这个Python库竟然可以偷懒,和import说再见!

还记得入门Python数据分析时经常会import几个库,下面这几个可谓是入门学习时的四大护法,Python数据处理和可视化常会用的工具。
20191212154622
不知道大家有没有遇到过这样一个问题,每次重新开启一个建模流程或者分析过程时,会重新敲一遍import或者将之前的import代码copy进去。虽然已经用的滚花烂熟了,但是确耗费不必要的时间。
本篇给大家介绍一个可以偷懒的python库:pyforest
20191212154628
看到了吧,开头什么都没import,依然可以正常使用常用库。
 
使用教程:需要安装Python3.6以上的版本,然后终端运行:

pip install pyforest

链接:https://github.com/8080labs/pyforest
导入教程:
非常简单!!!
一行代码就可以解决。

from pyforest import *

如果使用Jupyter或IPython,甚至可以跳过此行,因为pyforest会将其自身添加到自动启动中。
而且,完成脚本后,可以通过以下方式导出所有导入语句:

active_imports()

通过这个指令,我们就可以看到脚本所涉及到的全部已经被我省略的库。
好了,你可能会问,如果需要的库不在pyforest中怎么办?
首先,pyforest支持大部分流行的数据科学库,比如pandas、numpy、matplotlib、seaborn、sklearn、tensorflow等等,以及常用的辅助库如os、sys、re、pickle等。
 

### Data Wrangling
pd = LazyImport(“import pandas as pd”)
np = LazyImport(“import numpy as np”)
dd = LazyImport(“from dask import dataframe as dd”)
SparkContext = LazyImport(“from pyspark import SparkContext”)
load_workbook = LazyImport(“from openpyxl import load_workbook”)
### Data Visualization and Plotting
mpl = LazyImport(“import matplotlib as mpl”)
plt = LazyImport(“import matplotlib.pyplot as plt”)
sns = LazyImport(“import seaborn as sns”)
py = LazyImport(“import plotly as py”)
go = LazyImport(“import plotly.graph_objs as go”)
px = LazyImport(“import plotly.express as px”)
dash = LazyImport(“import dash”)
bokeh = LazyImport(“import bokeh”)
alt = LazyImport(“import altair as alt”)
pydot = LazyImport(“import pydot”)
# statistics
statistics = LazyImport(“import statistics”)
### Machine Learning
sklearn = LazyImport(“import sklearn”)
OneHotEncoder = LazyImport(“from sklearn.preprocessing import OneHotEncoder”)
TSNE = LazyImport(“from sklearn.manifold import TSNE”)
train_test_split = LazyImport(“from sklearn.model_selection import train_test_split”)
svm = LazyImport(“from sklearn import svm”)
GradientBoostingClassifier = LazyImport(
“from sklearn.ensemble import GradientBoostingClassifier”
)
GradientBoostingRegressor = LazyImport(
“from sklearn.ensemble import GradientBoostingRegressor”
)
RandomForestClassifier = LazyImport(
“from sklearn.ensemble import RandomForestClassifier”
)
RandomForestRegressor = LazyImport(“from sklearn.ensemble import RandomForestRegressor”)
TfidfVectorizer = LazyImport(
“from sklearn.feature_extraction.text import TfidfVectorizer”
)
# TODO: add all the other most important sklearn objects
# TODO: add separate sections within machine learning viz. Classification, Regression, Error Functions, Clustering
# Deep Learning
tf = LazyImport(“import tensorflow as tf”)
keras = LazyImport(“import keras”)
# NLP
nltk = LazyImport(“import nltk”)
gensim = LazyImport(“import gensim”)
spacy = LazyImport(“import spacy”)
re = LazyImport(“import re”)
### Helper
sys = LazyImport(“import sys”)
os = LazyImport(“import os”)
re = LazyImport(“import re”)
glob = LazyImport(“import glob”)
Path = LazyImport(“from pathlib import Path”)
pickle = LazyImport(“import pickle”)
dt = LazyImport(“import datetime as dt”)
tqdm = LazyImport(“import tqdm”)

其次,如果真的没有也没关系,pyforest支持向其中添加库。操作方法也很简单,找到pyforest库的user_imports.py文件,然后添加一个语句就好了,比如像下面这样:

#############################
### User-specific imports ###
#############################
# You can save your own imports in ~/.pyforest/user_imports.py
# Please note: imports in ~/.pyforest/user_imports.py take precedence over the
# imports above.

所以我们可以根据平时自己的使用习惯添加一套属于自己的万能import,爽歪歪了。
有的同学可能还会问,所有的库添加进入运行速度会不会变慢?
答案是不会,因为只有你后面真正使用了到了pyforest里的包含的库,程序才会真正import,否则不会。
以上就是偷懒神器的介绍和使用方法,抓紧试试吧。

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