6 examples of 'pandas median' in Python

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def median_absolute_deviation(data,suspect):
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    series=pd.Series(data)
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    median=series.median()
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    demedians=np.abs(series-median)
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    demedian=demedians.median()
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    if demedian==0:
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        return False
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    test=demedians.iget(-1)/demedian
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    if test>6:
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        return True
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    return False

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@property
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def median(self):
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    """Return the median."""
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    return 0

31
def smm(df: pd.DataFrame,
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        period: int = 50,
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        col: str = pd_utils.CLOSE_COL) -> pd.Series:
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    """
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    Compute the simple moving median over a given period.
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    :param df: The data frame.
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    :param period: The number of days to use.
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    :param col: The name of the column to use to compute the median.
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    :return: Series containing the simple moving median.
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    """
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    temp_series = df[col].rolling(center=False,
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                                  window=period,
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                                  min_periods=period - 1).median()
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    return pd.Series(temp_series, index=df.index, name='smm')

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@property
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def median(self):
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    """
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    Median of *k*-mer counts.
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    """
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    return np.median(self.counts)

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def median(self):
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    return self.quantiles([0.5])[:,0]

26
def median(values):
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    length = len(values)
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    values.sort()
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    if length % 2 != 0:
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        # Odd number of values, so chose middle one
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        return values[length/2]
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    else:
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        # Even number of values, so mean of middle two
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        return mean([values[length/2], values[(length/2)-1]])