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Calculating percentiles of a DataFrame in Pandas

Pandas
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Data Aggregation Cookbook
schedule Jul 1, 2022
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To calculate percentiles in Pandas, use the quantile(~) method.

Examples

Consider the following DataFrame:

df = pd.DataFrame({"A":[2,4,6,8],"B":[5,6,7,8]})
df
A B
0 2 5
1 4 6
2 6 7
3 8 8

Column-wise

To compute the 25th percentile of each column:

df.quantile(0.25)
A 3.50
B 5.75
Name: 0.25, dtype: float64

By default the quantile(~) method computes percentiles column-wise.

Row-wise

To compute the 50th percentile of each row:

df.quantile(q=0.5, axis=1)
0 3.5
1 5.0
2 6.5
3 8.0
Name: 0.5, dtype: float64

By specifying axis=1 we compute the 50th percentile by row.

Multiple percentiles

To get the values at the 50th and 75th percentiles for each column:

df.quantile([0.5, 0.75])   # returns a DataFrame
A B
0.50 5.0 6.50
0.75 6.5 7.25
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Published by Arthur Yanagisawa
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