Exploratory Data Analysis of Time Series Stock Data

edastock.py

from pandas_datareader import data
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df = data.DataReader("RELIANCE.NS",
                     data_source = "yahoo",
                     start = "2010-01-28",
                     end = "2020-12-28")

df['Date'] = pd.to_datetime(df.index)
df['Year'] = df['Date'].dt.year
df['Month'] = df['Date'].dt.month

plt.style.use("fivethirtyeight")
variable = 'Close'
fig, ax = plt.subplots(figsize=(15, 6))
sns.lineplot(df['Month'], df[variable], hue = df['Year'])
ax.set_title('Seasonal plot of Price', loc='center')
ax.set_xlabel('Month')
ax.set_ylabel('Price')
ax.legend(labels = [str(2010+i) for i in range(11)], bbox_to_anchor=(1.1, 1.05))