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  4. pandera.dtypes.PandasDtype
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How to use the pandera.dtypes.PandasDtype function in pandera

To help you get started, we’ve selected a few pandera examples, based on popular ways it is used in public projects.

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github pandera-dev / pandera / pandera / dtypes.py View on Github external
Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Float16 = PandasDtype.Float16
Float32 = PandasDtype.Float32
Float64 = PandasDtype.Float64
Int = PandasDtype.Int
Int8 = PandasDtype.Int8
Int16 = PandasDtype.Int16
Int32 = PandasDtype.Int32
Int64 = PandasDtype.Int64
UInt8 = PandasDtype.UInt8
UInt16 = PandasDtype.UInt16
UInt32 = PandasDtype.UInt32
UInt64 = PandasDtype.UInt64
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta
github pandera-dev / pandera / pandera / dtypes.py View on Github external
Int8 = "int8"
    Int16 = "int16"
    Int32 = "int32"
    Int64 = "int64"
    UInt8 = "uint8"
    UInt16 = "uint16"
    UInt32 = "uint32"
    UInt64 = "uint64"
    Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Float16 = PandasDtype.Float16
Float32 = PandasDtype.Float32
Float64 = PandasDtype.Float64
Int = PandasDtype.Int
Int8 = PandasDtype.Int8
Int16 = PandasDtype.Int16
Int32 = PandasDtype.Int32
Int64 = PandasDtype.Int64
UInt8 = PandasDtype.UInt8
UInt16 = PandasDtype.UInt16
UInt32 = PandasDtype.UInt32
UInt64 = PandasDtype.UInt64
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta
github pandera-dev / pandera / pandera / dtypes.py View on Github external
Float = PandasDtype.Float
Float16 = PandasDtype.Float16
Float32 = PandasDtype.Float32
Float64 = PandasDtype.Float64
Int = PandasDtype.Int
Int8 = PandasDtype.Int8
Int16 = PandasDtype.Int16
Int32 = PandasDtype.Int32
Int64 = PandasDtype.Int64
UInt8 = PandasDtype.UInt8
UInt16 = PandasDtype.UInt16
UInt32 = PandasDtype.UInt32
UInt64 = PandasDtype.UInt64
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta
github pandera-dev / pandera / pandera / dtypes.py View on Github external
Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Float16 = PandasDtype.Float16
Float32 = PandasDtype.Float32
Float64 = PandasDtype.Float64
Int = PandasDtype.Int
Int8 = PandasDtype.Int8
Int16 = PandasDtype.Int16
Int32 = PandasDtype.Int32
Int64 = PandasDtype.Int64
UInt8 = PandasDtype.UInt8
UInt16 = PandasDtype.UInt16
UInt32 = PandasDtype.UInt32
UInt64 = PandasDtype.UInt64
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta
github pandera-dev / pandera / pandera / dtypes.py View on Github external
Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Float16 = PandasDtype.Float16
Float32 = PandasDtype.Float32
Float64 = PandasDtype.Float64
Int = PandasDtype.Int
Int8 = PandasDtype.Int8
Int16 = PandasDtype.Int16
Int32 = PandasDtype.Int32
Int64 = PandasDtype.Int64
UInt8 = PandasDtype.UInt8
UInt16 = PandasDtype.UInt16
UInt32 = PandasDtype.UInt32
UInt64 = PandasDtype.UInt64
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta
github pandera-dev / pandera / pandera / dtypes.py View on Github external
UInt32 = "uint32"
    UInt64 = "uint64"
    Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Float16 = PandasDtype.Float16
Float32 = PandasDtype.Float32
Float64 = PandasDtype.Float64
Int = PandasDtype.Int
Int8 = PandasDtype.Int8
Int16 = PandasDtype.Int16
Int32 = PandasDtype.Int32
Int64 = PandasDtype.Int64
UInt8 = PandasDtype.UInt8
UInt16 = PandasDtype.UInt16
UInt32 = PandasDtype.UInt32
UInt64 = PandasDtype.UInt64
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta
github pandera-dev / pandera / pandera / dtypes.py View on Github external
Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Float16 = PandasDtype.Float16
Float32 = PandasDtype.Float32
Float64 = PandasDtype.Float64
Int = PandasDtype.Int
Int8 = PandasDtype.Int8
Int16 = PandasDtype.Int16
Int32 = PandasDtype.Int32
Int64 = PandasDtype.Int64
UInt8 = PandasDtype.UInt8
UInt16 = PandasDtype.UInt16
UInt32 = PandasDtype.UInt32
UInt64 = PandasDtype.UInt64
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta
github pandera-dev / pandera / pandera / dtypes.py View on Github external
Category = PandasDtype.Category
Float = PandasDtype.Float
Float16 = PandasDtype.Float16
Float32 = PandasDtype.Float32
Float64 = PandasDtype.Float64
Int = PandasDtype.Int
Int8 = PandasDtype.Int8
Int16 = PandasDtype.Int16
Int32 = PandasDtype.Int32
Int64 = PandasDtype.Int64
UInt8 = PandasDtype.UInt8
UInt16 = PandasDtype.UInt16
UInt32 = PandasDtype.UInt32
UInt64 = PandasDtype.UInt64
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta
github pandera-dev / pandera / pandera / dtypes.py View on Github external
UInt8 = "uint8"
    UInt16 = "uint16"
    UInt32 = "uint32"
    UInt64 = "uint64"
    Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Float16 = PandasDtype.Float16
Float32 = PandasDtype.Float32
Float64 = PandasDtype.Float64
Int = PandasDtype.Int
Int8 = PandasDtype.Int8
Int16 = PandasDtype.Int16
Int32 = PandasDtype.Int32
Int64 = PandasDtype.Int64
UInt8 = PandasDtype.UInt8
UInt16 = PandasDtype.UInt16
UInt32 = PandasDtype.UInt32
UInt64 = PandasDtype.UInt64
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta

pandera

A light-weight and flexible data validation and testing tool for statistical data objects.

GitHub
MIT
Latest version published 2 months ago

Package Health Score

91 / 100
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