diff --git a/test.ipynb b/test.ipynb deleted file mode 100644 index ad86e4c774b212a67eeef7e257723b029fc11af1..0000000000000000000000000000000000000000 --- a/test.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"metadata":{"citation-manager":{"citations":{"":[]}},"tags":["title"]},"cell_type":"markdown","source":"# Title "},{"metadata":{"tags":["contributor"]},"cell_type":"markdown","source":" ### Contributor1FirstName Contributor1LastName [![orcid](https://orcid.org/sites/default/files/images/orcid_16x16.png)](https://orcid.org/ORCID_ID) \nInstitution"},{"metadata":{"tags":["contributor"]},"cell_type":"markdown","source":"### Contributor2FirstName Contributor2LastName [![orcid](https://orcid.org/sites/default/files/images/orcid_16x16.png)](https://orcid.org/ORCID_ID_IF_EXIST) \nInstitution"},{"metadata":{"tags":["contributor"]},"cell_type":"markdown","source":"### Contributor3FirstName Contributor3LastName [![orcid](https://orcid.org/sites/default/files/images/orcid_16x16.png)](https://orcid.org/ORCID_ID_IF_EXIST) \nInstitution"},{"metadata":{"tags":["copyright"]},"cell_type":"markdown","source":"[![cc-by](https://licensebuttons.net/l/by/4.0/88x31.png)](https://creativecommons.org/licenses/by/4.0/) \n©. Published by De Gruyter in cooperation with the University of Luxembourg Centre for Contemporary and Digital History. This is an Open Access article distributed under the terms of the [Creative Commons Attribution License CC-BY](https://creativecommons.org/licenses/by/4.0/)\n"},{"metadata":{"tags":["copyright"]},"cell_type":"markdown","source":"[![cc-by-nc-nd](https://licensebuttons.net/l/by-nc-nd/4.0/88x31.png)](https://creativecommons.org/licenses/by-nc-nd/4.0/) \n©. Published by De Gruyter in cooperation with the University of Luxembourg Centre for Contemporary and Digital History. This is an Open Access article distributed under the terms of the [Creative Commons Attribution License CC-BY-NC-ND](https://creativecommons.org/licenses/by-nc-nd/4.0/)\n"},{"metadata":{"tags":["cover"],"trusted":false},"cell_type":"code","source":"from IPython.display import Image, display\n\ndisplay(Image(\"./media/placeholder.png\"))","execution_count":6,"outputs":[{"data":{"image/png":"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\n","text/plain":""},"metadata":{},"output_type":"display_data"}]},{"metadata":{"tags":["disclaimer"]},"cell_type":"markdown","source":" (optional) This article was orginally published (...)"},{"metadata":{"tags":["keywords"]},"cell_type":"markdown","source":"FirstKeyword, SecondKeyword, AlwaysSeparatedByAComma"},{"metadata":{"tags":["abstract"]},"cell_type":"markdown","source":"This is an abstract (...)"},{"metadata":{},"cell_type":"markdown","source":"## Introduction"},{"metadata":{},"cell_type":"markdown","source":"This is the first paragrah of running text with a citation example "},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"tags":["hermeneutics"]},"cell_type":"markdown","source":"This is a hermeneutic paragraph"},{"metadata":{"jdh":{"module":"object","object":{"source":["table 1: label table 1"]}},"tags":["table-1"]},"cell_type":"markdown","source":"Editor|1641|1798|1916\n---|---|---|---\nSenan|0.55|0.4|0.3\nHenry|0.71|0.5|0.63"},{"metadata":{"tags":["hidden"]},"cell_type":"markdown","source":""},{"metadata":{"trusted":true},"cell_type":"code","source":"!pip install pandas","execution_count":3,"outputs":[{"output_type":"stream","text":"Collecting pandas\n Downloading pandas-1.3.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.3 MB)\n |████████████████████████████████| 11.3 MB 8.4 MB/s \n\u001b[?25hRequirement already satisfied: python-dateutil>=2.7.3 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (2.8.2)\nCollecting numpy>=1.17.3\n Downloading numpy-1.21.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.7 MB)\n |████████████████████████████████| 15.7 MB 63.6 MB/s ��██████████▎ | 14.4 MB 63.6 MB/s eta 0:00:01\n\u001b[?25hRequirement already satisfied: pytz>=2017.3 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (2021.3)\nRequirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.16.0)\nInstalling collected packages: numpy, pandas\nSuccessfully installed numpy-1.21.6 pandas-1.3.5\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"!pip install lux-api","execution_count":9,"outputs":[{"output_type":"stream","text":"Requirement already satisfied: lux-api in /srv/conda/envs/notebook/lib/python3.7/site-packages (0.5.1)\nRequirement already satisfied: numpy>=1.16.5 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from lux-api) (1.21.6)\nRequirement already satisfied: lux-widget>=0.1.4 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from lux-api) (0.1.11)\nRequirement already satisfied: autopep8>=1.5 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from lux-api) (1.6.0)\nRequirement already satisfied: sh in 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/srv/conda/envs/notebook/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.0.0->lux-widget>=0.1.4->lux-api) (0.5.1)\nRequirement already satisfied: pycparser in /srv/conda/envs/notebook/lib/python3.7/site-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->notebook>=4.0.0->lux-widget>=0.1.4->lux-api) (2.21)\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"!python -V","execution_count":4,"outputs":[{"output_type":"stream","text":"Python 3.7.12\r\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"import lux\nimport pandas as pd\ndf = pd.read_csv(\"https://raw.githubusercontent.com/C2DH/jdh-notebook/master/data/tweets.csv\",skiprows = 1)","execution_count":17,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!pip install seaborn","execution_count":15,"outputs":[{"output_type":"stream","text":"Collecting seaborn\n Downloading seaborn-0.11.2-py3-none-any.whl (292 kB)\n |████████████████████████████████| 292 kB 8.0 MB/s \n\u001b[?25hRequirement already satisfied: numpy>=1.15 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from seaborn) (1.21.6)\nRequirement already satisfied: matplotlib>=2.2 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from seaborn) (3.5.2)\nRequirement already satisfied: pandas>=0.23 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from seaborn) (1.3.5)\nRequirement already satisfied: scipy>=1.0 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from seaborn) (1.7.3)\nRequirement already satisfied: cycler>=0.10 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (0.11.0)\nRequirement already satisfied: fonttools>=4.22.0 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (4.33.3)\nRequirement already satisfied: packaging>=20.0 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (21.3)\nRequirement already satisfied: pillow>=6.2.0 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (9.1.1)\nRequirement already satisfied: pyparsing>=2.2.1 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (3.0.7)\nRequirement already satisfied: kiwisolver>=1.0.1 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (1.4.2)\nRequirement already satisfied: python-dateutil>=2.7 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (2.8.2)\nRequirement already satisfied: pytz>=2017.3 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas>=0.23->seaborn) (2021.3)\nRequirement already satisfied: typing-extensions in /srv/conda/envs/notebook/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib>=2.2->seaborn) (4.0.1)\nRequirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from python-dateutil>=2.7->matplotlib>=2.2->seaborn) (1.16.0)\nInstalling collected packages: seaborn\nSuccessfully installed seaborn-0.11.2\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"df = pd.read_csv(\"https://raw.githubusercontent.com/lux-org/lux-datasets/master/data/college.csv\")\ndf.head(5)","execution_count":20,"outputs":[{"output_type":"display_data","data":{"text/plain":"Button(description='Toggle Pandas/Lux', layout=Layout(top='5px', width='140px'), style=ButtonStyle())","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"ed149f44c6aa4c189556956e819951df"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"Output()","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"8fb8c8a2d1184f4b9d5e27da89ae03e7"}},"metadata":{}}]},{"metadata":{"jdh":{"module":"object","object":{"source":["figure 1: label for the figure 1"]}},"tags":["figure-1"],"trusted":true},"cell_type":"code","source":"fig = sns.displot(df, x=\"AdmissionRate\")","execution_count":21,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"celltoolbar":"Edit 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