To create multiple series scatter plots with connected points using seaborn, we can take the following steps −
Steps
Set the figure size and adjust the padding between and around the subplots.
Create a Pandas data frame of two-dimensional, size-mutable, potentially heterogeneous tabular data.
Multi-plot grid for plotting conditional relationships.
Apply a plotting function to each facet's subset of the data.
Plot the scatter and the data points with x and y data points.
To display the figure, use show() method.
Example
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
df = pd.DataFrame({"x": [4, 6, 7, 1, 8], "y": [1, 5, 7, 8, 1]})
g = sns.FacetGrid(df, hue="x", height=3.5)
g.map(plt.scatter, "x", "y")
g.map(plt.plot, "x", "y")
plt.show()Output
It will produce the following output −
