从木星笔记本安装 pip 软件包不工作

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Try using some shell magic: %%sh %%sh pip install geocoder let me know if it works, thanks

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Using pip2 worked for me:

!pip2 install geocoder
...
import geocoder
g = geocoder.google('Mountain View, CA')
g.latlng
[37.3860517, -122.0838511]

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conda create -n py27 python=2.7 ipykernel

source activate py27

pip install geocoder

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! pip install --user <package>

The ! tells the notebook to execute the cell as a shell command.

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Alternative option : you can also create a bash cell in jupyter using bash kernel and then pip install geocoder. That should work

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In jupyter notebook under python 3.6, the following line works:

!source activate py36;pip install <...>

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The problem is that pyarrow is saved by pip into dist-packages (in your case /usr/local/lib/python2.7/dist-packages). This path is skipped by Jupyter so pip won't help.

As a solution I suggest adding in the first block

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

or whatever is path or python version. In case of Python 3.5 this is

import sys
sys.path.append("/usr/local/lib/python3.5/dist-packages")

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%pip install fedex    #fedex = package name

in 2019.

In older versions of conda:

import sys
!{sys.executable} -m pip install fedex     #fedex = package name

*note - you do need to import sys

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This worked for me in Jupyter nOtebook /Mac Platform /Python 3 :

import sys
!{sys.executable} -m pip install -r requirements.txt

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In IPython (jupyter) 7.3 and later, there is a magic %pip and %conda command that will install into the current kernel (rather than into the instance of Python that launched the notebook).

%pip install geocoder

In earlier versions, you need to use sys to fix the problem like in the answer by FlyingZebra1

import sys
!{sys.executable} -m pip install geocoder

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I had the same problem.

I found these instructions that worked for me.

# Example of installing handcalcs directly from a notebook
!pip install --upgrade-strategy only-if-needed handcalcs

ref: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html

Issues may arise when using pip and conda together. When combining conda and pip, it is best to use an isolated conda environment. Only after conda has been used to install as many packages as possible should pip be used to install any remaining software. If modifications are needed to the environment, it is best to create a new environment rather than running conda after pip. When appropriate, conda and pip requirements should be stored in text files.

We recommend that you:

Use pip only after conda

Install as many requirements as possible with conda then use pip.

Pip should be run with --upgrade-strategy only-if-needed (the default).

Do not use pip with the --user argument, avoid all users installs.