Seasonal Plot in Python using Pandas and Seaborn

seasonal_plot.py

import pandas as pd
import seaborn as sns

def seasonal_plot(df, season='year', index='month', column=None):
    """Makes a seasonal plot of one column of the input dataframe. Considers the first columns by default.
    
    Arguments:
    
    - df (Pandas DataFrame): DataFrame indexed by Datetime (see `parse_dates` parameter when reading a CSV);
    - season (string): the season that you want to considering when doing the plot, e.g., year, month, etc.;
    - index (string): corresponds to the X axis of the plot. You should choose based on the index period that you're using;
    - column (string, optional): the DataFrame column to consider. Picks the first one by default.
    """
    if column == None:
        column = df.columns[0]
        
    piv_index = getattr(df.index, index)
    piv_season = getattr(df.index, season)
    
    piv = pd.pivot_table(df, index=piv_index, columns=piv_season, values=[column])
    piv.plot(figsize=(12,8))