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
- 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
- Constructor
- Attributes
- Conversion
- Indexing, iteration
- Binary operator functions
- Function application, GroupBy & Window
- Computations / Descriptive Stats
- Reindexing / Selection / Label manipulation
- Missing data handling
- Reshaping, sorting
- Combining / joining / merging
- Time series-related
- Datetimelike Properties
- String handling
- pandas.Series.str.capitalize
- pandas.Series.str.cat
- pandas.Series.str.center
- pandas.Series.str.contains
- pandas.Series.str.count
- pandas.Series.str.decode
- pandas.Series.str.encode
- pandas.Series.str.endswith
- pandas.Series.str.extract
- pandas.Series.str.extractall
- pandas.Series.str.find
- pandas.Series.str.findall
- pandas.Series.str.get
- pandas.Series.str.index
- pandas.Series.str.join
- pandas.Series.str.len
- pandas.Series.str.ljust
- pandas.Series.str.lower
- pandas.Series.str.lstrip
- pandas.Series.str.match
- pandas.Series.str.normalize
- pandas.Series.str.pad
- pandas.Series.str.partition
- pandas.Series.str.repeat
- pandas.Series.str.replace
- pandas.Series.str.rfind
- pandas.Series.str.rindex
- pandas.Series.str.rjust
- pandas.Series.str.rpartition
- pandas.Series.str.rstrip
- pandas.Series.str.slice
- pandas.Series.str.slice_replace
- pandas.Series.str.split
- pandas.Series.str.rsplit
- pandas.Series.str.startswith
- pandas.Series.str.strip
- pandas.Series.str.swapcase
- pandas.Series.str.title
- pandas.Series.str.translate
- pandas.Series.str.upper
- pandas.Series.str.wrap
- pandas.Series.str.zfill
- pandas.Series.str.isalnum
- pandas.Series.str.isalpha
- pandas.Series.str.isdigit
- pandas.Series.str.isspace
- pandas.Series.str.islower
- pandas.Series.str.isupper
- pandas.Series.str.istitle
- pandas.Series.str.isnumeric
- pandas.Series.str.isdecimal
- pandas.Series.str.get_dummies
- Categorical
- Plotting
- Serialization / IO / Conversion
- Sparse
- DataFrame
- Panel
- Index
- Numeric Index
- CategoricalIndex
- IntervalIndex
- MultiIndex
- DatetimeIndex
- TimedeltaIndex
- PeriodIndex
- Scalars
- 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.Series.str.isnumeric¶
-
Series.str.isnumeric()[source]¶ Check whether all characters in each string in the Series/Index are numeric. Equivalent to
str.isnumeric().Returns: - is : Series/array of boolean values