diff --git a/docs/conf.py b/docs/conf.py
index ff15942a..0c3c7814 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -60,14 +60,14 @@
 
 # Sphinx gallery configuration
 subsection_order = ExplicitOrder([
-    '../plot_types/basic',
-    '../plot_types/statistical',
-    '../plot_types/gridded',
-    '../plot_types/map',
-    '../examples/line_plots',
-    '../examples/scatter_plots',
-    '../examples/histograms',
-    '../examples/map_plots'
+    '../galleries/plot_types/basic',
+    '../galleries/plot_types/statistical',
+    '../galleries/plot_types/gridded',
+    '../galleries/plot_types/map',
+    '../galleries/examples/line_plots',
+    '../galleries/examples/scatter_plots',
+    '../galleries/examples/histograms',
+    '../galleries/examples/map_plots'
 ])
 
 sphinx_gallery_conf = {
diff --git a/galleries/examples/histograms/histogram.py b/galleries/examples/histograms/histogram.py
deleted file mode 100644
index d345dbee..00000000
--- a/galleries/examples/histograms/histogram.py
+++ /dev/null
@@ -1,46 +0,0 @@
-"""
-Creating a simple histogram
----------------------------
-
-Below is an example of how to plot a basic
-histogram plot using EMCPy's plotting method.
-
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-from emcpy.plots.plots import Histogram
-from emcpy.plots.create_plots import CreatePlot, CreateFigure
-
-
-def main():
-    # Generate test data for histogram plots
-    mu = 100  # mean of distribution
-    sigma = 15  # standard deviation of distribution
-    data = mu + sigma * np.random.randn(437)
-
-    # Create histogram object
-    hst = Histogram(data)
-    hst.color = 'tab:green'
-    hst.alpha = 0.7
-    hst.label = 'data'
-
-    # Create histogram plot object and add features
-    plot1 = CreatePlot()
-    plot1.plot_layers = [hst]
-    plot1.add_title(label='Test Histogram Plot')
-    plot1.add_xlabel(xlabel='X Axis Label')
-    plot1.add_ylabel(ylabel='Y Axis Label')
-    plot1.add_legend()
-
-    # Create figure and save as png
-    fig = CreateFigure()
-    fig.plot_list = [plot1]
-    fig.create_figure()
-
-    plt.show()
-
-
-if __name__ == '__main__':
-    main()