blocks|key|3159162|text|您可以使用以下命令从容器中获取bash：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3159163|docker-compose+exec+freqtrade+bash|code-block|syntax|javascript|3159164|然后：|3159165|pip+install+finta|3159166|或者只运行一个命令：|3159167|docker-compose+exec+freqtrade+pip+install+finta|3159168|如果上面的解决方案不起作用，您可以运行docker+ps命令并获取容器的container+id。然后|offset|length|style|CODE|3159169|docker+exec+-it+CONTAINER_ID+bash
pip+install+finta|3159170|entityMap^0|0|0|0|0|0|0|J|9|10|C|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|Z|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|10|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|11|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|12|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|13|8|@]|9|@]|A|$E|F]]|$1|O|3|P|5|6|7|14|8|@$Q|15|R|16|S|T]|$Q|17|R|18|S|T]]|9|@]|A|$]]|$1|U|3|V|5|D|7|19|8|@]|9|@]|A|$E|F]]|$1|W|3|-4|5|6|7|1A|8|@]|9|@]|A|$]]]|X|$]]

You can get bash from your container with this command:
<pre><code>docker-compose exec freqtrade bash
</code></pre>
and then:
<pre><code>pip install finta
</code></pre>
OR
run only one command:
<pre><code>docker-compose exec freqtrade pip install finta
</code></pre>
If the above solutions didn't work, You can run <code>docker ps</code> command and get <code>container id</code> of your container. Then
<pre><code>docker exec -it CONTAINER_ID bash
pip install finta
</code></pre>

blocks|key|3159217|text|你需要制作你自己的码头形象，已经安装。幸运的是，你可以建立在标准的自由贸易码头形象之上。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3159218|首先制作一个包含这两行的Dockerfile|offset|length|style|CODE|3159219|FROM+freqtradeorg/freqtrade:stable
RUN+pip+install+finta|code-block|syntax|javascript|3159220|然后通过运行命令构建映像(调用新的映像myfreqtrade)|3159221|docker+build+-t+myfreqtrade+.|3159222|最后，通过更改行，将docker-compose.yml文件更改为运行映像。|3159223|image:+freqtradeorg/freqtrade:stable|3159224|至|3159225|image:+myfreqtrade|3159226|应该是这样的。|3159227|entityMap^0|0|C|A|0|0|J|B|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|12|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|13|8|@$D|14|E|15|F|G]]|9|@]|A|$]]|$1|H|3|I|5|J|7|16|8|@]|9|@]|A|$K|L]]|$1|M|3|N|5|6|7|17|8|@$D|18|E|19|F|G]]|9|@]|A|$]]|$1|O|3|P|5|J|7|1A|8|@]|9|@]|A|$K|L]]|$1|Q|3|R|5|6|7|1B|8|@]|9|@]|A|$]]|$1|S|3|T|5|J|7|1C|8|@]|9|@]|A|$K|L]]|$1|U|3|V|5|6|7|1D|8|@]|9|@]|A|$]]|$1|W|3|X|5|J|7|1E|8|@]|9|@]|A|$K|L]]|$1|Y|3|Z|5|6|7|1F|8|@]|9|@]|A|$]]|$1|10|3|-4|5|6|7|1G|8|@]|9|@]|A|$]]]|11|$]]

You need to make your own docker image that has finta installed. Luckily you can build on top of the standard freqtrade docker image.
First make a <code>Dockerfile</code> with these two lines in it
<pre><code>FROM freqtradeorg/freqtrade:stable
RUN pip install finta
</code></pre>
Then build the image (calling the new image <code>myfreqtrade</code>) by running the command
<pre><code>docker build -t myfreqtrade .
</code></pre>
Finally change the docker-compose.yml file to run your image by changing the line
<pre><code>image: freqtradeorg/freqtrade:stable
</code></pre>
to
<pre><code>image: myfreqtrade
</code></pre>
And that should be that.

blocks|key|806914|text|让Python代码在容器中运行的方法是将其打包为Docker映像，然后基于它运行容器。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|806915|📷|atomic|offset|length|806916|​|806917|要生成Docker映像，我们需要创建一个Dockerfile，其中包含构建映像所需的指令。Dockerfile然后由生成Docker映像的Docker生成器处理。然后，使用简单的docker命令，使用Python服务创建并运行容器。|806918|包含安装finta服务的Docker映像的说明的Dockerfile示例如下|style|CODE|806919|#+set+base+image+(host+OS)
FROM+python:3.8

#+install+dependencies
RUN+pip+install+finta

#+command+to+run+on+container+start
CMD+[+"python",+"-V"+]|code-block|syntax|javascript|806920|对于Dockerfile中的每条指令或命令，Docker构建器生成一个映像层，并将其叠加在前面的图层上。因此，进程产生的Docker映像只是一个不同层的只读堆栈.|806921|docker+build+-t+myimage+.|806922|然后，我们可以检查图像是在本地图像存储：|806923|docker+images|806924|请参阅freqtrade+DockerFile+https://github.com/freqtrade/freqtrade/blob/develop/Dockerfile|806925|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/a184e6fc6c53df48c5823ed3f9134afc.png|imageAlt|1|LINK|MUTABLE|url|https://github.com/freqtrade/freqtrade/blob/develop/Dockerfile^0|0|0|1|0|0|0|0|4|5|0|0|0|0|0|0|O|1Q|1|0^^$0|@$1|2|3|4|5|6|7|1H|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|1I|8|@]|9|@$E|1J|F|1K|1|1L]]|A|$]]|$1|G|3|H|5|6|7|1M|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|1N|8|@]|9|@]|A|$]]|$1|K|3|L|5|6|7|1O|8|@$E|1P|F|1Q|M|N]]|9|@]|A|$]]|$1|O|3|P|5|Q|7|1R|8|@]|9|@]|A|$R|S]]|$1|T|3|U|5|6|7|1S|8|@]|9|@]|A|$]]|$1|V|3|W|5|Q|7|1T|8|@]|9|@]|A|$R|S]]|$1|X|3|Y|5|6|7|1U|8|@]|9|@]|A|$]]|$1|Z|3|10|5|Q|7|1V|8|@]|9|@]|A|$R|S]]|$1|11|3|12|5|6|7|1W|8|@]|9|@$E|1X|F|1Y|1|1Z]]|A|$]]|$1|13|3|-4|5|6|7|20|8|@]|9|@]|A|$]]]|14|$15|$5|16|17|18|A|$19|1A|1B|-4]]|1C|$5|1D|17|1E|A|$1F|1G]]]]

The way to get our Python code running in a container is to pack it as a Docker image and then run a container based on it.
<a href="https://i.stack.imgur.com/91v98.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/91v98.png" alt="enter image description here" /></a>
To generate a Docker image we need to create a Dockerfile that contains instructions needed to build the image. The Dockerfile is then processed by the Docker builder which generates the Docker image. Then, with a simple docker run command, we create and run a container with the Python service.
An example of a Dockerfile containing instructions for assembling a Docker image for Python service installing <code>finta</code> is the following
<pre><code># set base image (host OS)
FROM python:3.8

# install dependencies
RUN pip install finta

# command to run on container start
CMD [ &quot;python&quot;, &quot;-V&quot; ]
</code></pre>
For each instruction or command from the Dockerfile, the Docker builder generates an image layer and stacks it upon the previous ones. Therefore, the Docker image resulting from the process is simply a read-only stack of different layers.
<pre><code>docker build -t myimage .
</code></pre>
Then, we can check the image is in the local image store:
<pre><code>docker images
</code></pre>
Please refer to the freqtrade DockerFile <a href="https://github.com/freqtrade/freqtrade/blob/develop/Dockerfile" rel="nofollow noreferrer">https://github.com/freqtrade/freqtrade/blob/develop/Dockerfile</a>

My Docker knowledge is very poor, I have Docker installed only because I would use freqtrade, so I followed this simple HOWTO
<a href="https://www.freqtrade.io/en/stable/docker_quickstart/" rel="nofollow noreferrer">https://www.freqtrade.io/en/stable/docker_quickstart/</a>
Now , all freqtrade commands run using docker , for example this
<pre><code>D:\ft_userdata\user_data&gt;docker-compose run --rm freqtrade backtesting --config user_data/cryptofrog.config.json --datadir user_data/data/binance --export trades --stake-amount 70 --strategy CryptoFrog -i 5m
</code></pre>
Well , I started to have problems when I would had try this strategy
<a href="https://github.com/froggleston/cryptofrog-strategies" rel="nofollow noreferrer">https://github.com/froggleston/cryptofrog-strategies</a>
for freqtrade . This strategy requires Python module finta .
I understood that the Python module finta should be installed in my Docker container
and NOT in my Windows system (it was easy &quot;pip install finta&quot; from console!).
Even if I tried to find a solution over stackoverflow and google, I do no understand how to do this step (install finta python module in freqtrade container).
after several hours I am really lost.
Someone can explain me in easy steps how to do this ?
Freqtrade mount point is
D:\ft_userdata\user_data

How to install a python module in a docker container

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我的码头工人知识很差，我安装码头只是因为我会使用频率贸易，所以我遵循了这个简单的方法。现在，所有的freqtrade命令都使用docker运行，例如D:\ft_userdata\user_data>docker-compose run --rm freqtrade backtesting --config user_d...

问如何在码头容器中安装python模块
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