本文整理匯總了Python中pandas.core.frame.DataFrame.idxmax方法的典型用法代碼示例。如果您正苦於以下問題：Python DataFrame.idxmax方法的具體用法？Python DataFrame.idxmax怎麽用？Python DataFrame.idxmax使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pandas.core.frame.DataFrame的用法示例。
在下文中一共展示了DataFrame.idxmax方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: idxmax
# 需要導入模塊: from pandas.core.frame import DataFrame [as 別名]
# 或者: from pandas.core.frame.DataFrame import idxmax [as 別名]
def idxmax(self, axis=None, out=None, skipna=True):
"""
Index of first occurrence of maximum of values.
Parameters
----------
skipna : boolean, default True
Exclude NA/null values
Returns
-------
idxmax : Index of minimum of values
Notes
-----
This method is the Series version of ``ndarray.argmax``.
See Also
--------
DataFrame.idxmax
"""
i = nanops.nanargmax(_values_from_object(self), skipna=skipna)
if i == -1:
return pa.NA
return self.index[i]
# ndarray compat 示例2: idxmax
# 需要導入模塊: from pandas.core.frame import DataFrame [as 別名]
# 或者: from pandas.core.frame.DataFrame import idxmax [as 別名]
def idxmax(self, axis=None, skipna=True, *args, **kwargs):
"""
Index *label* of the first occurrence of maximum of values.
Parameters
----------
skipna : boolean, default True
Exclude NA/null values. If the entire Series is NA, the result
will be NA.
Raises
------
ValueError
* If the Series is empty
Returns
-------
idxmax : Index of maximum of values
Notes
-----
This method is the Series version of ``ndarray.argmax``. This method
returns the label of the maximum, while ``ndarray.argmax`` returns
the position. To get the position, use ``series.values.argmax()``.
See Also
--------
DataFrame.idxmax
numpy.ndarray.argmax
"""
skipna = nv.validate_argmax_with_skipna(skipna, args, kwargs)
i = nanops.nanargmax(_values_from_object(self), skipna=skipna)
if i == -1:
return np.nan
return self.index[i]
# ndarray compat 示例3: idxmax
# 需要導入模塊: from pandas.core.frame import DataFrame [as 別名]
# 或者: from pandas.core.frame.DataFrame import idxmax [as 別名]
def idxmax(self, axis=None, skipna=True, *args, **kwargs):
"""
Index *label* of the first occurrence of maximum of values.
Parameters
----------
skipna : boolean, default True
Exclude NA/null values
Returns
-------
idxmax : Index of maximum of values
Notes
-----
This method is the Series version of ``ndarray.argmax``. This method
returns the label of the maximum, while ``ndarray.argmax`` returns
the position. To get the position, use ``series.values.argmax()``.
See Also
--------
DataFrame.idxmax
numpy.ndarray.argmax
"""
skipna = nv.validate_argmax_with_skipna(skipna, args, kwargs)
i = nanops.nanargmax(_values_from_object(self), skipna=skipna)
if i == -1:
return np.nan
return self.index[i]
# ndarray compat