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FNRN_to_XCN

class reliability.Convert_data.FNRN_to_XCN(failures, num_failures, right_censored=None, num_right_censored=None, censor_code='C', failure_code='F')

Converts data from FNRN format to XCN format.

Parameters:

• failures (array, list) – The failure times
• num_failures (array, list) – The number of failures for each failure time. Length must match length of failures.
• right_censored (array, list, optional) – The right censored times
• num_right_censored (array, list, optional) – The number of right censored for each right censored time. Length must match length of right_censored.
• censor_code (str, int, optional) – The code to use for the censored items. Default is ‘C’
• failure_code (str, int, optional) – The code to use for the failed items. Default is ‘F’

Returns:

• X (array) – The event times
• C (array) – The censor codes
• N (array) – The number of events at each event time

Notes

Example usage:

XCN = FNRN_to_XCN(failures=[1, 2, 3], num_failures=[2, 2, 1], right_censored=[9, 8, 7], num_right_censored=[3, 2, 1])
print(XCN.X)
    >>> [1. 2. 3. 7. 8. 9.]
print(XCN.C)
    >>> ['F' 'F' 'F' 'C' 'C' 'C']
print(XCN.N)
   >>> [2 2 1 1 2 3]
XCN.print()
   >>> Data (XCN format)
       event time censor code  number of events
                1           F                 2
                2           F                 2
                3           F                 1
                7           C                 1
                8           C                 2
                9           C                 3

print()

This will print a dataframe of the data in XCN format to the console

write_to_xlsx(path, **kwargs)

This will export the data in XCN format to an xlsx file at the specified path.

Parameters:

• path (str) – The file path of the xlsx file to be written
• kwargs – Keyword arguments passed directly to pandas