HERE IS MY CODE BELOW IN GOOGLE COLAB, I get an error on this line (df_london = df[(df['London']) & (df['Fuel Type'] == 'Regular Unleaded Gasoline')]) and I'm not sure how to implement it properly. The file I'm working at is linked here https://data.ontario.ca/dataset/fuels-price-survey-information . Have to rename it to fueltypesall1991-2023.csv

Please don't reference df['Area'] as it is non-existent in the file.

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import io

from google.colab import files

uploaded = files.upload()

import pandas as pd

import matplotlib.pyplot as plt

# Read the data

df = pd.read_csv(io.BytesIO(uploaded['fueltypesall1991-2023.csv']))

# Select only Regular Unleaded Gasoline prices in London

df_london = df[(df['London']) & (df['Fuel Type'] == 'Regular Unleaded Gasoline')]

#Conversion of string to timepyEX

df_london['Date'] = pd.to_datetime(df_london['Date'])

#Set index of dataframe

df_london.set_index('Date', inplace=True)

# Smooth the time series using simple moving average with windowsize=5

rolling = df['Price'].rolling(window=5)

ma = rolling.mean()

# Plot the original and smoothed time series

plt.plot(df['Price'], label='Original')

plt.plot(ma, label='Simple Moving Average (window=5)')

plt.title('Regular Unleaded Gasoline Prices in London (2000-2022)')

plt.xlabel('Year')

plt.ylabel('Price (pence per litre)')

plt.legend()

plt.show()

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Please use the same data set as in Assignment 1 for the following plot. Visualize the time series: Regular Unleaded Gasoline price in "London" from 2000 to 2022 . Smooth the time series using simple moving average with windowsize =5. import pandas as pd \[ d f=\text { pd.read_csv('data/fueltypesall1991-2023.csv') } \] 1990-01-03 - N/A Data English and French