human
I am working on the file "CapstoneSEER/SEER Data Analysis Phase 3- Data Exploration.ipynb".
The first task is:
Next we moved to creating survival charts using a larger sample size. We created a class with a "plot_survival" function. For the graph we picked variables that the scientific literature finds significant-- Stage, ER status, PR status, age, and radiation treatment. The second plot compares the frequency of survival for censored and non-censored patients.
Can you write Python program for it?

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What is a the Python program you requested?
assistant
#Here is the Python program you requested.

class ExploreSeer(MasterSeer):

    def __init__(self, path=r'./data/', testMode=False, verbose=True, sample_size=5000):

        # user supplied parameters
        self.testMode = testMode        # import one file, 500 records and return
        self.verbose = verbose          # prints status messages
        self.sample_size = sample_size  # number of rows to pull for testing

        if type(path) != str:
            raise TypeError('path must be a string')

        if path[-1] != '/':
            path += '/'            # if path does not end with a backslash, add one

        self.path = path

        # open connection to the database
        super().__init__(path, False, verbose=verbose)
        self.db_conn, self.db_cur = super().init_database(False)

    def __del__(self):
        super().__del__()

   
    def plot_survival(self):

        df = super().load_data(col  = ['YR_BRTH','AGE_DX','LATERAL','RADIATN','HISTREC','ERSTATUS',
                                       'PRSTATUS','BEHANAL','HST_STGA','NUMPRIMS', 'SRV_TIME_MON', 
                                       'SRV_TIME_MON_PA', 'DTH_CLASS', 'O_DTH_CLASS', 'STAT_REC'], 
                cond = 'SRV_TIME_MON < 1000 AND HST_STGA < 8 AND DTH_CLASS < 9 AND ERSTATUS < 4 AND PRSTATUS < 4', 
                               sample_size = 100000)

        kmf = KaplanMeierFitter()

        try:
            df.RADIATN = df.RADIATN.replace(7, 0)
            df = df[df.RADIATN < 7] 
        except Exception as err:
            pass

        # 0-negative, 1-borderline,, 2-positive
        df = df[df.ERSTATUS != 4]
        df = df[df.ERSTATUS != 9]
        df.ERSTATUS = df.ERSTATUS.replace(2, 0)
        df.ERSTATUS = df.ERSTATUS.replace(1, 2)
        df.ERSTATUS = df.ERSTATUS.replace(3, 1)

        # 0-negative, 1-borderline,, 2-positive
        df = df[df.PRSTATUS != 4]
        df = df[df.PRSTATUS != 9]
        df.PRSTATUS = df.PRSTATUS.replace(2, 0)
        df.PRSTATUS = df.PRSTATUS.replace(1, 2)
        df.PRSTATUS = df.PRSTATUS.replace(3, 1)

        rad =...