How to generate kernel density estimate plot using pandas on a column?
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# How to generate kernel density estimate plot using pandas on a column?

This recipe helps you generate kernel density estimate plot using pandas on a column

## Recipe Objective

Suppose we have a dataset a are interested in plotting kde plot.

So this recipe is a short example on How to generate kernel density estimate plot using pandas on a column. 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') ```

Here we have imported tips dataset from seaborn library.

## Step 3 - Plotting kde plot

``` sb.kdeplot(df["total_bill"].astype(float)) ```

Here we first converted our total_bill to float type data. Then using seaborn library itself, plotted our kde plot.

## 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 kde plot being plotted for total_bill.

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