I want to plot columns `High` and `Low` into the same line graph using seaborn.

They are from the same csv file. I managed to graph `High` on the y-axis but I am struggling to get the `Low` in.

For reference, the files are from Kaggle.

```
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

sns.set_theme(style="darkgrid")

# Read Data from CSV:
micro = pd.read_csv('Microsoft Corporationstock.csv', parse_dates=['Date'])
covid = pd.read_csv('day_wise.csv', parse_dates=['Date'])

# Filter Data Needed:
start_date = covid['Date'].loc[0]
index_date = int(micro[micro['Date'] == start_date].index.values)

# Microsoft Stock Plot:
mg = sns.relplot(x='Date', y='High', kind='line', data=micro.loc[index_date:])
mg.set_xticklabels(rotation=30)
plt.ylabel('Market Value')
mg.fig.autofmt_xdate()

plt.show()

```

[High Stock Graph](https://i.stack.imgur.com/8zmjR.png)