Int Column Profile

class dataprofiler.profilers.int_column_profile.IntColumn(name, options=None)

Bases: dataprofiler.profilers.numerical_column_stats.NumericStatsMixin, dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler

Integer column profile mixin with of numerical stats. Represents a column in the dataset which is an integer column.

Initialization of column base properties and itself.

Parameters
  • name (String) – Name of the data

  • options (IntOptions) – Options for the integer column

type = 'int'
property profile

Property for profile. Returns the profile of the column.

Returns

property data_type_ratio

Calculates the ratio of samples which match this data type.

Returns

ratio of data type

Return type

float

update(df_series)

Updates the column profile.

Parameters

df_series (pandas.core.series.Series) – df series

Returns

None

col_type = None
diff(other_profile, options=None)

Finds the differences for several numerical stats.

Parameters

other_profile (NumericStatsMixin Profile) – profile to find the difference with

Returns

the numerical stats differences

Return type

dict

static is_float(x)

For “0.80” this function returns True For “1.00” this function returns True For “1” this function returns True

Parameters

x (str) – string to test

Returns

if is float or not

Return type

bool

static is_int(x)

For “0.80” This function returns False For “1.00” This function returns True For “1” this function returns True

Parameters

x (str) – string to test

Returns

if is integer or not

Return type

bool

property kurtosis
property mean
property mode

Finds an estimate for the mode(s) of the data.

Returns

the mode(s) of the data

Return type

list(float)

static np_type_to_type(val)

Converts numpy variables to base python type variables

Parameters

val (numpy type or base type) – value to check & change

Return val

base python type

Rtype val

int or float

property skewness
property stddev
property variance