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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
Constructor
pandas.Series
Attributes
Conversion
Indexing, iteration
Binary operator functions
Function application, GroupBy
Computations / Descriptive Stats
Reindexing / Selection / Label manipulation
Missing data handling
Reshaping, sorting
Combining / joining / merging
Time series-related
Datetimelike Properties
String handling
Categorical
Plotting
Serialization / IO / Conversion
pandas.Series.from_csv
pandas.Series.to_pickle
pandas.Series.to_csv
pandas.Series.to_dict
pandas.Series.to_frame
pandas.Series.to_hdf
pandas.Series.to_sql
pandas.Series.to_msgpack
pandas.Series.to_json
pandas.Series.to_sparse
pandas.Series.to_dense
pandas.Series.to_string
pandas.Series.to_clipboard
Sparse methods
DataFrame
Panel
Panel4D
Index
CategoricalIndex
DatetimeIndex
TimedeltaIndex
GroupBy
Style
General utility functions
Internals
Release Notes
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pandas.Series.to_dict
¶
Series.
to_dict
(
)
¶
Convert Series to {label -> value} dict
Returns:
value_dict
: dict
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pandas 0.17.1 documentation
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