This Code Snippet Plots the Trend and the Seasonality of the Time Series data

trend_seasonality.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(nrows=1, ncols=2, figsize=(15, 6))

sns.boxplot(df['Year'], df[variable], ax=ax[0])
ax[0].set_title('Year-wise Box Plot\n(The Trend)', 
                fontsize = 20, 
                loc='center', 
                fontdict=dict(weight='bold'))
ax[0].set_xlabel('Year')
ax[0].set_ylabel('Price')

sns.boxplot(df['Month'], df[variable], ax=ax[1])
ax[1].set_title('Month-wise Box Plot\n(The Seasonality)', 
                fontsize = 20, 
                loc='center', 
                fontdict=dict(weight='bold'))
ax[1].set_xlabel('Month')
ax[1].set_ylabel('Price')

fig.autofmt_xdate()