Time Series Analysis: Historical Price of Gold

import pandas as pd import seaborn as sns import matplotlib.pyplot as plt %matplotlib inline #Resetting style plt.rcParams.update(plt.rcParamsDefault)

ts = pd.read_csv('Desktop/Gold_Yearly.csv')

ts.head()

#Renaming specific columns ts = ts.rename(columns={'Average\nClosing Price': 'Avg Closing Price', 'Annual\n% Change':'Annual Percentage Change'})

ts.columns

ts = ts.set_index('Year')

ts.index

fig, ax = plt.subplots(figsize=(20,12)) #Setting Style plt.style.use('fivethirtyeight') ax.plot(ts.index, ts['Avg Closing Price']) #Modifying Labels ax.tick_params(axis='both', labelsize=18) ax.set_title('Historical Price of Gold') ax.set_xlabel('Year', size = 20) ax.set_ylabel('Price (USD)', size = 20) #Plotting plt.show()

fig, ax = plt.subplots(figsize=(20,12)) ax.plot(ts.index, ts['Annual Percentage Change']) #Modifying Labels ax.set_title('Historical Yearly Percentage Change of the Price of Gold') ax.set_xlabel('Year', size = 20) ax.set_ylabel('Percentage Change', size = 20) #Plotting plt.show()