I'm having a hard time installing certain Python modules in Cloud9 ide.
I have tried using easy_install (their recommended method) and pip but with both I get a ton of warnings and end with errors (find the error messages below).
I have read that memory issues might be the problem, and that a possible solution is to increase the swap space, however apparently Cloud9 does not allow it, since sudo swapon /swap1
fails showing Operation not permitted
Anyone ever installed pandas in Cloud9? Any other method I should try?
UPDATE: I managed to install pandas using the Linux distribution’s package manager: sudo apt-get install python-pandas
however I get the version 0.13 and I need the current version 0.16 to use pandasql.
This is what I get doing sudo easy_install pandas
:
x86_64-linux-gnu-gcc: internal compiler error: Killed (program cc1)
Please submit a full bug report, with preprocessed source if appropriate.
See <file:///usr/share/doc/gcc-4.8/README.Bugs> for instructions.
error: Setup script exited with error: command 'x86_64-linux-gnu-gcc' failed with exit status 4
This is what I get doing pip install pandas
:
Traceback (most recent call last):
File "/usr/bin/pip", line 9, in <module>
load_entry_point('pip==1.5.4', 'console_scripts', 'pip')()
File "/usr/lib/python2.7/dist-packages/pip/__init__.py", line 185, in main
return command.main(cmd_args)
File "/usr/lib/python2.7/dist-packages/pip/basecommand.py", line 161, in main
text = '\n'.join(complete_log)
UnicodeDecodeError: 'ascii' codec can't decode byte 0xe2 in position 41: ordinal not in range(128)
I created 2 scripts to do the job:
script 01:
#! /bin/bash
#Downloading Miniconda 64Bits for Linux
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
#Changing file permission for execution
chmod a+x Miniconda3-latest-Linux-x86_64.sh
#Installing Miniconda
./Miniconda3-latest-Linux-x86_64.sh
# Follow instructions to complete install
# Close and reopen terminal.
echo 'Please close the terminal reopen and run install02.sh script now'
Script 02:
#! /bin/bash
# Creating environment (sandbox instance called py3 [choose the name you want])
conda create -n py3 python=3 ipython
# Activating created environment
source activate py3
# Install package manager pip
conda install pip
# The installation installs the packages
#pip install numpy
#pip install pandas
#pip install matplotlib
# which ipython is to be used in the environment? pip freeze shows it
pip freeze
# Installing ipython notebook
conda install ipython-notebook
# Installing the packages
conda install numpy
conda install pandas
conda install matplotlib
I have installed more than only pandas, so as you can see in the script you can install any package using conda install package_name
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