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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
DataFrame
Constructor
pandas.DataFrame
Attributes and underlying data
pandas.DataFrame.as_matrix
pandas.DataFrame.dtypes
pandas.DataFrame.ftypes
pandas.DataFrame.get_dtype_counts
pandas.DataFrame.get_ftype_counts
pandas.DataFrame.select_dtypes
pandas.DataFrame.values
pandas.DataFrame.axes
pandas.DataFrame.ndim
pandas.DataFrame.size
pandas.DataFrame.shape
pandas.DataFrame.memory_usage
Conversion
Indexing, iteration
Binary operator functions
Function application, GroupBy & Window
Computations / Descriptive Stats
Reindexing / Selection / Label manipulation
Missing data handling
Reshaping, sorting, transposing
Combining / joining / merging
Time series-related
Plotting
Serialization / IO / Conversion
Panel
Panel4D
Index
CategoricalIndex
MultiIndex
DatetimeIndex
TimedeltaIndex
Window
GroupBy
Resampling
Style
General utility functions
Internals
Release Notes
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pandas.DataFrame.get_dtype_counts
¶
DataFrame.
get_dtype_counts
(
)
¶
Return the counts of dtypes in this object.
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