How to compute quantiles using Pandas?
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How to compute quantiles using Pandas?

How to compute quantiles using Pandas?

This recipe helps you compute quantiles using Pandas

0

Recipe Objective

quantile() function return values at the given quantile over requested axis, a numpy percentile.

So this recipe is a short example on How to compute quantiles in pandas. Let's get started.

Step 1 - Import the library

import pandas as pd

Let's pause and look at these imports. Pandas is generally used for performing mathematical operation and preferably over arrays.

Step 2 - Setup the Data

df = pd.DataFrame({"A":[0, 1, 2, 3, 5, 9], "B":[11, 5, 8, 6, 7, 8], "C":[2, 5, 10, 11, 9, 8]})

Here we have setup a random dataset with some random values in it.

Step 3 - Finding Quantiles

print(df.quantile(.5,axis=0)) print(df.quantile(.25,axis=0))

Here we are applied quantile() to find out the quantiles. 0.5 signify median and 0.25, first quater quantile. Similarily we can find any values quantiles.

Step 4 - Let's look at our dataset now

Once we run the above code snippet, we will see:

Scroll down to the ipython file to look at the results.

We can see the how quantiles being calculated for each series at our specified value.

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