import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

from sklearn.decomposition import PCA

from sklearn.preprocessing import StandardScaler

# Load the data from the CSV file

file$\_$path $=$ 'homework$2/$food$-$consumption.csv$\text{'}$

data $=$ pd$.$read$\_$csv$($file$\_$path, index$\_$col$=0)$

# Standardize the data

X $=$ StandardScaler$().$fit$\_$transform$($data$)$

# Perform PCA

pca $=$ PCA$($n$\_$components$=2)$

principalComponents $=$ pca.fit$\_$transform$($X$)$

# Create a DataFrame with the principal components

principalDf $=$ pd$.$DataFrame$($data$=$principalComponents, columns$=[\text{'}$PC$1\text{'},\text{'}$PC$2\text{'}])$

# Concatenate the country names

finalDf $=$ pd$.$concat$([$data$.$index.to$\_$frame$($name$=$'Country'$),$ principalDf$],$ axis$=1)$

# Plot

plt$.$figure$($figsize$=(8,6))$

plt$.$scatter$($finalDf$[\text{'}$PC$1\text{'}],$ finalDf$[\text{'}$PC$2\text{'}])$

# Annotate each point with the country name

for i$,$ row in finalDf.iterrows$()$:

plt$.$annotate$($row$[\text{'}$Country$\text{'}],($row$[\text{'}$PC$1\text{'}],$ row$[\text{'}$PC$2\text{'}]),$ textcoords$=$"offset points", xytext$=(0,10),$ ha$=$'center'$)$

plt$.$xlabel$(\text{'}$Principal Component $1\text{'})$

plt$.$ylabel$(\text{'}$Principal Component $2\text{'})$

plt$.$title$(\text{'}2$ component PCA $-$ Countries'$)$

plt$.$show$()$

something is wrong with my code, my output labels all the points with nan