import pandas as pd

from sklearn.preprocessing import StandardScaler

from sklearn.decomposition import PCA

# Read in forestfires.csv

fires $=$ pd$.$read$\_$csv$("$forestfires$.$csv$")$

# Create a new data frame with the columns

X $=$ fires$[[\text{'}$FFMC$\text{'},\text{'}$DMC$\text{'},\text{'}$DC$\text{'},$ 'ISI', 'temp', $\text{'}$RH$\text{'},$ 'wind', 'rain'$]]$

# Calculate the correlation matrix for the data in the data f