本文整理汇总了Python中pandas.core.frame.DataFrame.round方法的典型用法代码示例。如果您正苦于以下问题：Python DataFrame.round方法的具体用法？Python DataFrame.round怎么用？Python DataFrame.round使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandas.core.frame.DataFrame的用法示例。
在下文中一共展示了DataFrame.round方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: round
# 需要导入模块: from pandas.core.frame import DataFrame [as 别名]
# 或者: from pandas.core.frame.DataFrame import round [as 别名]
def round(self, decimals=0, *args, **kwargs):
"""
Round each value in a Series to the given number of decimals.
Parameters
----------
decimals : int
Number of decimal places to round to (default: 0).
If decimals is negative, it specifies the number of
positions to the left of the decimal point.
Returns
-------
Series object
See Also
--------
numpy.around
DataFrame.round
"""
nv.validate_round(args, kwargs)
result = com.values_from_object(self).round(decimals)
result = self._constructor(result, index=self.index).__finalize__(self)
return result 示例2: round
# 需要导入模块: from pandas.core.frame import DataFrame [as 别名]
# 或者: from pandas.core.frame.DataFrame import round [as 别名]
def round(self, decimals=0, *args, **kwargs):
"""
Round each value in a Series to the given number of decimals.
Parameters
----------
decimals : int
Number of decimal places to round to (default: 0).
If decimals is negative, it specifies the number of
positions to the left of the decimal point.
Returns
-------
Series object
See Also
--------
numpy.around
DataFrame.round
"""
nv.validate_round(args, kwargs)
result = com._values_from_object(self).round(decimals)
result = self._constructor(result, index=self.index).__finalize__(self)
return result 示例3: round
# 需要导入模块: from pandas.core.frame import DataFrame [as 别名]
# 或者: from pandas.core.frame.DataFrame import round [as 别名]
def round(self, decimals=0, *args, **kwargs):
"""
Round each value in a Series to the given number of decimals.
Parameters
----------
decimals : int
Number of decimal places to round to (default: 0).
If decimals is negative, it specifies the number of
positions to the left of the decimal point.
Returns
-------
Series object
See Also
--------
numpy.around
DataFrame.round
"""
nv.validate_round(args, kwargs)
result = _values_from_object(self).round(decimals)
result = self._constructor(result, index=self.index).__finalize__(self)
return result 示例4: corr
# 需要导入模块: from pandas.core.frame import DataFrame [as 别名]
# 或者: from pandas.core.frame.DataFrame import round [as 别名]
def corr(self, other, method='pearson', min_periods=None):
"""
Compute correlation with `other` Series, excluding missing values.
Parameters
----------
other : Series
method : {'pearson', 'kendall', 'spearman'} or callable
* pearson : standard correlation coefficient
* kendall : Kendall Tau correlation coefficient
* spearman : Spearman rank correlation
* callable: callable with input two 1d ndarray
and returning a float
.. versionadded:: 0.24.0
min_periods : int, optional
Minimum number of observations needed to have a valid result
Returns
-------
correlation : float
Examples
--------
>>> histogram_intersection = lambda a, b: np.minimum(a, b
... ).sum().round(decimals=1)
>>> s1 = pd.Series([.2, .0, .6, .2])
>>> s2 = pd.Series([.3, .6, .0, .1])
>>> s1.corr(s2, method=histogram_intersection)
0.3
"""
this, other = self.align(other, join='inner', copy=False)
if len(this) == 0:
return np.nan
if method in ['pearson', 'spearman', 'kendall'] or callable(method):
return nanops.nancorr(this.values, other.values, method=method,
min_periods=min_periods)
raise ValueError("method must be either 'pearson', "
"'spearman', or 'kendall', '{method}' "
"was supplied".format(method=method))