How to plot a time series graph using Seaborn or Plotly?

To plot a time series graph using Seaborn or Plotly, we can take the following steps −

Set the figure size and adjust the padding between and around the subplots.
Create a Pandas dataframe, df, to hold a date_time series "time" and another variable data, speed.
Make a Seaborn line plot with the data, "time" and "speed"
Rotate the tick params by 45.
To display the figure, use show() method.

Example

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

plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

df = pd.DataFrame(
   dict(
      time=list(pd.date_range("2021-01-01 12:00:00", periods=10, freq="30min")),
      speed=np.linspace(1, 10, 10)
   )
)

ax = sns.lineplot(x="time", y="speed", data=df)

ax.tick_params(rotation=45)

plt.show()