Python Reference in Data Analysis / Mining Tools

If you are already familiar with the module/package loading methods of Python, the following table is relatively easy to find.

Python is referenced in the following table as a module. Some modules are not native modules. Please use pip install * to install;

Mechine Learning

Category	Subcategory	Python
LDA		sklearn.discriminant_analysis.LinearDiscriminantAnalysis
QDA		sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis
SVM (Support Vector Machine)	Support Vector Classifier (SVC)	sklearn.svm.SVC
	Non-support vector classifier (nonSVC)	sklearn.svm.NuSVC
	Linear Support Vector Classifier (Lenear SVC)	sklearn.svm.LinearSVC
Based on proximity	K-proximity classifier	sklearn.neighbors.KNeighborsClassifier
	Radius proximity classifier	sklearn.neighbors.RadiusNeighborsClassifier
	Nearest Centroid Classifier	sklearn.neighbors.NearestCentroid
Bayes	Naive Bayes	sklearn.naive_bayes.GaussianNB
	Multinomial Naive Bayes	sklearn.naive_bayes.MultinomialNB
	Bernoulli Naive Bayes	sklearn.naive_bayes.BernoulliNB
DecisionTree	DecisionTree Classifier	sklearn.tree.DecisionTreeClassifier
	DecisionTree Regressor	sklearn.tree.DecisionTreeRegressor
Assemble Method	Bagging Random Forest Classifier	sklearn.ensemble.RandomForestClassifier
	Bagging Random Forest Regressor	sklearn.ensemble.RandomForestRegressor
	Boosting Gradient Boosting	xgboost Module
	Boosting AdaBoost	sklearn.ensemble.AdaBoostClassifier
Cluster	kmeans	scipy.cluster.kmeans.kmeans
	Hierarchical Cluster	scipy.cluster.hierarchy.fcluster
	DBSCAN	sklearn.cluster.DBSCAN
	Birch	sklearn.cluster.Birch
	K-Medoids Cluster	pyclust.KMedoids(Unknown reliability)
Association Rule	Apriori Algorithm	apriori(Unknown reliability, not support py3), PyFIM(Unknown reliability, unable to install with pip)
	FP-Growth Algorithm	fp-growth(Unknown reliability, not support py3), PyFIM(Unknown reliability, unable to install with pip)
Neural Network	Neural Network	neurolab.net, keras.*
	Deep Learning	keras.*

Connector & IO

Database

Category	Python
MySQL	mysql-connector-python(Official)
Oracle	cx_Oracle
Redis	redis
MongoDB	pymongo
neo4j	py2neo
Cassandra	cassandra-driver
ODBC	pyodbc
JDBC	Unknown[Jython Only]

IO

Category	Python
excel	xlsxWriter, pandas.(from/to)_excel, openpyxl
csv	csv.writer
json	json
picture	PIL

Statistics

Category	Python
描述性统计汇总	scipy.stats.descirbe
均值	scipy.stats.gmean(几何平均数), scipy.stats.hmean(调和平均数), numpy.mean, numpy.nanmean, pandas.Series.mean
中位数	numpy.median, numpy.nanmediam, pandas.Series.median
众数	scipy.stats.mode, pandas.Series.mode
分位数	numpy.percentile, numpy.nanpercentile, pandas.Series.quantile
经验累积函数(ECDF)	statsmodels.tools.ECDF
标准差	scipy.stats.std, scipy.stats.nanstd, numpy.std, pandas.Series.std
方差	numpy.var, pandas.Series.var
变异系数	scipy.stats.variation
协方差	numpy.cov, pandas.Series.cov
(Pearson)相关系数	scipy.stats.pearsonr, numpy.corrcoef, pandas.Series.corr
峰度	scipy.stats.kurtosis, pandas.Series.kurt
偏度	scipy.stats.skew, pandas.Series.skew
直方图	numpy.histogram, numpy.histogram2d, numpy.histogramdd

Regression (including statistics and machine learning)

类别	Python
普通最小二乘法回归(ols)	statsmodels.ols, sklearn.linear_model.LinearRegression
广义线性回归(gls)	statsmodels.gls
分位数回归(Quantile Regress)	statsmodels.QuantReg
岭回归	sklearn.linear_model.Ridge
LASSO	sklearn.linear_model.Lasso
最小角回归	sklearn.linear_modle.LassoLars
稳健回归	statsmodels.RLM

Hypothetical Test

类别	Python
t检验	statsmodels.stats.ttest_ind, statsmodels.stats.ttost_ind, statsmodels.stats.ttost.paired; scipy.stats.ttest_1samp, scipy.stats.ttest_ind, scipy.stats.ttest_ind_from_stats, scipy.stats.ttest_rel
ks检验(检验分布)	scipy.stats.kstest, scipy.stats.kstest_2samp
wilcoxon(非参检验，差异检验)	scipy.stats.wilcoxon, scipy.stats.mannwhitneyu
Shapiro-Wilk正态性检验	scipy.stats.shapiro
Pearson相关系数检验	scipy.stats.pearsonr

Time series

Category	Python
AR	statsmodels.ar_model.AR
ARIMA	statsmodels.arima_model.arima
VAR	statsmodels.var_model.var