你是不是经常遇到以下情况，导入很多很多的包，甚至还有包的名称记不得，有没有什么好的办法一键导入呢？

告诉你，代码人的特点就是将复杂的东西简单化，所以福音来了！

比如下面这么多需要导入：

import pandas as pd
from pyspark import SparkContext
from openpyxl import load_workbook
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.linear_model import LinearRegression

尤其最后一个记不住，我们可以使用pyforest，只需要import pyforest一行代码即可导入所有依赖的python包（注意：机器上已安装过的），

首先需要pyforest安装

支持Python 3.6+之后的版本。在Anaconda下的anaconda prompt下输入如下命令：

pip install --upgrade pyforest -i https://pypi.tuna.tsinghua.edu.cn/simple

一键导入pyforest使用

以使用seaborn可视化为例。你会发现执行下面的带不会报错！

#第1步：导入依赖包
import pyforest

#第2步：设置绘图风格、文本字体
sns.set_theme()
mpl.rcParams['font.family'] = 'Songti SC'

#第3步：数据读取
tips = pd.read_csv('./sns_data/tips.csv')  

pyforest支持哪些包

pyforest覆盖99%以上主流Python Data Science libraries例如，import pandas as pd，import numpy as np，import matplotlib.pyplot as plt, from sklearn.linear_model import LinearRegression等等。

注意：pyforest中导入的包遵循python社区默认的简称，如pandas>pd、seaborn>sns、matplotlib.pyplot>plt等等。

具体支持哪些包，可通过dir(pyforest)或者https://github.com/8080labs/pyforest/blob/master/src/pyforest/_imports.py查看，详细如下

### 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")
open_workbook = LazyImport("from xlrd import open_workbook")
wr = LazyImport("import awswrangler as wr")
### 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")
### Image processing
cv2 = LazyImport("import cv2")
skimage = LazyImport("import skimage")
Image = LazyImport("from PIL import Image")
imutils = LazyImport("import imutils")
# statistics
statistics = LazyImport("import statistics")
stats = LazyImport("from scipy import stats")
sm = LazyImport("import statsmodels.api as sm")
### Time-Series Forecasting
fbprophet = LazyImport("import fbprophet")
Prophet = LazyImport("from fbprophet import Prophet")
ARIMA = LazyImport("from statsmodels.tsa.arima_model import ARIMA")
### Machine Learning
sklearn = LazyImport("import sklearn")
LinearRegression = LazyImport("from sklearn.linear_model import LinearRegression")
LogisticRegression = LazyImport("from sklearn.linear_model import LogisticRegression")
Lasso = LazyImport("from sklearn.linear_model import Lasso")
LassoCV = LazyImport("from sklearn.linear_model import LassoCV")
Ridge = LazyImport("from sklearn.linear_model import Ridge")
RidgeCV = LazyImport("from sklearn.linear_model import RidgeCV")
ElasticNet = LazyImport("from sklearn.linear_model import ElasticNet")
ElasticNetCV = LazyImport("from sklearn.linear_model import ElasticNetCV")
PolynomialFeatures = LazyImport("from sklearn.preprocessing import PolynomialFeatures")
StandardScaler = LazyImport("from sklearn.preprocessing import StandardScaler")
MinMaxScaler = LazyImport("from sklearn.preprocessing import MinMaxScaler")
RobustScaler = LazyImport("from sklearn.preprocessing import RobustScaler")
OneHotEncoder = LazyImport("from sklearn.preprocessing import OneHotEncoder")
LabelEncoder = LazyImport("from sklearn.preprocessing import LabelEncoder")
TSNE = LazyImport("from sklearn.manifold import TSNE")
PCA = LazyImport("from sklearn.decomposition import PCA")
SimpleImputer = LazyImport("from sklearn.impute import SimpleImputer")
train_test_split = LazyImport("from sklearn.model_selection import train_test_split")
cross_val_score = LazyImport("from sklearn.model_selection import cross_val_score")
GridSearchCV = LazyImport("from sklearn.model_selection import GridSearchCV")
RandomizedSearchCV = LazyImport("from sklearn.model_selection import RandomizedSearchCV")
KFold = LazyImport("from sklearn.model_selection import KFold")
StratifiedKFold = LazyImport("from sklearn.model_selection import StratifiedKFold")
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")
CountVectorizer = LazyImport("from sklearn.feature_extraction.text import CountVectorizer")
metrics = LazyImport("from sklearn import metrics")
sg = LazyImport("from scipy import signal as sg")
# Clustering
KMeans = LazyImport ("from sklearn.cluster import KMeans")
# Gradient Boosting Decision Tree
xgb = LazyImport("import xgboost as xgb")
lgb = LazyImport("import lightgbm as lgb")
# 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")
torch = LazyImport("import torch")
fastai = LazyImport("import fastai")

# NLP
nltk = LazyImport("import nltk")
gensim = LazyImport("import gensim")
spacy = LazyImport("import spacy")
re = LazyImport("import re")
textblob = LazyImport("import textblob")

### 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")

pyforest不支持的包怎么办

pyforest中导入的包遵循python社区默认的简称，如pandas>pd、seaborn>sns、matplotlib.pyplot>plt等等。

如果想个性化自己的包导入简称，可在~/.pyforest/user_imports.py中添加自己的个性化设置即可，

例如，一般是import pandas as pd，如果想设置为import pandas as pd_test,

同样当pyforest不包含自己的包时，也可以以上面同样的方法添加。

进一步学习：https://github.com/8080labs/pyforest