_health_status)
``````

In the line where I calculate the median_index, I do not understand how when i call cat .codes, it knows the order of the categories and assigns the right integer to them. Could someone explain that to me?