- audacityのintoro data scienceを参考にする。それだけだとimportエラーになるので追加で
huslをインストールする。
- ggplotでの画像の出力はggsaveを使う
インストールログ
wk$ pyenv install -l
Available versions:
2.1.3
2.2.3
2.3.7
2.4
2.4.1
2.4.2
2.4.3
2.4.4
2.4.5
2.4.6
2.5
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.5.6
2.6.6
2.6.7
2.6.8
2.6.9
2.7-dev
2.7
2.7.1
2.7.2
2.7.3
2.7.4
2.7.5
2.7.6
2.7.7
2.7.8
2.7.9
2.7.10
3.0.1
3.1
3.1.1
3.1.2
3.1.3
3.1.4
3.1.5
3.2-dev
3.2
3.2.1
3.2.2
3.2.3
3.2.4
3.2.5
3.2.6
3.3.0
3.3-dev
3.3.1
3.3.2
3.3.3
3.3.4
3.3.5
3.3.6
3.4.0
3.4-dev
3.4.1
3.4.2
3.4.3
3.5.0b1
3.5.0b2
3.5.0b3
3.5-dev
3.6-dev
anaconda-1.4.0
anaconda-1.5.0
anaconda-1.5.1
anaconda-1.6.0
anaconda-1.6.1
anaconda-1.7.0
anaconda-1.8.0
anaconda-1.9.0
anaconda-1.9.1
anaconda-1.9.2
anaconda-2.0.0
anaconda-2.0.1
anaconda-2.1.0
anaconda-2.2.0
anaconda-2.3.0
anaconda3-2.0.0
anaconda3-2.0.1
anaconda3-2.1.0
anaconda3-2.2.0
anaconda3-2.3.0
ironpython-dev
ironpython-2.7.4
ironpython-2.7.5
jython-dev
jython-2.5.0
jython-2.5-dev
jython-2.5.1
jython-2.5.2
jython-2.5.3
jython-2.5.4-rc1
jython-2.7.0
miniconda-2.2.2
miniconda-3.0.0
miniconda-3.0.4
miniconda-3.0.5
miniconda-3.3.0
miniconda-3.4.2
miniconda-3.7.0
miniconda-3.8.3
miniconda-3.9.1
miniconda3-2.2.2
miniconda3-3.0.0
miniconda3-3.0.4
miniconda3-3.0.5
miniconda3-3.3.0
miniconda3-3.4.2
miniconda3-3.7.0
miniconda3-3.8.3
miniconda3-3.9.1
pypy-c-jit-latest
pypy-c-nojit-latest
pypy-dev
pypy-portable-2.3.1
pypy-portable-2.4
pypy-portable-2.5
pypy-portable-2.5.1
pypy-portable-2.6.0
pypy-1.5-src
pypy-1.5
pypy-1.6
pypy-1.7-dev
pypy-1.7
pypy-1.8-dev
pypy-1.8
pypy-1.9-dev
pypy-1.9
pypy-2.0-dev
pypy-2.0-src
pypy-2.0
pypy-2.0.1-src
pypy-2.0.1
pypy-2.0.2-src
pypy-2.0.2
pypy-2.1-src
pypy-2.1
pypy-2.2-src
pypy-2.2
pypy-2.2.1-src
pypy-2.2.1
pypy-2.3-src
pypy-2.3
pypy-2.3.1-src
pypy-2.3.1
pypy-2.4.0-src
pypy-2.4.0
pypy-2.4-beta1-src
pypy-2.4-beta1
pypy-2.5.0-src
pypy-2.5.0
pypy-2.5.1-src
pypy-2.5.1
pypy-2.6.0-src
pypy-2.6.0
pypy3-dev
pypy3-portable-2.3.1
pypy3-portable-2.4
pypy3-2.3.1-src
pypy3-2.3.1
pypy3-2.4.0-src
pypy3-2.4.0
stackless-dev
stackless-2.7-dev
stackless-2.7.2
stackless-2.7.3
stackless-2.7.4
stackless-2.7.5
stackless-2.7.6
stackless-2.7.7
stackless-2.7.8
stackless-3.2-dev
stackless-3.2.2
stackless-3.2.5
stackless-3.3-dev
stackless-3.3.5
stackless-3.4.1
wk$ pyenv install anaconda3-2.3.0
Downloading Anaconda3-2.3.0-MacOSX-x86_64.sh...
-> http://repo.continuum.io/archive/Anaconda3-2.3.0-MacOSX-x86_64.sh
Installing Anaconda3-2.3.0-MacOSX-x86_64...
Installed Anaconda3-2.3.0-MacOSX-x86_64 to /Users/wk/.pyenv/versions/anaconda3-2.3.0
wk$ pyenv versions
system
* 3.4.3 (set by /Users/wk/.pyenv/version)
anaconda3-2.3.0
wk$ pyenv global anaconda3-2.3.0
pyenv-virtualenv: activate anaconda3-2.3.0
discarding /Users/wk/.pyenv/versions/anaconda3-2.3.0/bin from PATH
prepending /Users/wk/.pyenv/versions/anaconda3-2.3.0/bin to PATH
(root)wk$ pyenv versions
system
3.4.3
* anaconda3-2.3.0 (set by /Users/wk/.pyenv/version)
(root)wk$ conda install pandasql
Fetching package metadata:
....
Solving package specifications: ...............
Package plan for installation in environment /Users/wk/.pyenv/versions/anaconda3-2.3.0:
The following packages will be downloaded:
package | build
---------------------------|-----------------
conda-env-2.3.0 | py34_0 24 KB
numpy-1.8.2 | py34_0 2.6 MB
scipy-0.14.0 | np18py34_0 10.6 MB
setuptools-18.0.1 | py34_0 345 KB
sqlparse-0.1.7 | py34_0 72 KB
conda-3.15.1 | py34_0 175 KB
dateutil-2.4.1 | py34_0 219 KB
pip-7.1.0 | py34_0 1.4 MB
pandas-0.14.1 | np18py34_0 4.2 MB
pandasql-0.4.2 | np18py34_0 21 KB
------------------------------------------------------------
Total: 19.7 MB
The following NEW packages will be INSTALLED:
dateutil: 2.4.1-py34_0
pandasql: 0.4.2-np18py34_0
sqlparse: 0.1.7-py34_0
The following packages will be UPDATED:
conda: 3.14.1-py34_0 --> 3.15.1-py34_0
conda-env: 2.2.3-py34_0 --> 2.3.0-py34_0
pip: 7.0.3-py34_0 --> 7.1.0-py34_0
setuptools: 17.1.1-py34_0 --> 18.0.1-py34_0
The following packages will be DOWNGRADED:
numpy: 1.9.2-py34_0 --> 1.8.2-py34_0
pandas: 0.16.2-np19py34_0 --> 0.14.1-np18py34_0
scipy: 0.15.1-np19py34_0 --> 0.14.0-np18py34_0
Proceed ([y]/n)?
Fetching packages ...
conda-env-2.3. 100% |############################################################################################################################################################| Time: 0:00:00 78.04 kB/s
numpy-1.8.2-py 100% |############################################################################################################################################################| Time: 0:00:12 211.62 kB/s
scipy-0.14.0-n 100% |############################################################################################################################################################| Time: 0:00:19 582.94 kB/s
setuptools-18. 100% |############################################################################################################################################################| Time: 0:00:03 116.89 kB/s
sqlparse-0.1.7 100% |############################################################################################################################################################| Time: 0:00:01 70.90 kB/s
conda-3.15.1-p 100% |############################################################################################################################################################| Time: 0:00:01 102.85 kB/s
dateutil-2.4.1 100% |############################################################################################################################################################| Time: 0:00:02 83.20 kB/s
pip-7.1.0-py34 100% |############################################################################################################################################################| Time: 0:00:06 239.13 kB/s
pandas-0.14.1- 100% |############################################################################################################################################################| Time: 0:00:13 338.15 kB/s
pandasql-0.4.2 100% |############################################################################################################################################################| Time: 0:00:00 50.54 kB/s
Extracting packages ...
[ COMPLETE ]|###############################################################################################################################################################################| 100%
Unlinking packages ...
[ COMPLETE ]|###############################################################################################################################################################################| 100%
Linking packages ...
[ COMPLETE ]|###############################################################################################################################################################################| 100%
(root)wk$ pip install ggplot
Collecting ggplot
Downloading ggplot-0.6.5.tar.gz (8.4MB)
100% |████████████████████████████████| 8.4MB 23kB/s
Requirement already satisfied (use --upgrade to upgrade): six in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from ggplot)
Requirement already satisfied (use --upgrade to upgrade): statsmodels in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from ggplot)
Collecting brewer2mpl (from ggplot)
Downloading brewer2mpl-1.4.1-py2.py3-none-any.whl
Requirement already satisfied (use --upgrade to upgrade): matplotlib in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from ggplot)
Requirement already satisfied (use --upgrade to upgrade): scipy in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from ggplot)
Requirement already satisfied (use --upgrade to upgrade): patsy in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from ggplot)
Requirement already satisfied (use --upgrade to upgrade): pandas in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from ggplot)
Requirement already satisfied (use --upgrade to upgrade): numpy in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from ggplot)
Requirement already satisfied (use --upgrade to upgrade): python-dateutil in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from matplotlib->ggplot)
Requirement already satisfied (use --upgrade to upgrade): pytz in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from matplotlib->ggplot)
Requirement already satisfied (use --upgrade to upgrade): pyparsing>=1.5.6 in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from matplotlib->ggplot)
Requirement already satisfied (use --upgrade to upgrade): nose>=0.11.1 in /Users/wk/.pyenv/versions/anaconda3-2.3.0/lib/python3.4/site-packages (from matplotlib->ggplot)
Installing collected packages: brewer2mpl, ggplot
Running setup.py install for ggplot
Successfully installed brewer2mpl-1.4.1 ggplot-0.6.5
(root)wk$
この後に
pip install husl
をする。
動作確認コーディング
from pandas import *
from ggplot import *
import pandas
df = pandas.read_csv('hr_year.csv')
p = ggplot(df, aes('yearID', 'HR')) + geom_point(color = 'red') + geom_line(color='red') + ggtitle('title') + xlab('x-label') + ylab('y-label')
ggsave(p,'test.png')
test$ python test.py
Saving 11.0 x 8.0 in image.
test01$ ls
__pycache__ hr_year.csv test.png test.py
