blocks|key|199815|text|我找到了一个解决方案。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|199816|import+sys

sys.path.append('/usr/lib/python2.7/dist-packages')

os.system("sudo+apt-get+install+python-pandas+-y")
os.system("sudo+apt-get+install+python-numpy+-y")
os.system("sudo+apt-get+install+python-scipy+-y")
os.system("sudo+apt-get+install+python-sklearn+-y")

import+pandas
import+numpy
import+scipy
import+sklearn|code-block|syntax|javascript|199817|如果谁有更好的解决方案，请让我知道。|199818|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

I found a solution.

<pre><code>import sys

sys.path.append('/usr/lib/python2.7/dist-packages')

os.system("sudo apt-get install python-pandas -y")
os.system("sudo apt-get install python-numpy -y")
os.system("sudo apt-get install python-scipy -y")
os.system("sudo apt-get install python-sklearn -y")

import pandas
import numpy
import scipy
import sklearn
</code></pre>

If any one has a more elegant solution, please let me know.

blocks|key|692770|text|尝试使用conda+install+numpy，因为谷歌的jupyter初始化脚本正在使用conda。我个人更喜欢有自己的init脚本，这样我就可以有更多的控制权。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|692771|entityMap^0|4|J|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|K|8|@]|D|@]|E|$]]]|G|$]]

Try <code>conda install numpy</code> as Google's jupyter init script is using conda.
I personally prefer to have my own init scripts so I can have more control.

blocks|key|3980235|text|您是否尝试执行以下命令？|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3980236|pip+install+ipython[numpy]|code-block|syntax|javascript|3980237|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

Did you try to execute the following command ?

<pre><code>pip install ipython[numpy]
</code></pre>

blocks|key|2604973|text|++++#!/usr/bin/env+bash
++++set+-e

++++ROLE=$(curl+-f+-s+-H+Metadata-Flavor:Google+http://metadata/computeMetadata/v1/instance/attributes/dataproc-role)
++++INIT_ACTIONS_REPO=$(curl+-f+-s+-H+Metadata-Flavor:Google+http://metadata/computeMetadata/v1/instance/attributes/INIT_ACTIONS_REPO+%7C%7C+true)
++++INIT_ACTIONS_REPO="${INIT_ACTIONS_REPO:-https://github.com/GoogleCloudPlatform/dataproc-initialization-actions.git}"
++++INIT_ACTIONS_BRANCH=$(curl+-f+-s+-H+Metadata-Flavor:Google+http://metadata/computeMetadata/v1/instance/attributes/INIT_ACTIONS_BRANCH+%7C%7C+true)
++++INIT_ACTIONS_BRANCH="${INIT_ACTIONS_BRANCH:-master}"
++++DATAPROC_BUCKET=$(curl+-f+-s+-H+Metadata-Flavor:Google+http://metadata/computeMetadata/v1/instance/attributes/dataproc-bucket)

++++echo+"Cloning+fresh+dataproc-initialization-actions+from+repo+$INIT_ACTIONS_REPO+and+branch+$INIT_ACTIONS_BRANCH..."
++++git+clone+-b+"$INIT_ACTIONS_BRANCH"+--single-branch+$INIT_ACTIONS_REPO
++++#+Ensure+we+have+conda+installed.
++++./dataproc-initialization-actions/conda/bootstrap-conda.sh
++++#./dataproc-initialization-actions/conda/install-conda-env.sh

++++source+/etc/profile.d/conda_config.sh

++++if+[[+"${ROLE}"+==+'Master'+]];+then
++++++++conda+install+jupyter

++++++++if+gsutil+-q+stat+"gs://$DATAPROC_BUCKET/notebooks/**";+then
+++++++++++echo+"Pulling+notebooks+directory+to+cluster+master+node..."
+++++++++++gsutil+-m+cp+-r+gs://$DATAPROC_BUCKET/notebooks+/root/
++++++++fi

++++++++./dataproc-initialization-actions/jupyter/internal/setup-jupyter-kernel.sh
++++++++./dataproc-initialization-actions/jupyter/internal/launch-jupyter-kernel.sh
+++++fi

+++++if+gsutil+-q+stat+"gs://$DATAPROC_BUCKET/scripts/**";+then
+++++++++echo+"Pulling+scripts+directory+to+cluster+master+and+worker+nodes..."
+++++++++gsutil+-m+cp+-r+gs://$DATAPROC_BUCKET/scripts/*+++++/usr/local/bin/miniconda/lib/python2.7
+++++fi+

+++++if+gsutil+-q+stat+"gs://$DATAPROC_BUCKET/modules/**";+then
++++++++echo+"Pulling+modules+directory+to+cluster+master+and+worker+nodes..."
++++++++gsutil+-m+cp+-r+gs://$DATAPROC_BUCKET/modules/*++++/usr/local/bin/miniconda/lib/python2.7+++
+++++fi+

+++++echo+"Completed+installing+Jupyter!"

#+Install+Jupyter+extensions+(if+desired)
#+TODO:+document+this+in+readme
if+[[+!+-v+$INSTALL_JUPYTER_EXT+]]
++++then
++++INSTALL_JUPYTER_EXT=false
fi
if+[[+"$INSTALL_JUPYTER_EXT"+=+true+]]
then
++++echo+"Installing+Jupyter+Notebook+extensions..."
++++./dataproc-initialization-actions/jupyter/internal/bootstrap-jupyter-ext.sh
++++echo+"Jupyter+Notebook+extensions+installed!"
fi|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|2604974|unstyled|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|G|8|@]|9|@]|A|$B|C]]|$1|D|3|-4|5|E|7|H|8|@]|9|@]|A|$]]]|F|$]]

<pre><code> #!/usr/bin/env bash
 set -e

 ROLE=$(curl -f -s -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-role)
 INIT_ACTIONS_REPO=$(curl -f -s -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/INIT_ACTIONS_REPO || true)
 INIT_ACTIONS_REPO="${INIT_ACTIONS_REPO:-https://github.com/GoogleCloudPlatform/dataproc-initialization-actions.git}"
 INIT_ACTIONS_BRANCH=$(curl -f -s -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/INIT_ACTIONS_BRANCH || true)
 INIT_ACTIONS_BRANCH="${INIT_ACTIONS_BRANCH:-master}"
 DATAPROC_BUCKET=$(curl -f -s -H Metadata-Flavor:Google http://metadata/computeMetadata/v1/instance/attributes/dataproc-bucket)

 echo "Cloning fresh dataproc-initialization-actions from repo $INIT_ACTIONS_REPO and branch $INIT_ACTIONS_BRANCH..."
 git clone -b "$INIT_ACTIONS_BRANCH" --single-branch $INIT_ACTIONS_REPO
 # Ensure we have conda installed.
 ./dataproc-initialization-actions/conda/bootstrap-conda.sh
 #./dataproc-initialization-actions/conda/install-conda-env.sh

 source /etc/profile.d/conda_config.sh

 if [[ "${ROLE}" == 'Master' ]]; then
 conda install jupyter

 if gsutil -q stat "gs://$DATAPROC_BUCKET/notebooks/**"; then
 echo "Pulling notebooks directory to cluster master node..."
 gsutil -m cp -r gs://$DATAPROC_BUCKET/notebooks /root/
 fi

 ./dataproc-initialization-actions/jupyter/internal/setup-jupyter-kernel.sh
 ./dataproc-initialization-actions/jupyter/internal/launch-jupyter-kernel.sh
 fi

 if gsutil -q stat "gs://$DATAPROC_BUCKET/scripts/**"; then
 echo "Pulling scripts directory to cluster master and worker nodes..."
 gsutil -m cp -r gs://$DATAPROC_BUCKET/scripts/* /usr/local/bin/miniconda/lib/python2.7
 fi 

 if gsutil -q stat "gs://$DATAPROC_BUCKET/modules/**"; then
 echo "Pulling modules directory to cluster master and worker nodes..."
 gsutil -m cp -r gs://$DATAPROC_BUCKET/modules/* /usr/local/bin/miniconda/lib/python2.7 
 fi 

 echo "Completed installing Jupyter!"

# Install Jupyter extensions (if desired)
# TODO: document this in readme
if [[ ! -v $INSTALL_JUPYTER_EXT ]]
 then
 INSTALL_JUPYTER_EXT=false
fi
if [[ "$INSTALL_JUPYTER_EXT" = true ]]
then
 echo "Installing Jupyter Notebook extensions..."
 ./dataproc-initialization-actions/jupyter/internal/bootstrap-jupyter-ext.sh
 echo "Jupyter Notebook extensions installed!"
fi
</code></pre>

When starting Jupyter Notebook on Google Dataproc, importing modules fails. I have tried to install the modules using different commands. Some examples:

<pre><code>import os
os.sytem("sudo apt-get install python-numpy")
os.system("sudo pip install numpy") #after having installed pip
os.system("sudo pip install python-numpy") #after having installed pip

import numpy
</code></pre>

None of the above examples work and return an import error:

<a href="http://i.stack.imgur.com/qtJEC.png" rel="nofollow">enter image description here</a>

When using command line I am able to install modules, but still the import error remains. I guess I am installing modules in a wrong location.

Any thoughts?

ImportError: No module named numpy - Google Cloud Dataproc when using Jupyter Notebook

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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在Google Dataproc上启动Jupyter Notebook时，导入模块失败。我尝试使用不同的命令来安装模块。下面是一些例子：import osos.sytem("sudo apt-get install python-numpy")os.system("sudo pip install numpy") #after having installed pipos.system("sudo

问ImportError:使用Jupyter Notebook时没有名为numpy - Google Cloud Dataproc的模块
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回答 4

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