How to add seaborn axes to matplotlib figure with subplots?

Question

I have a function to return a seaborn plot. I want to add multiple seaborn plots to a figure by looping. I found an answer here for matplotlib but not sure how to apply it to seaborn.

import pandas as pd
import numpy as np
import seaborn as sns
from matplotlib import pyplot as plt

def plotf(df_x):
    g = sns.lineplot(data=df_x[['2016','2017','2018']])
    g.set_xticks(range(0,12))
    g.set_xticklabels(['Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec','Jan'])
    return g

df = pd.DataFrame({'Period': list(range(1,13)),
                           '2016': np.random.randint(low=1, high=100, size=12),
                           '2017': np.random.randint(low=1, high=100, size=12),
                           '2018': np.random.randint(low=1, high=100, size=12)}) 

fig, ax = plt.subplots(nrows=3)

I would like to see 3 plots in ax[0], ax[1], ax[2]

Answer 1

You simply assign the axis on which you want to plot as input to the function and explicitly specify on which axis you want to plot in sns.lineplot

import pandas as pd
import numpy as np
import seaborn as sns
from matplotlib import pyplot as plt

def plotf(df_x,ax):
    g = sns.lineplot(data=df_x[['2016','2017','2018']],ax=ax)
    g.set_xticks(range(0,12))
    g.set_xticklabels(['Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec','Jan'])
    return g

df = pd.DataFrame({'Period': list(range(1,13)),
                           '2016': np.random.randint(low=1, high=100, size=12),
                           '2017': np.random.randint(low=1, high=100, size=12),
                           '2018': np.random.randint(low=1, high=100, size=12)}) 

fig, ax = plt.subplots(nrows=3)
plotf(df,ax[0])
plotf(df,ax[1])
plotf(df,ax[2])