# dask.dataframe.Index.min

#### Index.min(axis=0, skipna=True, numeric_only=False, split_every=False, \*\*kwargs)

Return the minimum of the values over the requested axis.

This docstring was copied from pandas.DataFrame.min.

Some inconsistencies with the Dask version may exist.

If you want the *index* of the minimum, use `idxmin`.
This is the equivalent of the `numpy.ndarray` method `argmin`.

* **Parameters:**
  **axis**
  : Axis for the function to be applied on.
    For Series this parameter is unused and defaults to 0.
    <br/>
    For DataFrames, specifying `axis=None` will apply the aggregation
    across both axes.
    <br/>
    #### Versionadded
    Added in version 2.0.0.

  **skipna**
  : Exclude NA/null values when computing the result.

  **numeric_only**
  : Include only float, int, boolean columns.

  **\*\*kwargs**
  : Additional keyword arguments have no effect but might be accepted for
    compatibility with NumPy. See [NumPy compatibility kwargs](https://pandas.pydata.org/pandas-docs/stable/user_guide/gotchas.html#gotchas-numpy-kwargs) for more.
* **Returns:**
  Series or scalar
  : Value containing the calculation referenced in the description.

#### SEE ALSO
[`Series.sum`](dask.dataframe.Series.sum.html.md#dask.dataframe.Series.sum)
: Return the sum.

[`Series.min`](dask.dataframe.Series.min.html.md#dask.dataframe.Series.min)
: Return the minimum.

[`Series.max`](dask.dataframe.Series.max.html.md#dask.dataframe.Series.max)
: Return the maximum.

[`Series.idxmin`](dask.dataframe.Series.idxmin.html.md#dask.dataframe.Series.idxmin)
: Return the index of the minimum.

[`Series.idxmax`](dask.dataframe.Series.idxmax.html.md#dask.dataframe.Series.idxmax)
: Return the index of the maximum.

[`DataFrame.sum`](dask.dataframe.DataFrame.sum.html.md#dask.dataframe.DataFrame.sum)
: Return the sum over the requested axis.

[`DataFrame.min`](dask.dataframe.DataFrame.min.html.md#dask.dataframe.DataFrame.min)
: Return the minimum over the requested axis.

[`DataFrame.max`](dask.dataframe.DataFrame.max.html.md#dask.dataframe.DataFrame.max)
: Return the maximum over the requested axis.

[`DataFrame.idxmin`](dask.dataframe.DataFrame.idxmin.html.md#dask.dataframe.DataFrame.idxmin)
: Return the index of the minimum over the requested axis.

[`DataFrame.idxmax`](dask.dataframe.DataFrame.idxmax.html.md#dask.dataframe.DataFrame.idxmax)
: Return the index of the maximum over the requested axis.

### Examples

```pycon
>>> idx = pd.MultiIndex.from_arrays(
...     [["warm", "warm", "cold", "cold"], ["dog", "falcon", "fish", "spider"]],
...     names=["blooded", "animal"],
... )
>>> s = pd.Series([4, 2, 0, 8], name="legs", index=idx)
>>> s
blooded  animal
warm     dog       4
         falcon    2
cold     fish      0
         spider    8
Name: legs, dtype: int64
```

```pycon
>>> s.min()
0
```

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