How can I visualize data using Seaborn and Pandas?

How can I visualize data using Seaborn and Pandas?

You can create beautiful visualizations using Seaborn, which works well with Pandas DataFrames. What type of data are you working with?

I have a DataFrame with sales data, and I want to create a bar plot.

You can use sns.barplot() for that. First, make sure to import Seaborn and then use the following code:

import seaborn as sns
import pandas as pd

# Sample DataFrame
data = {'Product': ['A', 'B', 'C'], 'Sales': [100, 150, 200]}
df = pd.DataFrame(data)

# Create a bar plot
sns.barplot(x='Product', y='Sales', data=df)

What if I want to customize the colors of the bars?

You can customize the colors by using the palette parameter in sns.barplot(). For example:

sns.barplot(x='Product', y='Sales', data=df, palette='Blues')

Can I add labels to the bars?

Yes! You can use plt.text() to add labels. Here's how:

import matplotlib.pyplot as plt

# Create the bar plot
ax = sns.barplot(x='Product', y='Sales', data=df)

# Add labels
for p in ax.patches:
    ax.annotate(f'{p.get_height()}', (p.get_x() + p.get_width() / 2., p.get_height()),
                ha='center', va='bottom')