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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def clip_lower(self, threshold, axis=None, inplace=False):
 """ Trim values below a given threshold. .. deprecated:: 0.24.0 Use clip(lower=threshold) instead. Elements below the `threshold` will be changed to match the `threshold` value(s). Threshold can be a single value or an array, in the latter case it performs the truncation element-wise. Parameters threshold : numeric or array-like Minimum value allowed. All values below threshold will be set to this value. * float : every value is compared to `threshold`. * array-like : The shape of `threshold` should match the object it's compared to. When `self` is a Series, `threshold` should be the length. When `self` is a DataFrame, `threshold` should 2-D and the same shape as `self` for ``axis=None``, or 1-D and the same length as the axis being compared. axis : {0 or 'index', 1 or 'columns'}, default 0 Align `self` with `threshold` along the given axis. inplace : bool, default False Whether to perform the operation in place on the data. .. versionadded:: 0.21.0 Returns ------- Series or DataFrame Original data with values trimmed. See Also -------- Series.clip : General purpose method to trim Series values to given threshold(s). DataFrame.clip : General purpose method to trim DataFrame values to given threshold(s). Examples -------- Series single threshold clipping: 0 8 1 8 2 8 3 8 4 9 dtype: int64 Series clipping element-wise using an array of thresholds. `threshold` should be the same length as the Series. 0 5 1 8 2 7 3 8 4 9 dtype: int64 DataFrames can be compared to a scalar. A B 0 1 2 1 3 4 2 5 6 A B 0 3 3 1 3 4 2 5 6 Or to an array of values. By default, `threshold` should be the same shape as the DataFrame. A B 0 3 4 1 3 4 2 6 6 Control how `threshold` is broadcast with `axis`. In this case `threshold` should be the same length as the axis specified by `axis`. A B 0 3 3 1 3 4 2 5 6 A B 0 4 5 1 4 5 2 5 6 """

        warnings.warn('clip_lower(threshold) is deprecated, '
                      'use clip(lower=threshold) instead',
                      FutureWarning, stacklevel=2)
        return self._clip_with_one_bound(threshold, method=self.ge,
                                         axis=axis, inplace=inplace)