Numerical Column Stats¶
coding=utf-8 Build model for a dataset by identifying type of column along with its respective parameters.
- class dataprofiler.profilers.numerical_column_stats.abstractstaticmethod(function)¶
Bases:
staticmethod
- class dataprofiler.profilers.numerical_column_stats.NumericStatsMixin(options=None)¶
Bases:
objectAbstract numerical column profile subclass of BaseColumnProfiler. Represents a column in the dataset which is a text column. Has Subclasses itself.
Initialization of column base properties and itself.
- Parameters
options (NumericalOptions) – Options for the numerical stats.
- type = None¶
- profile()¶
Property for profile. Returns the profile of the column. :return:
- 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
- property mean¶
- property variance¶
- property stddev¶
- property skewness¶
- property kurtosis¶
- abstract update(df_series)¶
Abstract Method for updating the numerical profile properties with an uncleaned dataset.
- Parameters
df_series (pandas.core.series.Series) – df series with nulls removed
- Returns
None
- 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
- 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