Struct DataFrameEqualOptions 

pub struct DataFrameEqualOptions {
    pub check_row_order: bool,
    pub check_column_order: bool,
    pub check_dtypes: bool,
    pub check_exact: bool,
    pub rel_tol: f64,
    pub abs_tol: f64,
    pub categorical_as_str: bool,
}

Configuration options for comparing DataFrame equality.

Controls the behavior of DataFrame equality comparisons by specifying which aspects to check and the tolerance for floating point comparisons.

Fields

check_row_order: bool

Whether to check that rows appear in the same order.

check_column_order: bool

Whether to check that columns appear in the same order.

check_dtypes: bool

Whether to check that the data types match for corresponding columns.

check_exact: bool

Whether to check for exact equality (true) or approximate equality (false) for floating point values.

rel_tol: f64

Relative tolerance for approximate equality of floating point values.

abs_tol: f64

Absolute tolerance for approximate equality of floating point values.

categorical_as_str: bool

Whether to compare categorical values as strings.

Implementations

impl DataFrameEqualOptions

pub fn new() -> Self

Creates a new DataFrameEqualOptions with default settings.

pub fn with_check_row_order(self, value: bool) -> Self

Sets whether to check that rows appear in the same order.

pub fn with_check_column_order(self, value: bool) -> Self

Sets whether to check that columns appear in the same order.

pub fn with_check_dtypes(self, value: bool) -> Self

Sets whether to check that data types match for corresponding columns.

pub fn with_check_exact(self, value: bool) -> Self

Sets whether to check for exact equality (true) or approximate equality (false) for floating point values.

pub fn with_rel_tol(self, value: f64) -> Self

Sets the relative tolerance for approximate equality of floating point values.

pub fn with_abs_tol(self, value: f64) -> Self

Sets the absolute tolerance for approximate equality of floating point values.

pub fn with_categorical_as_str(self, value: bool) -> Self

Sets whether to compare categorical values as strings.

Trait Implementations

impl Default for DataFrameEqualOptions

fn default() -> Self

Creates a new DataFrameEqualOptions with default settings.

Default configuration:

• Checks row order, column order, and data types
• Uses approximate equality comparisons for floating point values
• Sets relative tolerance to 1e-5 and absolute tolerance to 1e-8 for floating point comparisons
• Does not convert categorical values to strings for comparison