Well, there are some error in data.corr() function.
Here is the correct code:
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# Loading the dataset
data = pd.read_csv('weather_data.csv')
# Extracting temperature, humidity, and pressure columns
temperature = data['temperature']
humidity = data['humidity']
pressure = data['pressure']
# Creating the correlation matrix
correlation_matrix = pd.DataFrame({'temperature': temperature, 'humidity': humidity, 'pressure': pressure}).corr()
# Creating the heatmap
sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm')
plt.title('Correlation Heatmap')
plt.show()
Thanks