Reinforcement_Learning.ipynb

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      "source": "!pip install pandas-profiling",
      "execution_count": 3,
      "outputs": [
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          "output_type": "stream",
          "text": "Collecting pandas-profiling\n\u001b[?25l  Downloading https://files.pythonhosted.org/packages/1d/08/1f614fb2d31b59cd69896b900044c8d7119389b9151983a872d047ea021f/pandas-profiling-2.4.0.tar.gz (150kB)\n\u001b[K     |████████████████████████████████| 153kB 1.9MB/s eta 0:00:01\n\u001b[?25hRequirement already satisfied: pandas>=0.19 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas-profiling) (0.23.4)\nRequirement already satisfied: matplotlib>=1.4 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas-profiling) (3.0.0)\nCollecting confuse>=1.0.0\n  Downloading https://files.pythonhosted.org/packages/4c/6f/90e860cba937c174d8b3775729ccc6377eb91f52ad4eeb008e7252a3646d/confuse-1.0.0.tar.gz\nRequirement already satisfied: jinja2>=2.8 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pandas-profiling) (2.10)\nCollecting htmlmin>=0.1.12\n  Downloading 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importlib-metadata>=0.12; python_version < \"3.8\"\n  Downloading https://files.pythonhosted.org/packages/d7/31/74dcb59a601b95fce3b0334e8fc9db758f78e43075f22aeb3677dfb19f4c/importlib_metadata-1.4.0-py2.py3-none-any.whl\nRequirement already satisfied: more-itertools>=4.0.0 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pytest>=4.0.2->phik>=0.9.8->pandas-profiling) (4.3.0)\nRequirement already satisfied: packaging in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pytest>=4.0.2->phik>=0.9.8->pandas-profiling) (18.0)\nRequirement already satisfied: pylint>=1.4.5 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pytest-pylint>=0.13.0->phik>=0.9.8->pandas-profiling) (2.1.1)\nRequirement already satisfied: llvmlite>=0.25.0dev0 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from numba>=0.38.1->phik>=0.9.8->pandas-profiling) (0.25.0)\nRequirement already satisfied: pandocfilters>=1.4.1 in 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          "text": "Collecting zipp>=0.5\n  Downloading https://files.pythonhosted.org/packages/be/69/4ac28bf238f287f1677f41392e24d2c4ffafcf11648c23824f5f62ef6ccb/zipp-2.1.0-py3-none-any.whl\nRequirement already satisfied: astroid>=2.0.0 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pylint>=1.4.5->pytest-pylint>=0.13.0->phik>=0.9.8->pandas-profiling) (2.0.4)\nRequirement already satisfied: isort>=4.2.5 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pylint>=1.4.5->pytest-pylint>=0.13.0->phik>=0.9.8->pandas-profiling) (4.3.4)\nRequirement already satisfied: mccabe in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from pylint>=1.4.5->pytest-pylint>=0.13.0->phik>=0.9.8->pandas-profiling) (0.6.1)\nRequirement already satisfied: jsonschema!=2.5.0,>=2.4 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from nbformat>=4.4->nbconvert>=5.3.1->phik>=0.9.8->pandas-profiling) (2.6.0)\nRequirement already satisfied: html5lib!=0.9999,!=0.99999,<0.99999999,>=0.999 in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from bleach->nbconvert>=5.3.1->phik>=0.9.8->pandas-profiling) (0.9999999)\nRequirement already satisfied: lazy_object_proxy in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from astroid>=2.0.0->pylint>=1.4.5->pytest-pylint>=0.13.0->phik>=0.9.8->pandas-profiling) (1.3.1)\nRequirement already satisfied: wrapt in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from astroid>=2.0.0->pylint>=1.4.5->pytest-pylint>=0.13.0->phik>=0.9.8->pandas-profiling) (1.11.2)\nRequirement already satisfied: typed_ast in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from astroid>=2.0.0->pylint>=1.4.5->pytest-pylint>=0.13.0->phik>=0.9.8->pandas-profiling) (1.1.0)\nBuilding wheels for collected packages: pandas-profiling, confuse, htmlmin\n  Building wheel for pandas-profiling (setup.py) ... \u001b[?25ldone\n\u001b[?25h  Created wheel for pandas-profiling: filename=pandas_profiling-2.4.0-py2.py3-none-any.whl size=200184 sha256=37cd0e46586d39f7adbc65d65b4bd1601b03c4b2fe7b0144d0f28c85c84588c3\n  Stored in directory: /home/nbuser/.cache/pip/wheels/b2/4b/40/ff4633a59f4e7fbdfec19b8e10e353b54b5eef125c31afe51a\n  Building wheel for confuse (setup.py) ... \u001b[?25ldone\n\u001b[?25h  Created wheel for confuse: filename=confuse-1.0.0-cp36-none-any.whl size=19566 sha256=47355d5e05621f8c22b18daed5169d1fcd1151dbf108ac16e06d10db9c4498fb\n  Stored in directory: /home/nbuser/.cache/pip/wheels/b0/b2/96/2074eee7dbf7b7df69d004c9b6ac4e32dad04fb7666cf943bd\n  Building wheel for htmlmin (setup.py) ... \u001b[?25ldone\n\u001b[?25h  Created wheel for htmlmin: filename=htmlmin-0.1.12-cp36-none-any.whl size=27185 sha256=6eb448ef5cfdcc599f0fe801503af1d3d1e64fbe3e4ccbec5c8b3017044310d6\n  Stored in directory: /home/nbuser/.cache/pip/wheels/43/07/ac/7c5a9d708d65247ac1f94066cf1db075540b85716c30255459\nSuccessfully built pandas-profiling confuse htmlmin\nInstalling collected packages: confuse, htmlmin, missingno, zipp, importlib-metadata, pluggy, pytest, pytest-pylint, phik, pandas-profiling\n  Found existing installation: pluggy 0.7.1\n    Uninstalling pluggy-0.7.1:\n      Successfully uninstalled pluggy-0.7.1\n  Found existing installation: pytest 3.8.2\n    Uninstalling pytest-3.8.2:\n      Successfully uninstalled pytest-3.8.2\nSuccessfully installed confuse-1.0.0 htmlmin-0.1.12 importlib-metadata-1.4.0 missingno-0.4.2 pandas-profiling-2.4.0 phik-0.9.8 pluggy-0.13.1 pytest-5.3.4 pytest-pylint-0.14.1 zipp-2.1.0\n\u001b[33mWARNING: You are using pip version 19.3.1; however, version 20.0.2 is available.\nYou should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n",
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      "cell_type": "code",
      "source": "import numpy as np\nimport pandas as pd\nimport seaborn as sns\nimport gym",
      "execution_count": 4,
      "outputs": []
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        "trusted": true
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      "cell_type": "code",
      "source": "import pandas_profiling",
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      "source": "profile = ProfileReport(Data, title='Pandas Profiling Report', html={'style':{'full_width':True}})",
      "execution_count": null,
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      "source": "profile.to_file(output_file=\"your_report.html\")",
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