pandas
Python library for data manipulation and analysis
Learn how to convert datetime strings like 'Jun 1 2005 1:33PM' to Python datetime objects using strptime, pandas.to_datetime, and dateutil.parser. Handle lists, edge cases, AM/PM, and locales efficiently.
Learn multiple methods to check if a column exists in Pandas DataFrame and conditionally add columns based on column verification.
Create one dropdown per pandas MultiIndex level to filter Plotly scatter3d traces. Step-by-step code for updatemenus, JS visibility masks, transforms, and standalone HTML export without Dash.
Resolve ModuleNotFoundError: No module named 'pandas' on Linux Mint despite pip installation. Fix Python interpreter mismatch, virtual envs, pip issues, and Linux-specific quirks with step-by-step commands.
Find modern mplfinance alternatives - Plotly, Bokeh, Lightweight-Charts - for interactive OHLC/candlestick charts with volume, pandas support and live updates.
Ensure unique customer_id in Pandas: Debug drop_duplicates, normalize types, use set_index(verify_integrity=True), and detect duplicates.