Pandas – What does axis=0 and axis=1 mean in Pandas

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In this post, we will learn how to use axis=0 and axis=1 in pandas. Almost all methods and functions in pandas has the axis parameter and knowing how to use it is very important for doing analysis. I will explain it with concrete examples so that you can understand it very well without any worries . So let’s get started.

Axis in Pandas –

first let’s read a dataset.

import pandas as pd

url = ""
df = pd.read_csv(url)
df2 = pd.crosstab(index= df['Month'], columns= df['VisitorType'])

Here, we have some data from an online shopping website. And Let’s say we want to add these numbers vertically and horizontally.

axis = 0 or axis = index –

When we say axis=0 or axis=index, it basically means that we want to do row-wise operation on each columns.

So, if we say


For the New visitor column, it will first add the 55 to 219 then 0, 42, 22 ……. 80. It will do the sum row-wise for the first column, second column and the third column.

axis = 1 or axis= columns –

And when we say axis= 1 or axis=columns, we basically means that we want to do column-wise operation on each rows in the dataframe.

So, when we say


For August, pandas will add ( 55 + 0 + 252= 307) and then for Dec it will add (219 + 42 + 955= 1216 ) and so on. So, Pandas will apply column-wise operation on each rows in the dataframe.

I hope this clarify how axis works in pandas. If you like this post then share it with others and subscribe to our blog for more articles related to pandas below.

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