What is unstacking and squeeze in pandas dataframe?
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What is unstacking and squeeze in pandas dataframe?

What is unstacking and squeeze in pandas dataframe?

This recipe explains what is unstacking and squeeze in pandas dataframe

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Recipe Objective

Suppose we have a stacked data i.e. column is stacked row wise. Now we wish to unstack it. It can easily be done by unstack() function.

So this recipe is a short example on What is unstacking and squeeze in pandas dataframe. Let's get started.

Step 1 - Import the library

import pandas as pd import seaborn as sb

Let's pause and look at these imports. Pandas is generally used for performing mathematical operation and preferably over arrays. Seaborn is just used in here to import dataset.

Step 2 - Setup the Data

df = sb.load_dataset('tips') stacked_df=df.stack() print(stacked_df)

Here we have imported tips dataset from seaborn library. Now, to produce a stacked dataframe, we are using stack function to modify the current.

Now our dataset is ready.

Step 3 - Unstacking dataframe.

unstacked_df=stacked_df.unstack() print(unstacked_df)

Here we unstacked our datafram using unstack() function.

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 data returning to original format. Similarity for multiindex format, we will have same results.

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