Python Pandas - Plot a Grouped Horizontal Bar Chart will all the columns

A grouped horizontal bar chart displays multiple data series side by side horizontally. In Pandas, you can create this using the barh() method without specifying x and y parameters, which automatically uses all numeric columns.

Setting Up the Data

First, import the required libraries and create a DataFrame with multiple numeric columns ?

import pandas as pd
import matplotlib.pyplot as plt

# Create DataFrame with car specifications
dataFrame = pd.DataFrame({
    "Car": ['Bentley', 'Lexus', 'BMW', 'Mustang', 'Mercedes', 'Jaguar'],
    "Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],
    "Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]
})

print(dataFrame)

       Car  Cubic_Capacity  Reg_Price
0   Bentley            2000       7000
1     Lexus            1800       1500
2       BMW            1500       5000
3   Mustang            2500       8000
4  Mercedes            2200       9000
5    Jaguar            3000       6000

Creating the Grouped Horizontal Bar Chart

Set the "Car" column as the index and use barh() to create the chart. When no x and y parameters are specified, all numeric columns are plotted ?

import pandas as pd
import matplotlib.pyplot as plt

# Create DataFrame
dataFrame = pd.DataFrame({
    "Car": ['Bentley', 'Lexus', 'BMW', 'Mustang', 'Mercedes', 'Jaguar'],
    "Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],
    "Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]
})

# Set Car as index for proper labeling
dataFrame.set_index('Car', inplace=True)

# Create grouped horizontal bar chart
dataFrame.plot.barh(title='Car Specifications', color=("blue", "orange"))

plt.xlabel('Values')
plt.ylabel('Car Models')
plt.legend(title='Metrics')
plt.tight_layout()
plt.show()

Customizing the Chart

You can customize colors, add labels, and improve the layout for better visualization ?

import pandas as pd
import matplotlib.pyplot as plt

# Create and prepare data
dataFrame = pd.DataFrame({
    "Car": ['Bentley', 'Lexus', 'BMW', 'Mustang', 'Mercedes', 'Jaguar'],
    "Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],
    "Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]
})

dataFrame.set_index('Car', inplace=True)

# Create customized horizontal bar chart
ax = dataFrame.plot.barh(
    title='Car Specifications Comparison',
    color=['skyblue', 'lightcoral'],
    figsize=(10, 6)
)

# Add customizations
ax.set_xlabel('Values')
ax.set_ylabel('Car Models')
ax.legend(title='Specifications', loc='lower right')
ax.grid(axis='x', alpha=0.3)

plt.tight_layout()
plt.show()

Key Points

Conclusion

Use DataFrame.plot.barh() without specifying x and y parameters to automatically plot all numeric columns as a grouped horizontal bar chart. Set a categorical column as the index for proper row labeling.