Int Column Profile¶
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class
dataprofiler.profilers.int_column_profile.IntColumn(name, options=None)¶ Bases:
dataprofiler.profilers.numerical_column_stats.NumericStatsMixin,dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfilerInteger 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
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type= 'int'¶
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property
profile¶ Property for profile. Returns the profile of the column.
- Returns
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property
data_type_ratio¶ Calculates the ratio of samples which match this data type.
- Returns
ratio of data type
- Return type
float
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update(df_series)¶ Updates the column profile.
- Parameters
df_series (pandas.core.series.Series) – df series
- Returns
None
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col_type= None¶
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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
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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
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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
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property
kurtosis¶
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property
mean¶
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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
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property
skewness¶
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property
stddev¶
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property
variance¶