easyvvuq.sampling.dataframe_sampler

View Source

 1"""
 2"""
 3
 4from .base import BaseSamplingElement
 5import csv
 6
 7__license__ = "LGPL"
 8
 9
10class DataFrameSampler(BaseSamplingElement, sampler_name="csv_sampler"):
11
12    def __init__(self, df, counter=0):
13        """Takes a DataFrame and outputs it row by row.
14        """
15        self.data = df.to_dict(orient='records')
16        self.counter = counter
17
18    def is_finite(self):
19        return True
20
21    def n_samples(self):
22        """Returns the number of samples in this sampler.
23        Returns
24        -------
25        if the user specifies maximum number of samples than return that, otherwise - error
26        """
27        return len(self.data)
28
29    def __next__(self):
30        try:
31            return self.data[self.counter]
32        finally:
33            if self.counter < self.n_samples():
34                self.counter += 1
35            else:
36                raise StopIteration

class DataFrameSampler(easyvvuq.sampling.base.BaseSamplingElement): View Source

11class DataFrameSampler(BaseSamplingElement, sampler_name="csv_sampler"):
12
13    def __init__(self, df, counter=0):
14        """Takes a DataFrame and outputs it row by row.
15        """
16        self.data = df.to_dict(orient='records')
17        self.counter = counter
18
19    def is_finite(self):
20        return True
21
22    def n_samples(self):
23        """Returns the number of samples in this sampler.
24        Returns
25        -------
26        if the user specifies maximum number of samples than return that, otherwise - error
27        """
28        return len(self.data)
29
30    def __next__(self):
31        try:
32            return self.data[self.counter]
33        finally:
34            if self.counter < self.n_samples():
35                self.counter += 1
36            else:
37                raise StopIteration

Baseclass for all EasyVVUQ sampling elements.

Attributes

sampler_name (str): Name of the particular sampler.

DataFrameSampler(df, counter=0) View Source

13    def __init__(self, df, counter=0):
14        """Takes a DataFrame and outputs it row by row.
15        """
16        self.data = df.to_dict(orient='records')
17        self.counter = counter

Takes a DataFrame and outputs it row by row.

data

counter

def is_finite(self): View Source

19    def is_finite(self):
20        return True

def n_samples(self): View Source

22    def n_samples(self):
23        """Returns the number of samples in this sampler.
24        Returns
25        -------
26        if the user specifies maximum number of samples than return that, otherwise - error
27        """
28        return len(self.data)

Returns the number of samples in this sampler.

Returns

if the user specifies maximum number of samples than return that, otherwise - error

sampler_name = 'csv_sampler'

Inherited Members

easyvvuq.sampling.base.BaseSamplingElement: iteration; element_category; element_name; analysis_class; sampler_id
easyvvuq.base_element.BaseElement: element_version