Pytube_streamlit_check.ipynb

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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.offline as pyo\n",
    "import plotly.graph_objs as go\n",
    "import pandas as pd\n",
    "from scipy.interpolate import griddata\n",
    "import numpy as np\n",
    "\n",
    "df = pd.read_csv('https://raw.githubusercontent.com/christopherpaine/MDD/main/Mortality_tables/HMD_UK_males_1x1.csv',header=0)\n",
    "x, y, z = (np.array(df[df['Age']!='110+'][col], \n",
    "                    dtype=float) for col in ['Age', 'Year', 'qx'])\n",
    "xi, yi = np.linspace(x.min(), x.max(), 100), np.linspace(y.min(), y.max(), 100)\n",
    "X, Y = np.meshgrid(xi, yi)\n",
    "Z = griddata((x,y),z,(X,Y), method='cubic')\n",
    "fig = go.Figure(go.Surface(x=xi, y=yi, z=Z), \n",
    "                layout=dict(scene=dict(yaxis_type=\"log\")))\n",
    "fig.show()"
   ]
  }
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