Using widgets.ipynb

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       "interactive(children=(FloatSlider(value=0.0, description='Min Elevation', max=1.0, step=0.01), FloatSlider(val…"
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       "<function __main__.display_topography(min_elevation, max_elevation)>"
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   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from ipywidgets import interact, FloatSlider\n",
    "\n",
    "# Define the size of the topography\n",
    "nx, ny = 100, 100\n",
    "\n",
    "# Create a 2D array of random values\n",
    "elevation = np.random.rand(nx, ny)\n",
    "\n",
    "# Define the function to display the topography\n",
    "def display_topography(min_elevation, max_elevation):\n",
    "    plt.imshow(elevation, cmap='terrain', vmin=min_elevation, vmax=max_elevation)\n",
    "    plt.colorbar()\n",
    "    plt.show()\n",
    "\n",
    "# Create the elevation range sliders\n",
    "min_elevation_slider = FloatSlider(min=0, max=1, step=0.01, value=0, description='Min Elevation')\n",
    "max_elevation_slider = FloatSlider(min=0, max=1, step=0.01, value=1, description='Max Elevation')\n",
    "\n",
    "# Use the `interact` function to create the interactive visualization\n",
    "interact(display_topography, min_elevation=min_elevation_slider, max_elevation=max_elevation_slider)\n"
   ]
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       "interactive(children=(IntRangeSlider(value=(2010, 2019), description='Year Range', max=2019, min=2010), Output…"
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     "data": {
      "text/plain": [
       "<function __main__.plot_timeseries(year_range)>"
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     "execution_count": 21,
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   ],
   "source": [
    "import numpy as np\n",
    "from ipywidgets import IntRangeSlider, interact\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# generate synthetic data\n",
    "years = np.arange(2010, 2020)\n",
    "values = np.random.rand(10)\n",
    "\n",
    "# create a function to plot the time series\n",
    "def plot_timeseries(year_range):\n",
    "    start_year, end_year = year_range\n",
    "    data_range = (years >= start_year) & (years <= end_year)\n",
    "    plt.plot(years[data_range], values[data_range])\n",
    "    plt.xlabel('Year')\n",
    "    plt.ylabel('Value')\n",
    "    plt.show()\n",
    "\n",
    "# create a widget to control the year range\n",
    "year_range_slider = IntRangeSlider(value=[2010, 2020], min=2010, max=2019, step=1, description='Year Range')\n",
    "\n",
    "# use the interact function to link the function with the widget\n",
    "interact(plot_timeseries, year_range=year_range_slider)\n"
   ]
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