|
1 |
| -On Mac: |
| 1 | +1) Download & Install the latest Anaconda Distribution of Python 3.5 from: |
| 2 | + https://www.continuum.io/downloads |
2 | 3 |
|
3 |
| -1) Install Annaconda (2.7 or 3?) |
4 |
| -2) from command prompt, run |
5 |
| -% ipython notebook |
6 |
| - This will start the ipyton console and open a browser window |
7 |
| - Ctrl-C to kill the server |
8 |
| -3) In browser, it should open at localhost:8888 |
| 4 | +2) Open a command prompt and navigate to the subfolder: |
| 5 | + \FrontEnd\Python\Visualization\npvcube |
9 | 6 |
|
10 |
| -4) Open npv.ipynb |
| 7 | +3) Launch Jupyter in that folder. If in step 1) you installed Anaconda to C:\Program Files\Anaconda the command for this is: |
| 8 | + C:\Program Files\Anaconda\Scripts\jupyter.exe noteboook |
| 9 | +In case you added C:\Program Files\Anaconda\Scripts to your PATH environment variable you can just type |
| 10 | + jupyter notebook |
11 | 11 |
|
| 12 | +This will start the ipyton console and open a browser window. Ctrl-C to kill the server. |
12 | 13 |
|
13 |
| -Trouble shooting: |
| 14 | +4) Your standard Browser should open with a list of files in that folder. Just click on the notebook you would like to try, for instance |
| 15 | + ore_jupyter_dashboard.ipynb |
14 | 16 |
|
15 |
| -1) ImportError: No module named 'ipywidgets' |
| 17 | +5) The notebook should open and you can run it by clicking on Cell/Run Cells. |
16 | 18 |
|
17 |
| -Run |
18 |
| -conda install -c anaconda ipywidgets=4.1.1 |
| 19 | +6) Some of the cells have additional dependencies as mentioned in their description. For an optimal experience, we recommend installing (if not already installed): |
| 20 | + ipywidgets: https://github.com/ipython/ipywidgets |
| 21 | + jupyter_dashboads: https://github.com/jupyter-incubator/dashboards |
| 22 | + bqplot: https://github.com/bloomberg/bqplot |
| 23 | + pythreejs: https://github.com/jovyan/pythreejs |
| 24 | +Complete installation instructions can be found under the links mentioned above. Short version: |
| 25 | + conda install -c conda-forge ipywidgets |
| 26 | + pip install jupyter_dashboards |
| 27 | + jupyter dashboards quick-setup --sys-prefix |
| 28 | + conda install -c conda-forge bqplot |
| 29 | + conda install -c conda-forge pythreejs |
19 | 30 |
|
20 |
| -On Windows: |
21 |
| - 1) Download & Install the latest Anaconda Distribution of Python 3.5 from: |
22 |
| - https://www.continuum.io/downloads |
23 |
| - |
24 |
| - 2) Open a command prompt and navigate to the subfolder: |
25 |
| - \FrontEnd\Python\Visualization\npvcube |
26 |
| - |
27 |
| - 3) Launch Jupyter in that folder. If in step 1) you installed Anaconda to C:\Program Files\Anaconda the command for this is: |
28 |
| - C:\Program Files\Anaconda\Scripts\jupyter.exe noteboook |
29 |
| - In case you added C:\Program Files\Anaconda\Scripts to your PATH environment variable you can just type |
30 |
| - jupyter notebook |
31 |
| - |
32 |
| - 4) Your standard Browser should open with a list of files in that folder. Just click on the notebook you would like to try, for instance |
33 |
| - vizualization_dashboard.ipynb |
34 |
| - launcher_dashboard.ipynb |
35 |
| - |
36 |
| - 5) The notebook should open and you can run it by clicking on Cell/Run Cells. |
37 |
| - |
38 |
| - 6) Some of the cells have additional dependencies as mentioned in their description. For an optimal experience, we recommend installing |
39 |
| - jupyter_dashboads: https://github.com/jupyter-incubator/dashboards |
40 |
| - bqplot: https://github.com/bloomberg/bqplot |
41 |
| - pythreejs: https://github.com/jovyan/pythreejs |
42 |
| - Complete installation instructions can be found under the links mentioned above. Short version: |
43 |
| - pip install jupyter_dashboards |
44 |
| - jupyter dashboards quick-setup --sys-prefix |
45 |
| - conda install -c conda-forge bqplot |
46 |
| - conda install -c conda-forge pythreejs |
| 31 | +7) To use the grid view of the jupyter_dashbords module, click on: |
| 32 | + View/Dashboard Preview |
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