DateTime Handling

Pandas has excellent support for dates and times through the datetime64 type.

Parsing Date Strings

Convert strings to datetime:

Different Date Formats

Handle various date formats:

Extracting Date Components

Use .dt accessor for date parts:

Date Arithmetic

Perform calculations with dates:

Filtering by Date

Filter data using date conditions:

Setting DateTime Index

Use dates as the index for time series:

Exercise: Parse Dates

Exercise: Extract Month

Key Points

• pd.to_datetime() converts strings to datetime
• Use format= for non-standard date formats
• .dt accessor for date components (year, month, day)
• Subtract dates to get timedelta
• pd.Timedelta() for adding/subtracting time
• Date indices enable easy time-based slicing