Fixed Time Series Plotting for some cases

[ngupta23]

Related Issue or bug

Closes #3212

Type of change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested?

Testes locally and existing unit tests must pass on GH

import pandas as pd

data = pd.read_csv("Incident_data.csv")
data["date"] = pd.to_datetime(data["date"])
data.set_index("date", drop=True, inplace=True)
data = data.asfreq("d")

##Importing and Initializing time series module
from pycaret.time_series import *

forecast_tickets = setup(data, fold=5, fh=15, numeric_imputation_target="ffill")
plot_model(data_kwargs={"plot_data_type": ["original", "imputed"]})

Checklist:

• My code follows the style guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly in hard-to-understand areas.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added tests that prove my fix is effective or that my feature works.
• New and existing unit tests pass locally with my changes.
• Any dependent changes have been merged and published in downstream modules.