pca get data pandas

#Import Libraries
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
from sklearn.decomposition import PCA
import warnings
warnings.filterwarnings('ignore')


#Data Processing
df=pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/00514/Bias_correction_ucl.csv")
df=df.dropna()
df=df.drop(columns=['Date'])
df