I have a large timeseries dataset that includes stock market data. The dataset includes 5 seconds candle data (much larger than daily bars)
I’ve built a Mathplotlib visualization for my data. While my visualization works, working with Mathplotlib charts is tedious. I like to have something like Plotly.py’s Range Sliders shown here below but with larger dataset:
Before I spend time and migrate my visualization from mathplotlib to Plotly Python, I wanted to ask what is dataset size limitations for Plotly Python. Is there any guideline how workaround data size limitations and how to handle large datasets.