[minor] Helperfunction to support equidistant data without datestamps

[SimonWittner]

🔬 Background

• Processing equidistant-data without datestamps
• Closes Non-date data: Support equidistant data without datestamps #18

🔮 Key changes

• Helperfunction for dummy datestamps and Pytest

📋 Review Checklist

• I have performed a self-review of my own code.
• I have commented my code, added docstrings and data types to function definitions.
• I have added pytests to check whether my feature / fix works.

[codecov]

Codecov Report

Merging #1432 (8504096) into main (50d5e41) will increase coverage by 0.01%.
Report is 3 commits behind head on main.
The diff coverage is 100.00%.

❗ Current head 8504096 differs from pull request most recent head 8bca801. Consider uploading reports for the commit 8bca801 to get more accurate results

@@            Coverage Diff             @@
##             main    #1432      +/-   ##
==========================================
+ Coverage   89.85%   89.86%   +0.01%     
==========================================
  Files          38       38              
  Lines        5084     5093       +9     
==========================================
+ Hits         4568     4577       +9     
  Misses        516      516              

Files	Coverage Δ
neuralprophet/df_utils.py	94.73% <100.00%> (+0.07%)	⬆️

[ourownstory]

Excellent!
Please add a mini-example in the docstring.

[github-actions]

Model Benchmark

Benchmark	Metric	main	current	diff
YosemiteTemps	MAE_val	1.34899	1.34899	0.0%	✅
YosemiteTemps	RMSE_val	2.00817	2.00817	0.0%	✅
YosemiteTemps	Loss_val	0.00078	0.00078	0.0%	✅
YosemiteTemps	MAE	1.32133	1.32133	0.0%	✅
YosemiteTemps	RMSE	2.13713	2.13713	0.0%	✅
YosemiteTemps	Loss	0.00064	0.00064	0.0%	✅
YosemiteTemps	time	57.3789	59.09	2.98%	✅
PeytonManning	MAE_val	0.58162	0.58162	0.0%	✅
PeytonManning	RMSE_val	0.72218	0.72218	0.0%	✅
PeytonManning	Loss_val	0.01239	0.01239	0.0%	✅
PeytonManning	MAE	0.41671	0.41671	0.0%	✅
PeytonManning	RMSE	0.55961	0.55961	0.0%	✅
PeytonManning	Loss	0.00612	0.00612	0.0%	✅
PeytonManning	time	12.9164	12.76	-1.21%	✅
AirPassengers	MAE_val	13.0627	13.0627	0.0%	✅
AirPassengers	RMSE_val	15.9453	15.9453	0.0%	✅
AirPassengers	Loss_val	0.00131	0.00131	0.0%	✅
AirPassengers	MAE	9.88153	9.88153	0.0%	✅
AirPassengers	RMSE	11.7354	11.7354	0.0%	✅
AirPassengers	Loss	0.00052	0.00052	0.0%	✅
AirPassengers	time	5.31523	5.32	0.09%	✅

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[ourownstory]

Note: needs mention in some tutorial or docs