无法在Anaconda中安装chatterbot

Question

使用Python 3.7在Anaconda中安装chatterbot时，出现以下错误：

  

找到现有的安装：PyYAML 3.13无法卸载“ PyYAML”。它   是distutils安装的项目，因此我们无法准确   确定哪些文件属于它，这只会导致部分文件   卸载。

Answer 1

使用Python 3.7在chatterbot环境中安装conda

• 使用Python 3.7创建新的conda环境

conda create --name chatterbot_example python=3.7

• 激活环境：

source activate chatterbot_example

• 在环境中安装chatterbot和chatterbot-corpus：

pip install chatterbot
pip install chatterbot-corpus

• 创建Chatterbot Documentation（example.py）中显示的基本信息：

from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer

chatbot = ChatBot('Ron Obvious')

# Create a new trainer for the chatbot
trainer = ChatterBotCorpusTrainer(chatbot)

# Train the chatbot based on the english corpus
trainer.train("chatterbot.corpus.english")

# Get a response to an input statement
print(chatbot.get_response("Hello, how are you today?"))

• 运行程序：

python example.py

输出：

python example.py
[nltk_data] Downloading package stopwords to /home/cefalo/nltk_data...
[nltk_data]   Package stopwords is already up-to-date!
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data]     /home/cefalo/nltk_data...
[nltk_data]   Package averaged_perceptron_tagger is already up-to-
[nltk_data]       date!
Training ai.yml: [####################] 100%
Training botprofile.yml: [####################] 100%
Training computers.yml: [####################] 100%
Training conversations.yml: [####################] 100%
Training emotion.yml: [####################] 100%
Training food.yml: [####################] 100%
Training gossip.yml: [####################] 100%
Training greetings.yml: [####################] 100%
Training health.yml: [####################] 100%
Training history.yml: [####################] 100%
Training humor.yml: [####################] 100%
Training literature.yml: [####################] 100%
Training money.yml: [####################] 100%
Training movies.yml: [####################] 100%
Training politics.yml: [####################] 100%
Training psychology.yml: [####################] 100%
Training science.yml: [####################] 100%
Training sports.yml: [####################] 100%
Training trivia.yml: [####################] 100%
Tell me a joke

系统信息：

• 操作系统：Ubuntu 16.04 LTS
• 处理器：英特尔®酷睿™i7-4600M

Conda版本信息：

conda --version
conda 4.5.11

已安装的软件包：

attrs==19.1.0
blis==0.2.4
certifi==2019.3.9
chardet==3.0.4
ChatterBot==1.0.5
chatterbot-corpus==1.2.0
cymem==2.0.2
idna==2.8
jsonschema==3.0.1
mathparse==0.1.2
murmurhash==1.0.2
nltk==3.4.1
numpy==1.16.3
Pint==0.9
plac==0.9.6
preshed==2.0.1
pymongo==3.8.0
pyrsistent==0.15.2
python-dateutil==2.7.5
pytz==2019.1
PyYAML==3.13
requests==2.22.0
six==1.12.0
spacy==2.1.4
SQLAlchemy==1.2.19
srsly==0.0.5
thinc==7.0.4
tqdm==4.32.1
urllib3==1.25.2
wasabi==0.2.2

Answer 2

更新@arsho共享的解决方案。

对于4.6之前的conda版本，请使用：

• Windows：ExcelApp = win32com.client.Dispatch("Excel.Application") ExcelApp.visible = True wb = ExcelApp.Workbooks.Open(old_file_path) wb = ExcelApp.ActiveWorkbook ExcelApp.Sheets("KW16").Select() activesheet = ExcelApp.activesheet col_end = activesheet.UsedRange.columns.count row_end = activesheet.UsedRange.rows.count ExcelApp.document.body.InnerHTML = activesheet.Range(activesheet.Cells(1,1), activesheet.Cells(row_end,col_end))
• macOS和Linux：activate snakes

对于conda 4.6和更高版本，请使用：

• Windows，macOS，Linux：source activate snakes