Profiler Options¶

coding=utf-8 Specify the options when running the data profiler.

class dataprofiler.profilers.profiler_options.BaseOption¶

Bases: object

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.BooleanOption(is_enabled=True)¶

Bases: dataprofiler.profilers.profiler_options.BaseOption

Boolean option

Variables: is_enabled (bool) – boolean option to enable/disable the option.

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.HistogramOption(is_enabled=True, bin_count_or_method='auto')¶

Bases: dataprofiler.profilers.profiler_options.BooleanOption

Options for histograms

Variables

is_enabled (bool) – boolean option to enable/disable the option.
bin_count_or_method (Union[str, int, list(str)]) – bin count or the method with which to calculate histograms

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.BaseInspectorOptions(is_enabled=True)¶

Bases: dataprofiler.profilers.profiler_options.BooleanOption

Base options for all the columns.

Variables: is_enabled (bool) – boolean option to enable/disable the column.

is_prop_enabled(prop)¶

Checks to see if a property is enabled or not and returns boolean.

Parameters: prop (String) – The option to check if it is enabled
Returns: Whether or not the property is enabled
Return type: Boolean

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.NumericalOptions¶

Bases: dataprofiler.profilers.profiler_options.BaseInspectorOptions

Options for the Numerical Stats Mixin

Variables

is_enabled (bool) – boolean option to enable/disable the column.
min (BooleanOption) – boolean option to enable/disable min
max (BooleanOption) – boolean option to enable/disable max
sum (BooleanOption) – boolean option to enable/disable sum
variance (BooleanOption) – boolean option to enable/disable variance
skewness (BooleanOption) – boolean option to enable/disable skewness
kurtosis (BooleanOption) – boolean option to enable/disable kurtosis
histogram_and_quantiles (BooleanOption) – boolean option to enable/disable histogram_and_quantiles

:ivar bias_correction : boolean option to enable/disable existence of bias :vartype bias: BooleanOption :ivar num_zeros: boolean option to enable/disable num_zeros :vartype num_zeros: BooleanOption :ivar num_negatives: boolean option to enable/disable num_negatives :vartype num_negatives: BooleanOption :ivar is_numeric_stats_enabled: boolean to enable/disable all numeric

stats

property is_numeric_stats_enabled¶

Returns the state of numeric stats being enabled / disabled. If any numeric stats property is enabled it will return True, otherwise it will return False.

Returns: true if any numeric stats property is enabled, otherwise false
Rtype bool

property properties¶: Includes at least: is_enabled: Turns on or off the column.

is_prop_enabled(prop)¶

Checks to see if a property is enabled or not and returns boolean.

Parameters: prop (String) – The option to check if it is enabled
Returns: Whether or not the property is enabled
Return type: Boolean

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.IntOptions¶

Bases: dataprofiler.profilers.profiler_options.NumericalOptions

Options for the Int Column

Variables

is_enabled (bool) – boolean option to enable/disable the column.
min (BooleanOption) – boolean option to enable/disable min
max (BooleanOption) – boolean option to enable/disable max
sum (BooleanOption) – boolean option to enable/disable sum
variance (BooleanOption) – boolean option to enable/disable variance
skewness (BooleanOption) – boolean option to enable/disable skewness
kurtosis (BooleanOption) – boolean option to enable/disable kurtosis
histogram_and_quantiles (BooleanOption) – boolean option to enable/disable histogram_and_quantiles

stats

property is_numeric_stats_enabled¶

Returns the state of numeric stats being enabled / disabled. If any numeric stats property is enabled it will return True, otherwise it will return False.

Returns: true if any numeric stats property is enabled, otherwise false
Rtype bool

is_prop_enabled(prop)¶

Checks to see if a property is enabled or not and returns boolean.

Parameters: prop (String) – The option to check if it is enabled
Returns: Whether or not the property is enabled
Return type: Boolean

property properties¶: Includes at least: is_enabled: Turns on or off the column.

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.PrecisionOptions(is_enabled=True, sample_ratio=None)¶

Bases: dataprofiler.profilers.profiler_options.BooleanOption

Options for precision

Variables

is_enabled (bool) – boolean option to enable/disable the column.
sample_ratio (float) – float option to determine ratio of valid float samples in determining percision. This ratio will override any defaults.

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.FloatOptions¶

Bases: dataprofiler.profilers.profiler_options.NumericalOptions

Options for the Float Column.

Variables

is_enabled (bool) – boolean option to enable/disable the column.
min (BooleanOption) – boolean option to enable/disable min
max (BooleanOption) – boolean option to enable/disable max
sum (BooleanOption) – boolean option to enable/disable sum
variance (BooleanOption) – boolean option to enable/disable variance
skewness (BooleanOption) – boolean option to enable/disable skewness
kurtosis (BooleanOption) – boolean option to enable/disable kurtosis
histogram_and_quantiles (BooleanOption) – boolean option to enable/disable histogram_and_quantiles

stats

property is_numeric_stats_enabled¶

Returns the state of numeric stats being enabled / disabled. If any numeric stats property is enabled it will return True, otherwise it will return False.

Returns: true if any numeric stats property is enabled, otherwise false
Rtype bool

is_prop_enabled(prop)¶

Checks to see if a property is enabled or not and returns boolean.

Parameters: prop (String) – The option to check if it is enabled
Returns: Whether or not the property is enabled
Return type: Boolean

property properties¶: Includes at least: is_enabled: Turns on or off the column.

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.TextOptions¶

Bases: dataprofiler.profilers.profiler_options.NumericalOptions

Options for the Text Column:

Variables

is_enabled (bool) – boolean option to enable/disable the column.
vocab (BooleanOption) – boolean option to enable/disable vocab
min (BooleanOption) – boolean option to enable/disable min
max (BooleanOption) – boolean option to enable/disable max
sum (BooleanOption) – boolean option to enable/disable sum
variance (BooleanOption) – boolean option to enable/disable variance
skewness (BooleanOption) – boolean option to enable/disable skewness
kurtosis (BooleanOption) – boolean option to enable/disable kurtosis

:ivar bias_correction : boolean option to enable/disable existence of bias :vartype bias: BooleanOption :ivar histogram_and_quantiles: boolean option to enable/disable

histogram_and_quantiles

Variables

num_zeros (BooleanOption) – boolean option to enable/disable num_zeros
num_negatives (BooleanOption) – boolean option to enable/disable num_negatives
is_numeric_stats_enabled (bool) – boolean to enable/disable all numeric stats

property is_numeric_stats_enabled¶

Returns the state of numeric stats being enabled / disabled. If any numeric stats property is enabled it will return True, otherwise it will return False. Although it seems redundant, this method is needed in order for the function below, the setter function also called is_numeric_stats_enabled, to properly work.

Returns: true if any numeric stats property is enabled, otherwise false
Rtype bool

is_prop_enabled(prop)¶

Checks to see if a property is enabled or not and returns boolean.

Parameters: prop (String) – The option to check if it is enabled
Returns: Whether or not the property is enabled
Return type: Boolean

property properties¶: Includes at least: is_enabled: Turns on or off the column.

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.DateTimeOptions¶

Bases: dataprofiler.profilers.profiler_options.BaseInspectorOptions

Options for the Datetime Column

Variables: is_enabled (bool) – boolean option to enable/disable the column.

is_prop_enabled(prop)¶

Checks to see if a property is enabled or not and returns boolean.

Parameters: prop (String) – The option to check if it is enabled
Returns: Whether or not the property is enabled
Return type: Boolean

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.OrderOptions¶

Bases: dataprofiler.profilers.profiler_options.BaseInspectorOptions

Options for the Order Column

Variables: is_enabled (bool) – boolean option to enable/disable the column.

is_prop_enabled(prop)¶

Checks to see if a property is enabled or not and returns boolean.

Parameters: prop (String) – The option to check if it is enabled
Returns: Whether or not the property is enabled
Return type: Boolean

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.CategoricalOptions¶

Bases: dataprofiler.profilers.profiler_options.BaseInspectorOptions

Options for the Categorical Column

Variables: is_enabled (bool) – boolean option to enable/disable the column.

is_prop_enabled(prop)¶

Checks to see if a property is enabled or not and returns boolean.

Parameters: prop (String) – The option to check if it is enabled
Returns: Whether or not the property is enabled
Return type: Boolean

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.DataLabelerOptions¶

Bases: dataprofiler.profilers.profiler_options.BaseInspectorOptions

Options for the Data Labeler Column.

Variables

is_enabled (bool) – boolean option to enable/disable the column.
data_labeler_dirpath (str) – String to load data labeler from
max_sample_size (BaseDataLabeler) – Int to decide sample size
data_labeler_object – DataLabeler object used in profiler

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

is_prop_enabled(prop)¶

Checks to see if a property is enabled or not and returns boolean.

Parameters: prop (String) – The option to check if it is enabled
Returns: Whether or not the property is enabled
Return type: Boolean

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.TextProfilerOptions(is_enabled=True, is_case_sensitive=True, stop_words=None)¶

Bases: dataprofiler.profilers.profiler_options.BaseInspectorOptions

Constructs the TextProfilerOption object with default values.

Variables

is_enabled (bool) – boolean option to enable/disable the option.
is_case_sensitive (bool) – option set for case sensitivity.
stop_words (Union[None, list(str)]) – option set for stop words.
words (BooleanOption) – option set for word update.
vocab (BooleanOption) – option set for vocab update.

is_prop_enabled(prop)¶

Checks to see if a property is enabled or not and returns boolean.

Parameters: prop (String) – The option to check if it is enabled
Returns: Whether or not the property is enabled
Return type: Boolean

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.StructuredOptions¶

Bases: dataprofiler.profilers.profiler_options.BaseOption

Constructs the StructuredOptions object with default values.

Variables

int (IntOptions) – option set for int profiling.
float (FloatOptions) – option set for float profiling.
datetime (DateTimeOptions) – option set for datetime profiling.
text (TextOptions) – option set for text profiling.
order (OrderOptions) – option set for order profiling.
category (CategoricalOptions) – option set for category profiling.
data_labeler (DataLabelerOptions) – option set for data_labeler profiling.

property enabled_profiles¶: Returns a list of the enabled profilers for columns.

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.UnstructuredOptions¶

Bases: dataprofiler.profilers.profiler_options.BaseOption

Constructs the UnstructuredOptions object with default values.

Variables

text (TextProfilerOptions) – option set for text profiling.
data_labeler (DataLabelerOptions) – option set for data_labeler profiling.

property enabled_profiles¶: Returns a list of the enabled profilers.

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

set(options)¶

Set all the options. Send in a dict that contains all of or a subset of the appropriate options. Set the values of the options. Will raise error if the formatting is improper.

Parameters: options (dict) – dict containing the options you want to set.
Returns: None

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

class dataprofiler.profilers.profiler_options.ProfilerOptions¶

Bases: dataprofiler.profilers.profiler_options.BaseOption

Initializes the ProfilerOptions object.

Variables

structured_options (StructuredOptions) – option set for structured dataset profiling.
unstructured_options (UnstructuredOptions) – option set for unstructured dataset profiling.

property properties¶

Returns a copy of the option properties.

Returns: dictionary of the option’s properties attr: value
Return type: dict

validate(raise_error=True)¶

Validates the options do not conflict and cause errors. Raises error/warning if so.

Parameters: raise_error (bool) – Flag that raises errors if true. Returns errors if false.
Returns: list of errors (if raise_error is false)
Return type: list(str)

set(options)¶

Overwrites BaseOption.set since the type (unstructured/structured) may need to be specified if the same options exist within both self.structured_options and self.unstructured_options

Parameters: options (dict) – Dictionary of options to set
Return: None