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Table Of Contents
What's New
Installation
Contributing to pandas
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
Nullable Integer Data Type
Visualization
Styling
IO Tools (Text, CSV, HDF5, …)
Enhancing Performance
Sparse data structures
Frequently Asked Questions (FAQ)
rpy2 / R interface
pandas Ecosystem
Comparison with R / R libraries
Comparison with SQL
Comparison with SAS
Comparison with Stata
API Reference
Input/Output
General functions
Series
DataFrame
Pandas Arrays
Panel
Indexing
Date Offsets
DateOffset
BusinessDay
BusinessHour
CustomBusinessDay
pandas.tseries.offsets.CustomBusinessDay
Properties
Methods
CustomBusinessHour
MonthOffset
MonthEnd
MonthBegin
BusinessMonthEnd
BusinessMonthBegin
CustomBusinessMonthEnd
CustomBusinessMonthBegin
SemiMonthOffset
SemiMonthEnd
SemiMonthBegin
Week
WeekOfMonth
LastWeekOfMonth
QuarterOffset
BQuarterEnd
BQuarterBegin
QuarterEnd
QuarterBegin
YearOffset
BYearEnd
BYearBegin
YearEnd
YearBegin
FY5253
FY5253Quarter
Easter
Tick
Day
Hour
Minute
Second
Milli
Micro
Nano
BDay
BMonthEnd
BMonthBegin
CBMonthEnd
CBMonthBegin
CDay
Frequencies
Window
GroupBy
Resampling
Style
Plotting
General utility functions
Extensions
Developer
Internals
Extending Pandas
Release Notes
Search
Enter search terms or a module, class or function name.
pandas.tseries.offsets.CustomBusinessDay.normalize
¶
CustomBusinessDay.
normalize
= False
¶
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