### Table Of Contents

- What’s New
- Installation
- Contributing to pandas
- Frequently Asked Questions (FAQ)
- Package overview
- 10 Minutes to pandas
- Tutorials
- Cookbook
- Intro to Data Structures
- Essential Basic Functionality
- Working with Text Data
- Options and Settings
- Indexing and Selecting Data
- MultiIndex / Advanced Indexing
- Computational tools
- Working with missing data
- Group By: split-apply-combine
- Merge, join, and concatenate
- Reshaping and Pivot Tables
- Time Series / Date functionality
- Time Deltas
- Categorical Data
- Visualization
- Style
- IO Tools (Text, CSV, HDF5, ...)
- Remote Data Access
- Enhancing Performance
- Sparse data structures
- Caveats and Gotchas
- rpy2 / R interface
- pandas Ecosystem
- Comparison with R / R libraries
- Comparison with SQL
- Comparison with SAS
- API Reference
  - Input/Output
  - General functions
  - Series
  - DataFrame
  - Panel
  - Panel4D
    - Constructor
      - pandas.Panel4D
    - Attributes and underlying data
    - Conversion
  - Index
  - CategoricalIndex
  - DatetimeIndex
  - TimedeltaIndex
  - GroupBy
  - Style
  - General utility functions
- Internals
- Release Notes

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# pandas.Panel4D.at_time

`Panel4D.``at_time`(time, asof=False)

  Select values at particular time of day (e.g. 9:30AM)

  Parameters: | time : datetime.time or string
  Returns: | values_at_time : type of caller