The method used in seaborn for plotting density estimate is `kdeplot`.

Here is a simple step by step guide on how to use it:

1. First, you need to import seaborn and matplotlib libraries. You can do this using the following code:

```python
import seaborn as sns
import matplotlib.pyplot as plt
```

2. Next, you need to have a dataset to work with. For this example, let's use the built-in tips dataset from seaborn. You can load it using the following code:

```python
tips = sns.load_dataset('tips')
```

3. Now, you can use the `kdeplot` method to plot a density estimate. For example, if you want to plot the density estimate for the 'total_bill' column, you can use the following code:

```python
sns.kdeplot(tips['total_bill'])
plt.show()
```

This will create a plot showing the density estimate for the 'total_bill' column.

Question

The method used in seaborn for plotting density estimate is `kdeplot`.

Here is a simple step by step guide on how to use it:

1. First, you need to import seaborn and matplotlib libraries. You can do this using the following code:

```python
import seaborn as sns
import matplotlib.pyplot as plt
```

2. Next, you need to have a dataset to work with. For this example, let's use the built-in tips dataset from seaborn. You can load it using the following code:

```python
tips = sns.load_dataset('tips')
```

3. Now, you can use the `kdeplot` method to plot a density estimate. For example, if you want to plot the density estimate for the 'total_bill' column, you can use the following code:

```python
sns.kdeplot(tips['total_bill'])
plt.show()
```

This will create a plot showing the density estimate for the 'total_bill' column.

Knowee AI · Accepted Answer

The method used in seaborn for plotting density estimate is `kdeplot`.

Here is a simple step by step guide on how to use it:

1. First, you need to import seaborn and matplotlib libraries. You can do this using the following code:

```python
import seaborn as sns
import matplotlib.pyplot as plt
```

2. Next, you need to have a dataset to work with. For this example, let's use the built-in tips dataset from seaborn. You can load it using the following code:

```python
tips = sns.load_dataset('tips')
```

3. Now, you can use the `kdeplot` method to plot a density estimate. For example, if you want to plot the density estimate for the 'total_bill' column, you can use the following code:

```python
sns.kdeplot(tips['total_bill'])
plt.show()
```

This will create a plot showing the density estimate for the 'total_bill' column.

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