How can I visualize NaN values in a Pandas DataFrame?

How can I visualize NaN values in a Pandas DataFrame?

You can use libraries like Matplotlib or Seaborn to visualize NaN values. Would you like a code example?

Yes, please provide a code example using Matplotlib.

Sure! You can use the following code:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Sample DataFrame
data = {'A': [1, 2, np.nan, 4], 'B': [np.nan, 2, 3, 4]}
df = pd.DataFrame(data)

# Visualizing NaN values
plt.imshow(df.isna(), cmap='viridis', aspect='auto')
plt.colorbar(label='NaN values')
plt.xticks(ticks=range(len(df.columns)), labels=df.columns)
plt.yticks(ticks=range(len(df)), labels=df.index)
plt.title('NaN Values in DataFrame')
plt.show()

What does the code do to visualize the NaN values?

The code creates a heatmap where NaN values are highlighted. The imshow function displays the DataFrame's NaN locations in a color-coded format.