Return the minimum value of the Array or minimum along
        an axis.

        See Also
        --------
        numpy.ndarray.min
        Index.min : Return the minimum value in an Index.
        Series.min : Return the minimum value in a Series.
767827
def min(self, axis=None, skipna=True, *args, **kwargs):
        
        nv.validate_min(args, kwargs)
        nv.validate_minmax_axis(axis)

        result = nanops.nanmin(self.asi8, skipna=skipna, mask=self.isna())
        if isna(result):
            # Period._from_ordinal does not handle np.nan gracefully
            return NaT
        return self._box_func(result)
1026363
def get_min_value(self):
        

        value = self.get_default_value()

        if self.attribute_type is str:
            min_value = value[:self.min_length - 1]

        elif self.attribute_type is int:
            min_value = self.min_length - 1

        else:
            raise TypeError('Attribute %s can not have a minimum value' % self.local_name)

        return min_value
110887
public double min(double[] series) {
    double min = Double.MAX_VALUE;
    for (int i = 0; i < series.length; i++) {
      if (min > series[i]) {
        min = series[i];
      }
    }
    return min;
  }
289617
def get(self, key):
        ''''''
        if key in self and len(self[key]) > 0:
            return min(self[key])
        else:
            return 0
690272
public T getMinimum() {
        Lock lock = this.lock.readLock();
        lock.lock();
        try {
            return this.minimum != null ? this.minimum : (T)this.math.createZeroValue();
        } finally {
            lock.unlock();
        }
    }
216141
def min(self):
        
        res = self._qexec("min(%s)" % self._name)
        if len(res) > 0:
            self._min = res[0][0]
        return self._min
190489
function min(array, byProperty) {
    if (!array || array.length === 0) return undefined;
    
    var i = array.length - 1, 
        result = byProperty ? array[i][byProperty] : array[i];

    if (byProperty) {
      while (i--) {
        if (array[i][byProperty] < result) {
          result = array[i][byProperty];
        }
      }
    }
    else {
      while (i--) {
        if (array[i] < result) {
          result = array[i];
        }
      }
    }
    return result;
  }
148579
def min(self):
        
        if len(self._data) == 0:
            return 10
        return next(iter(sorted(self._data.keys())))
969164
def get_value_by_xy(self, x, y):
        
        if x < self.xMin or x > self.xMax or y < self.yMin or y > self.yMax:
            return None
            # raise ValueError("The x or y value must be within the Min and Max!")
        else:
            row = self.nRows - int(numpy.ceil((y - self.yMin) / self.dx))
            col = int(numpy.floor((x - self.xMin) / self.dx))
            value = self.data[row][col]
            if value == self.noDataValue:
                return None
            else:
                return value
431179
def min(self, axis=None, skipna=True):
        """"""
        nv.validate_minmax_axis(axis)
        return self._minmax('min')
857843
def range(self, axis=None):
        
        return (self.min(axis=axis), self.max(axis=axis))
321901
def x(self):
        '''
        
        '''
        if None not in (self.x_min, self.x_max, self.x_step) and \
                self.x_min != self.x_max:
            x = np.arange(self.x_min, self.x_max+self.x_step-self.y_step*0.1, self.x_step)
        else:
            x = np.array([])
        return x
1244702
def index_nearest(value, array):
    

    a = (array-value)**2
    return index(a.min(), a)
14744
def _min(self):
        """"""
        return (
            self.range[0] if (self.range and self.range[0] is not None) else
            (min(self._values) if self._values else None)
        )
271003
function() {
            	var mins = [];

            	for(var i = 1; i <= this.rows(); i++) {
            	    var min = null;
            	    var minIndex = -1;

            	    for(var j = 1; j <= this.cols(); j++) {
            		if(min === null || this.e(i, j) < min) {
            		    min = this.e(i, j);
            		    minIndex = j;
            		}
            	    }

            	    mins.push(minIndex);
            	}

            	return $V(mins);
                }
185510
def min(self):
        
        if self.is_quantized or self.base_dtype in (
            bool,
            string,
            complex64,
            complex128,
        ):
            raise TypeError("Cannot find minimum value of %s." % self)

        # there is no simple way to get the min value of a dtype, we have to check
        # float and int types separately
        try:
            return np.finfo(self.as_numpy_dtype()).min
        except:  # bare except as possible raises by finfo not documented
            try:
                return np.iinfo(self.as_numpy_dtype()).min
            except:
                if self.base_dtype == bfloat16:
                    return _np_bfloat16(float.fromhex("-0x1.FEp127"))
                raise TypeError("Cannot find minimum value of %s." % self)
13294
def min(self):
        """"""
        if "min" not in self.attrs.keys():

            def f(dataset, s):
                return np.nanmin(dataset[s])

            self.attrs["min"] = np.nanmin(list(self.chunkwise(f).values()))
        return self.attrs["min"]