07-ExpandingTheWorkflow_Visualize.ipynb

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    "# Visualization Tools\n",
    "## Introduction\n",
    "There are a ton of visualization tools you can use to look at your data. Here's a quick overview of a few and sample functions that we can use in our workflow.  \n",
    "\n",
    "First, let's load in our data.\n"
   ]
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    "from pythonv2.modules import *\n",
    "\n",
    "usgs_data = acquire_streamflow_nwis_iv(site='04294000', start='2016-06-01', end='2016-11-01')"
   ]
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    "## The Original: matplotlib\n",
    "[Documentation](https://matplotlib.org/)\n",
    "\n",
    "Matplotlib has been around forever and is actually used as the core to build a few of the other visualizations tools we'll show off here. It's very flexible, but admitingly, the graphics are a bit dated.\n"
   ]
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    "import matplotlib.pyplot as plt\n",
    "\n",
    "def visualize_matplotlib(series):\n",
    "    fig, ax = plt.subplots()\n",
    "    ax.plot(series, linewidth=2.0)\n",
    "    ax.set_title(series.name)\n",
    "    plt.show()\n",
    "\n",
    "visualize_matplotlib(usgs_data)"
   ]
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    "## seaborn\n",
    "[Documentation](https://seaborn.pydata.org/)\n",
    "\n",
    "seaborn is one of those visualization tools that's built off of matplotlib. It is focused on statisticial graphics.\n"
   ]
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    "import seaborn as sns\n",
    "\n",
    "def visualize_seaborn(series):\n",
    "    sns.lineplot(series)\n",
    "\n",
    "visualize_seaborn(usgs_data)"
   ]
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    "## HoloViews\n",
    "[Documentation](https://holoviews.org/)\n",
    "\n",
    "HoloViews is focused on data analysis and provides a number of tools to slice up your data in various ways. \n",
    "\n",
    "Note that HoloViews doesn't work great inside a function as it can generate the figure, but can't display it inside the function currently."
   ]
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    "import holoviews as hv\n",
    "\n",
    "def visualize_holoviews(series):\n",
    "    return hv.Curve(series)\n",
    "\n",
    "hv.render(visualize_holoviews(usgs_data))"
   ]
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    "## Plotly\n",
    "[Documentation](https://plotly.com/python/)\n",
    "\n",
    "Plotly is a cross-platform visualization engine that comes from a web-focused background. You can use plotly.express for quick images, or Dash to build more complex visualizations. Note how the resulting figure is interactive."
   ]
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   "source": [
    "import plotly.express as px\n",
    "\n",
    "def visualize_plotly(series):\n",
    "    fig = px.line(series, title=series.name)\n",
    "    fig.show()\n",
    "\n",
    "visualize_plotly(usgs_data)"
   ]
  }
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