Python之sklearn-pandas：sklearn-pandas库函数的简介、安装、使用方法之详细攻略

我就是我 2022-12-17 14:51 292阅读 0赞

**目录**

sklearn-pandas库函数的简介

sklearn-pandas库函数的安装

sklearn-pandas库函数的使用方法

1、基础用法

2、案例应用

--------------------

# sklearn-pandas库函数的简介 #

sklearn-pandas模块提供了Scikit-Learn的机器学习方法和pandas风格的数据框架之间的桥梁。特别是，它提供了一种将DataFrame列映射到转换的方法，这些转换稍后将被重新组合为特性。

# sklearn-pandas库函数的安装 #

pip install sklearn-pandas  
pip install --user -i https://pypi.tuna.tsinghua.edu.cn/simple sklearn-pandas

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQxMTg1ODY4_size_16_color_FFFFFF_t_70][]

# sklearn-pandas库函数的使用方法 #

## 1、基础用法 ##

>>> from sklearn_pandas import DataFrameMapper
    >>> import pandas as pd
    >>> import numpy as np
    >>> import sklearn.preprocessing, sklearn.decomposition, \
    ...     sklearn.linear_model, sklearn.pipeline, sklearn.metrics
    >>> from sklearn.feature_extraction.text import CountVectorizer
    
    >>> mapper = DataFrameMapper([
    ...     ('pet', sklearn.preprocessing.LabelBinarizer()),
    ...     (['children'], sklearn.preprocessing.StandardScaler())
    ... ])

## 2、案例应用 ##

>>> from sklearn.base import TransformerMixin
    >>> class DateEncoder(TransformerMixin):
    ...    def fit(self, X, y=None):
    ...        return self
    ...
    ...    def transform(self, X):
    ...        dt = X.dt
    ...        return pd.concat([dt.year, dt.month, dt.day], axis=1)
    >>> dates_df = pd.DataFrame(
    ...     {'dates': pd.date_range('2015-10-30', '2015-11-02')})
    >>> mapper_dates = DataFrameMapper([
    ...     ('dates', DateEncoder())
    ... ], input_df=True)
    >>> mapper_dates.fit_transform(dates_df)
    array([[2015,   10,   30],
           [2015,   10,   31],
           [2015,   11,    1],
           [2015,   11,    2]])

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