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Title: GitHub - ChanMenglin/DataScience: Data-Science(数据科学)

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Description: Data-Science(数据科学). Contribute to ChanMenglin/DataScience development by creating an account on GitHub.

Open Graph Description: Data-Science(数据科学). Contribute to ChanMenglin/DataScience development by creating an account on GitHub.

X Description: Data-Science(数据科学). Contribute to ChanMenglin/DataScience development by creating an account on GitHub.

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https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#数据科学data-science
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https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#目录contents
1. 环境搭建https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#1-%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA
2. NumPy 入门https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#2-numpy-%E5%85%A5%E9%97%A8
2.1 NumPy 中创建数组及访问数组的元素https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#21-numpy-%E4%B8%AD%E5%88%9B%E5%BB%BA%E6%95%B0%E7%BB%84%E5%8F%8A%E8%AE%BF%E9%97%AE%E6%95%B0%E7%BB%84%E7%9A%84%E5%85%83%E7%B4%A0
2.1.1 创建数组https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#211-%E5%88%9B%E5%BB%BA%E6%95%B0%E7%BB%84
2.1.2 访问数组元素https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#212-%E8%AE%BF%E9%97%AE%E6%95%B0%E7%BB%84%E5%85%83%E7%B4%A0
2.1.3 创建矩阵https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#213-%E5%88%9B%E5%BB%BA%E7%9F%A9%E9%98%B5
2.2 数组和矩阵运算https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#22-%E6%95%B0%E7%BB%84%E5%92%8C%E7%9F%A9%E9%98%B5%E8%BF%90%E7%AE%97
2.2.1 数组的运算https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#221-%E6%95%B0%E7%BB%84%E7%9A%84%E8%BF%90%E7%AE%97
2.2.2 矩阵的运算https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#222-%E7%9F%A9%E9%98%B5%E7%9A%84%E8%BF%90%E7%AE%97
2.3 Array 的 input 和 outputhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#23-array-%E7%9A%84-input-%E5%92%8C-output
2.3.1 使用 pickle 序列化 numpy arrayhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#231-%E4%BD%BF%E7%94%A8-pickle-%E5%BA%8F%E5%88%97%E5%8C%96-numpy-array
2.3.2 使用 numpy 序列化 numpy arrayhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#232-%E4%BD%BF%E7%94%A8-numpy-%E5%BA%8F%E5%88%97%E5%8C%96-numpy-array
3. pandas 入门https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#3-pandas-%E5%85%A5%E9%97%A8
3.1 pandas 中的 Serieshttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#31-pandas-%E4%B8%AD%E7%9A%84-series
3.1.1 创建 Serieshttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#311-%E5%88%9B%E5%BB%BA-series
3.1.2 Series 操作https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#312-series-%E6%93%8D%E4%BD%9C
3.2 pandas 中的 DataFramehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#32-pandas-%E4%B8%AD%E7%9A%84-dataframe
3.2.1 创建 DataFramehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#321-%E5%88%9B%E5%BB%BA-dataframe
3.2.2 DataFrame 操作https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#322-dataframe-%E6%93%8D%E4%BD%9C
3.3 深入理解 Series 和 DataFramehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#33-%E6%B7%B1%E5%85%A5%E7%90%86%E8%A7%A3-series-%E5%92%8C-dataframe
3.4 DataFrame IOhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#34-dataframe-io
3.5 DataFrame(Selecting 和 Indexing)https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#35-dataframeselecting-%E5%92%8C-indexing
3.6 Reindexing Series 和 DataFramehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#36-reindexing-series-%E5%92%8C-dataframe
3.7 Mapping 和 Replacehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#37-mapping-%E5%92%8C-replace
3.8 NaN - Not a Numberhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#38-nan---not-a-number
3.9 多级 indexhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#39-%E5%A4%9A%E7%BA%A7-index
4. pandas 玩转数据https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#4-pandas-%E7%8E%A9%E8%BD%AC%E6%95%B0%E6%8D%AE
4.1 Series 和 DataFrame 的简单数学运算https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#41-series-%E5%92%8C-dataframe-%E7%9A%84%E7%AE%80%E5%8D%95%E6%95%B0%E5%AD%A6%E8%BF%90%E7%AE%97
4.1.1 Series 的数学运算https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#411-series-%E7%9A%84%E6%95%B0%E5%AD%A6%E8%BF%90%E7%AE%97
4.1.2 DataFrame 的数学运算https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#412-dataframe-%E7%9A%84%E6%95%B0%E5%AD%A6%E8%BF%90%E7%AE%97
4.2 Series 和 DataFrame 的排序https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#42-series-%E5%92%8C-dataframe-%E7%9A%84%E6%8E%92%E5%BA%8F
4.3 重命名 DataFrame 的 indexhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#43-%E9%87%8D%E5%91%BD%E5%90%8D-dataframe-%E7%9A%84-index
4.4 DataFrame 的 merge 操作https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#44-dataframe-%E7%9A%84-merge-%E6%93%8D%E4%BD%9C
4.5 Concatenate 和 Combinehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#45-concatenate-%E5%92%8C-combine
4.5.1 Concatenatehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#451-concatenate
4.5.2 Concathttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#452-concat
4.5.3 Combinehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#453-combine
4.6 时间序列的操作基础https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#46-%E6%97%B6%E9%97%B4%E5%BA%8F%E5%88%97%E7%9A%84%E6%93%8D%E4%BD%9C%E5%9F%BA%E7%A1%80
4.7 其他方法https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#47-%E5%85%B6%E4%BB%96%E6%96%B9%E6%B3%95
4.7.1 数据处理https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#471-%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86
4.7.2 数据清洗https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#472-%E6%95%B0%E6%8D%AE%E6%B8%85%E6%B4%97
5. 绘图与可视化-MatPlotLibhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#5-%E7%BB%98%E5%9B%BE%E4%B8%8E%E5%8F%AF%E8%A7%86%E5%8C%96-matplotlib
5.1 MatPlotLib-线性图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#51-matplotlib-%E7%BA%BF%E6%80%A7%E5%9B%BE
5.2 MatPlotLib-直方图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#52-matplotlib-%E7%9B%B4%E6%96%B9%E5%9B%BE
5.3 MatPlotLib-密度图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#53-matplotlib-%E5%AF%86%E5%BA%A6%E5%9B%BE
5.4 pandas 的 Series 绘图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#54-pandas-%E7%9A%84-series-%E7%BB%98%E5%9B%BE
5.5 pandas 的 DataFrame 绘图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#55-pandas-%E7%9A%84-dataframe-%E7%BB%98%E5%9B%BE
6. 绘图与可视化-SeaBornhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#6-%E7%BB%98%E5%9B%BE%E4%B8%8E%E5%8F%AF%E8%A7%86%E5%8C%96-seaborn
6.1 Seaborn-直方图和密度图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#61-seaborn-%E7%9B%B4%E6%96%B9%E5%9B%BE%E5%92%8C%E5%AF%86%E5%BA%A6%E5%9B%BE
6.2 Seaborn-柱状图和热力图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#62-seaborn-%E6%9F%B1%E7%8A%B6%E5%9B%BE%E5%92%8C%E7%83%AD%E5%8A%9B%E5%9B%BE
6.3 Seaborn-设置图形显示的效果https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#63-seaborn-%E8%AE%BE%E7%BD%AE%E5%9B%BE%E5%BD%A2%E6%98%BE%E7%A4%BA%E7%9A%84%E6%95%88%E6%9E%9C
6.4 Seaborn-强大的调色功能https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#64-seaborn-%E5%BC%BA%E5%A4%A7%E7%9A%84%E8%B0%83%E8%89%B2%E5%8A%9F%E8%83%BD
7. 数据分析项目实战https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#7-%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E9%A1%B9%E7%9B%AE%E5%AE%9E%E6%88%98
附录https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#%E9%99%84%E5%BD%95
1. 数据可续领域5个组建 Python 库https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#1-%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E9%A2%86%E5%9F%9F5%E4%B8%AA%E7%BB%84%E5%BB%BA-python-%E5%BA%93
2. 数学基础-矩阵运算https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#2-%E6%95%B0%E5%AD%A6%E5%9F%BA%E7%A1%80-%E7%9F%A9%E9%98%B5%E8%BF%90%E7%AE%97
3. 工具使用 Jupyter Notebookhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience#3-%E5%B7%A5%E5%85%B7%E4%BD%BF%E7%94%A8-jupyter-notebook
4. 数据可视化工具https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#4-%E6%95%B0%E6%8D%AE%E5%8F%AF%E8%A7%86%E5%8C%96%E5%B7%A5%E5%85%B7
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#1-环境搭建
Anacondahttps://www.anaconda.com/download/#macos
搭建开发环境，跨平台原理http://sa.mentorx.net/course/54/task/321/show
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#2-numpy-入门
NumPy Docshttps://docs.scipy.org/doc/numpy/user/quickstart.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#21-numpy-中创建数组及访问数组的元素
NumPy 中创建数组及访问数组的元素https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/1-NumPy/NumPy%E4%B8%AD%E5%88%9B%E5%BB%BA%E6%95%B0%E7%BB%84%E5%8F%8A%E8%AE%BF%E9%97%AE%E6%95%B0%E7%BB%84%E7%9A%84%E5%85%83%E7%B4%A0.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#211-创建数组
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#212-访问数组元素
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#213-创建矩阵
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#22-数组和矩阵运算
数组和矩阵运算https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/1-NumPy/%E6%95%B0%E7%BB%84%E5%92%8C%E7%9F%A9%E9%98%B5%E8%BF%90%E7%AE%97.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#221-数组的运算
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#222-矩阵的运算
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#23-array-的-input-和-output
Array 的 input 和 outputhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/1-NumPy/Array%E7%9A%84input%E5%92%8Coutput.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#231-使用-pickle-序列化-numpy-array
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#232-使用-numpy-序列化-numpy-array
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#3-pandas-入门
pandas APIhttps://pandas.pydata.org/pandas-docs/stable/api.html
Serieshttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.html#pandas.Series
DataFramehttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html#pandas.DataFrame
PandasVersusExcel(Python)https://chanmenglin.github.io/PandasVersusExcel/
Githubhttps://github.com/ChanMenglin/PandasVersusExcel
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#31-pandas-中的-series
pandas 中的 Serieshttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/2-pandas/pandas%E4%B8%AD%E7%9A%84Series.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#311-创建-series
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#312-series-操作
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#32-pandas-中的-dataframe
pandas 中的 DataFramehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/2-pandas/pandas%E4%B8%AD%E7%9A%84DataFrame.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#321-创建-dataframe
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#322-dataframe-操作
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#33-深入理解-series-和-dataframe
深入理解 Series 和 DataFramehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/2-pandas/%E6%B7%B1%E5%85%A5%E7%90%86%E8%A7%A3Series%E5%92%8CDataFrame.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#34-dataframe-io
官方文档http://pandas.pydata.org/pandas-docs/stable/io.html
PandasVersusExcel(Python)https://chanmenglin.github.io/PandasVersusExcel/
2 - 读取文件https://github.com/ChanMenglin/PandasVersusExcel/blob/master/2-ReadExcel/ReadExcel.py
22 - 读取CSV、TSV、TXT文件中的数据https://github.com/ChanMenglin/PandasVersusExcel/blob/master/22-ReadData/ReadData.py
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#35-dataframeselecting-和-indexing
官方文档http://pandas.pydata.org/pandas-docs/stable/indexing.html
PandasVersusExcel(Python)https://chanmenglin.github.io/PandasVersusExcel/
3 - 行、列、单元格https://github.com/ChanMenglin/PandasVersusExcel/blob/master/3-Rows&Clumns&Cell/Rows&Clumns&Cell.py
4&5 - 数据区域的读取，填充整数、文字,填充日期序列https://github.com/ChanMenglin/PandasVersusExcel/blob/master/4%265-ReadData&BaseInput/ReadData&BaseInput.py
27 - 行操作集锦https://github.com/ChanMenglin/PandasVersusExcel/blob/master/27-RowOperation/RowOperation.py
28 - 列操作集锦https://github.com/ChanMenglin/PandasVersusExcel/blob/master/28-ColOperation/ColOperation.py
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#36-reindexing-series-和-dataframe
Reindexing Series&DataFramehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/2-pandas/ReindexingSeriesDataFrame.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#37-mapping-和-replace
Mapping&Replacehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/2-pandas/MappingReplace.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#38-nan---not-a-number
Not a Numberhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/2-pandas/NaN.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#39-多级-index
多级 indexhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/2-pandas/%E5%A4%9A%E7%BA%A7index.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#4-pandas-玩转数据
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#41-series-和-dataframe-的简单数学运算
Series 和 DataFrame 的简单数学运算https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/3-pandas%E7%8E%A9%E8%BD%AC%E6%95%B0%E6%8D%AE/1-Series%E5%92%8CDataFrame%E7%9A%84%E7%AE%80%E5%8D%95%E6%95%B0%E5%AD%A6%E8%BF%90%E7%AE%97.ipynb
数学运算http://pandas.pydata.org/pandas-docs/stable/api.html#computations-descriptive-stats
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#411-series-的数学运算
数学运算https://pandas.pydata.org/pandas-docs/stable/api.html#computations-descriptive-stats
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#412-dataframe-的数学运算
sum()https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.sum.html
min()https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.min.html
max()https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.max.html
describe()https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#42-series-和-dataframe-的排序
Series 和 DataFrame 的排序https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/3-pandas%E7%8E%A9%E8%BD%AC%E6%95%B0%E6%8D%AE/2-Series%E5%92%8CDataFrame%E7%9A%84%E6%8E%92%E5%BA%8F.ipynb
Series Reshaping, sorting(重塑和排序)https://pandas.pydata.org/pandas-docs/stable/api.html#reshaping-sorting
DataFrame Reshaping, sorting, transposing((重塑\排序\变换))https://pandas.pydata.org/pandas-docs/stable/api.html#reshaping-sorting-transposing
s.sort_values()https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sort_values.html
s.sort_index()https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sort_index.html#pandas.Series.sort_index
df.sort_values('A')https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.sort_values.html
df.sort_index()https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.sort_index.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#43-重命名-dataframe-的-index
重命名 DataFrame 的 indexhttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/3-pandas%E7%8E%A9%E8%BD%AC%E6%95%B0%E6%8D%AE/3-%E9%87%8D%E5%91%BD%E5%90%8DDataFrame%E7%9A%84index.ipynb
map()http://book.pythontips.com/en/latest/map_filter.html#map
mergehttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.merge.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#44-dataframe-的-merge-操作
DataFrame 的 merge 操作https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/3-pandas%E7%8E%A9%E8%BD%AC%E6%95%B0%E6%8D%AE/4-DataFrame%E7%9A%84merge%E6%93%8D%E4%BD%9C.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#45-concatenate-和-combine
Concatenate 和 Combinehttps://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/3-pandas%E7%8E%A9%E8%BD%AC%E6%95%B0%E6%8D%AE/5-Concatenate%E5%92%8CCombine.ipynb
concatenatehttps://docs.scipy.org/doc/numpy/reference/generated/numpy.concatenate.html
Merge, join, and concatenatehttps://pandas.pydata.org/pandas-docs/stable/merging.html
concathttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.concat.html#pandas.concat
Series.str.cathttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.str.cat.html#pandas.Series.str.cat
Series.combine_firsthttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.combine_first.html
DataFrame.combine_firsthttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.combine_first.html#pandas-dataframe-combine-first
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#451-concatenate
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#452-concat
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#453-combine
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#46-时间序列的操作基础
时间序列的操作基础https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/3-pandas%E7%8E%A9%E8%BD%AC%E6%95%B0%E6%8D%AE/6-%E6%97%B6%E9%97%B4%E5%BA%8F%E5%88%97%E7%9A%84%E6%93%8D%E4%BD%9C%E5%9F%BA%E7%A1%80.ipynb
Python datetimehttps://docs.python.org/2/library/datetime.html
pandas datetimehttps://pandas.pydata.org/pandas-docs/stable/api.html#datetimeindex
pandas.to_datetimehttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.to_datetime.html
Series datetimehttps://pandas.pydata.org/pandas-docs/stable/api.html#datetimelike-properties
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#47-其他方法
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#471-数据处理
Series.applyhttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.apply.html
DataFrame.applyhttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.apply.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#472-数据清洗
Data manipulationshttps://pandas.pydata.org/pandas-docs/stable/api.html#data-manipulations
Series.duplicatedhttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.duplicated.html
Series.drop_duplicatedhttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.duplicated.html
DataFrame.duplicateshttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.duplicated.html
DataFrame.drop_duplicateshttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop_duplicates.html
cuthttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.cut.html
GroupByhttps://pandas.pydata.org/pandas-docs/stable/api.html#groupby
Series.groupbyhttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.groupby.html
DataFrame.grouphttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.groupby.html
Series.agghttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.agg.html
Series.aggregatehttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.aggregate.html
DataFrame.agghttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.agg.html
DataFrame.aggregatehttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.aggregate.html
pivot_tablehttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.pivot_table.html
DataFrame.pivot_tablehttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.pivot_table.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#5-绘图与可视化-matplotlib
官方文档https://matplotlib.org/gallery/index.html
官网https://matplotlib.org/index.html
examplehttps://matplotlib.org/gallery/index.html
Matplotlib PDFhttps://matplotlib.org/Matplotlib.pdf
Matlotlib Tutorialshttps://pythonspot.com/matplotlib/
PandasVersusExcel(Python)https://chanmenglin.github.io/PandasVersusExcel/
Githubhttps://github.com/ChanMenglin/PandasVersusExcel
9 - 柱状图https://github.com/ChanMenglin/PandasVersusExcel/blob/master/9-Histogram/Histogram.py
10 - 绘制分组柱图，深度优化图表https://github.com/ChanMenglin/PandasVersusExcel/blob/master/10-GroupedHistogran&DepthOptimizationChart/GroupedHistogran&DepthOptimizationChart.py
11 - 绘制分组柱图，深度优化图表https://github.com/ChanMenglin/PandasVersusExcel/blob/master/11-SuperimposedHistogram&HorizontalHistogram/SuperimposedHistogram&HorizontalHistogram.py
12 - 绘制饼图https://github.com/ChanMenglin/PandasVersusExcel/blob/master/12-PieChart/PieChart.py
13 - 绘制折线趋势图、叠加区域图https://github.com/ChanMenglin/PandasVersusExcel/blob/master/13-PolylineTrendChart&OverlayAreaMap/PolylineTrendChart&OverlayAreaMap.py
14%15 - 散点图，直方图，密度图,密度图，数据相关性https://github.com/ChanMenglin/PandasVersusExcel/blob/master/14%2615-ScatterPlot&Histogram&DensityMap/ScatterPlot&Histogram&DensityMap.py
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#51-matplotlib-线性图
MatPlotLib-线性图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/1-MatPlotLib-%E7%BA%BF%E6%80%A7%E5%9B%BE.ipynb
plothttps://matplotlib.org/api/pyplot_api.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/1-1.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/1-2.png
subplot - 子图https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplot.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/1-3.png
subplots - 子图https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplots.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/1-4.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#52-matplotlib-直方图
MatPlotLib-直方图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/4-MatPlotLib-%E7%9B%B4%E6%96%B9%E5%9B%BE.ipynb
histhttps://matplotlib.org/api/_as_gen/matplotlib.pyplot.hist.html
Matplotlib Histogramhttps://pythonspot.com/matplotlib-histogram/
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/2-1.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#53-matplotlib-密度图
MatPlotLib-密度图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/5-MatPlotLib-%E5%AF%86%E5%BA%A6%E5%9B%BE.ipynb
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/3-1.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#54-pandas-的-series-绘图
pandas 的 Series 绘图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/2-pandas%E4%B9%8BSeries%E7%BB%98%E5%9B%BE.ipynb
Series plottinghttps://pandas.pydata.org/pandas-docs/stable/api.html#plotting
Series.plothttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.plot.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/4-1.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/4-2.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/4-3.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/4-4.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#55-pandas-的-dataframe-绘图
pandas 的 DataFrame 绘图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/3-pandas%E4%B9%8BDataFrame%E7%BB%98%E5%9B%BE.ipynb
DataFrame plottinghttps://pandas.pydata.org/pandas-docs/stable/api.html#api-dataframe-plotting
DataFrame.plothttps://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/5-1.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/5-2.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/5-3.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/4-MatPlotLib/img/5-4.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#6-绘图与可视化-seaborn
官网http://seaborn.pydata.org
examplehttp://seaborn.pydata.org/examples/index.html
APIhttp://seaborn.pydata.org/api.html#
教程http://seaborn.pydata.org/tutorial.html#
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#61-seaborn-直方图和密度图
Seaborn-直方图和密度图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/1-Seaborn-%E7%9B%B4%E6%96%B9%E5%9B%BE%E5%92%8C%E5%AF%86%E5%BA%A6%E5%9B%BE.ipynb
seaborn.distplothttp://seaborn.pydata.org/generated/seaborn.distplot.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/img/1-1.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/img/1-2.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/img/1-3.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/img/1-4.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#62-seaborn-柱状图和热力图
Seaborn-柱状图和热力图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/2-Seaborn-%E6%9F%B1%E7%8A%B6%E5%9B%BE%E5%92%8C%E7%83%AD%E5%8A%9B%E5%9B%BE.ipynb
seaborn.heatmaphttps://seaborn.pydata.org/generated/seaborn.heatmap.html
load_datasethttps://seaborn.pydata.org/generated/seaborn.load_dataset.html
seaborn-datahttps://github.com/mwaskom/seaborn-data
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/img/2-1.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/img/2-2.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/img/2-3.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/img/2-4.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#63-seaborn-设置图形显示的效果
Seaborn-设置图形显示的效果https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/3-Seaborn-%E8%AE%BE%E7%BD%AE%E5%9B%BE%E5%BD%A2%E6%98%BE%E7%A4%BA%E7%9A%84%E6%95%88%E6%9E%9C.ipynb
Style controlhttp://seaborn.pydata.org/api.html#style-control
seaborn.set_stylehttp://seaborn.pydata.org/generated/seaborn.set_style.html
seaborn.axes_stylehttp://seaborn.pydata.org/generated/seaborn.axes_style.html#seaborn.axes_style
seaborn.set_contexthttp://seaborn.pydata.org/generated/seaborn.set_context.html
seaborn.plotting_contexthttp://seaborn.pydata.org/generated/seaborn.plotting_context.html#seaborn.plotting_context
seaborn.sethttp://seaborn.pydata.org/generated/seaborn.set.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#64-seaborn-强大的调色功能
Seaborn-强大的调色功能https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/4-Seaborn-%E5%BC%BA%E5%A4%A7%E7%9A%84%E8%B0%83%E8%89%B2%E5%8A%9F%E8%83%BD.ipynb
Color paletteshttp://seaborn.pydata.org/api.html#color-palettes
Choosing color paletteshttps://seaborn.pydata.org/tutorial/color_palettes.html
seaborn.color_palettehttps://seaborn.pydata.org/generated/seaborn.color_palette.html
seaborn.set_palettehttp://seaborn.pydata.org/generated/seaborn.set_palette.html
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/5-Seaborn/img/4-1.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#7-数据分析项目实战
数据分析和挖掘有哪些公开的数据来源？ - 知乎https://www.zhihu.com/question/19969760
pandas-datareaderhttps://pandas-datareader.readthedocs.io/en/latest/
实战https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/Code/6-%E5%AE%9E%E6%88%98
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#附录
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#1-数据科学领域5个组建-python-库
NumPyhttp://www.numpy.org
Matlabhttps://ww2.mathworks.cn/products/matlab.html
SciPyhttps://www.scipy.org
线性代数https://zh.wikipedia.org/wiki/%E7%BA%BF%E6%80%A7%E4%BB%A3%E6%95%B0
傅里叶变换https://zh.wikipedia.org/wiki/%E5%82%85%E9%87%8C%E5%8F%B6%E5%8F%98%E6%8D%A2
pandashttps://pandas.pydata.org
MatPlotLibhttps://matplotlib.org
SciKit-learnhttp://scikit-learn.org/
聚类https://zh.wikipedia.org/wiki/%E8%81%9A%E7%B1%BB%E5%88%86%E6%9E%90
回归https://zh.wikipedia.org/wiki/%E8%BF%B4%E6%AD%B8%E5%88%86%E6%9E%90
矩阵运算https://zh.wikipedia.org/wiki/%E7%9F%A9%E9%98%B5
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#2-数学基础-矩阵运算
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#21-基本概念
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#22-特殊的矩阵
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/img/JZ01.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#23-矩阵的加减运算
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/img/JZ02.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#24-数组的乘法点乘
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/img/JZ03.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#矩阵的乘法
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/img/JZ04.png
http://bs.szu.edu.cn/sljr/Up/day_110824/201108240409437707.pdfhttp://bs.szu.edu.cn/sljr/Up/day_110824/201108240409437707.pdf
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#3-工具使用-jupyter-notebook
Jupyter 官网https://jupyter.org
Docshttps://jupyter-notebook.readthedocs.io/en/stable/
nbviewerhttps://nbviewer.jupyter.org
Jupyter Magic functionshttps://www.dummies.com/programming/python/common-jupyter-notebook-magic-functions/
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#4-数据可视化工具
下载高清大图https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/img/%E6%95%B0%E6%8D%AE%E5%8F%AF%E8%A7%86%E5%8C%96%E5%B7%A5%E5%85%B7.png
https://patch-diff.githubusercontent.com/ChanMenglin/DataScience/blob/master/img/%E6%95%B0%E6%8D%AE%E5%8F%AF%E8%A7%86%E5%8C%96%E5%B7%A5%E5%85%B7.jpg
chanmenglin.github.io/DataScience/https://chanmenglin.github.io/DataScience/
python https://patch-diff.githubusercontent.com/topics/python
charts https://patch-diff.githubusercontent.com/topics/charts
data-science https://patch-diff.githubusercontent.com/topics/data-science
jupyter https://patch-diff.githubusercontent.com/topics/jupyter
anaconda https://patch-diff.githubusercontent.com/topics/anaconda
numpy https://patch-diff.githubusercontent.com/topics/numpy
pandas-dataframe https://patch-diff.githubusercontent.com/topics/pandas-dataframe
scikit-learn https://patch-diff.githubusercontent.com/topics/scikit-learn
data-frame https://patch-diff.githubusercontent.com/topics/data-frame
pandas https://patch-diff.githubusercontent.com/topics/pandas
seaborn https://patch-diff.githubusercontent.com/topics/seaborn
ipynb https://patch-diff.githubusercontent.com/topics/ipynb
data-analysis https://patch-diff.githubusercontent.com/topics/data-analysis
matplotlib https://patch-diff.githubusercontent.com/topics/matplotlib
pandas-series https://patch-diff.githubusercontent.com/topics/pandas-series
series-dataframe https://patch-diff.githubusercontent.com/topics/series-dataframe
data-view https://patch-diff.githubusercontent.com/topics/data-view
data-charts https://patch-diff.githubusercontent.com/topics/data-charts
Readme https://patch-diff.githubusercontent.com/ChanMenglin/DataScience#readme-ov-file
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