Github pages for graphs

docs/source/dataprofiler.reports.graphs.rst

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+Graphs
+========================================
+
+.. automodule:: dataprofiler.reports.graphs
+   :members:
+   :undoc-members:
+   :show-inheritance:

docs/source/dataprofiler.reports.rst

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+Reports
+=========
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.reports.graphs
+
+.. automodule:: dataprofiler.reports
+   :members:
+   :undoc-members:
+   :show-inheritance:

docs/source/graphs.rst

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+.. _reports:
+
+Graphs
+********
+
+Graph Your Data
+=================
+
+We can plot some of our data as seaborn histogram plots. Below will demonstrate how to do so and provide examples.
+
+What we need to import
+~~~~~~~~~~~
+.. code-block:: python
+
+    from dataprofiler.reports import graphs
+
+The main functions that is used to plot histograms are in graphs. **You will also need the** "`dataprofiler[reports]`" **requirements to be installed**
+
+Plotting from a StructuredProfiler class
+~~~~~~~~~~~
+
+With a StructuredProfiler class variable, we can specify what columns we want to be plotted, and plot them into histograms.
+
+.. code-block:: python
+
+    graphs.plot_histograms(profiler, columns)
+
+These are what the variables mean:
+
+    * **profiler** - StructuredProfiler class variable that contains the data we want
+    * **columns** - (Optional) The list of IntColumn or FloatColumn we want to specifically plot.
+
+Plotting an individual IntColumn or FloatColumn
+~~~~~~~~~~~~~~
+
+Example uses a CSV file for example, but CSV, JSON, Avro or Parquet should also work.
+
+.. code-block:: python
+
+    graphs.plot_col_histogram(column, axes, title)
+
+These are what the variables mean:
+
+    * **column** - The IntColumn or FloatColumn we want to plot
+    * **axes** - (Optional) The axes we want to specify.
+    * **title** - (Optional) The title of the plot we want to define.
+
+Examples
+~~~~~~~~~~~~~~~~~
+
+1. This example demonstrates how we can take a StructuredProfiler class and plot histograms.
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    data = [[1, 'a', 1.0],
+            [2, 'b', 2.2],
+            [3, 'c', 3.5],
+            [None, 'd', 10.0]]
+    profiler = dp.StructuredProfiler(data)
+
+    # This will plot all IntColumn and FloatColumn as histograms (The first and last column).
+    graphs.plot_histograms(profiler)
+
+    # This will plot the specified, column 0, as a histogram.
+    column = [0]
+    graphs.plot_histograms(profiler, columns)
+
+* If a name is specified for a column, and you want to put that column as to be plotted, you would put the name of the column in columns. In this case, 0 is the name of the first column.
+
+2. This example demonstrates how we can plot a specific histogram.
+
+.. code-block:: python
+
+
+    data = pd.Series([1, 2, 3], dtype=str)
+    profiler = IntColumn('example')
+    profiler.update(data)
+
+    # We will plot a IntColumn as a histogram
+    graphs.plot_col_histogram(self.profiler)
+