I have a Python projects with many .py scripts. Most of the scripts have a long like of similar import statements. What is the general convention of structuring such imports?
- Would they be repeated in each of the .py files?
- Would they all be listed in a separate file and would that file be imported in each of the .py files?
If it helps, my imports look like these, and there are a few more.
import datetime
import logging
import random
import sys
import os
import operator
import warnings
import json
import numpy as np
import parseJSON
import pandas as pd
from sklearn.svm import SVC
from sklearn import svm
from sklearn import linear_model
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble.forest import RandomForestClassifier
from sklearn.ensemble import BaggingClassifier
from sklearn.multiclass import OneVsRestClassifier
from sklearn.linear_model import SGDClassifier
from sklearn import neighbors
from sklearn.ensemble import RandomForestClassifier
from sklearn import metrics
from sklearn.svm import SVC
from sklearn.naive_bayes import GaussianNB
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis
from sklearn.metrics import accuracy_score
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
from sklearn.preprocessing import LabelEncoder
