replace import dash_bio as dash_bio with import dash_bio

Author: smallstepman

doc/python/bio-manhattanplot.md

@@ -38,12 +38,12 @@ ManhattanPlot allows you to visualize genome-wide association studies (GWAS) eff
 
 ```python
 import pandas as pd
-import dash_bio as dashbio
+import dash_bio 
 
 df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/manhattan_data.csv')
 
 
-dashbio.ManhattanPlot(
+dash_bio.ManhattanPlot(
     dataframe=df,
 )
 ```
@@ -53,12 +53,12 @@ Change the color of the points that are considered significant.
 
 ```python
 import pandas as pd
-import dash_bio as dashbio
+import dash_bio 
 
 
 df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/manhattan_data.csv')
 
-dashbio.ManhattanPlot(
+dash_bio.ManhattanPlot(
     dataframe=df,
     highlight_color='#00FFAA',
     suggestiveline_color='#AA00AA',

doc/python/bio-volcano-plot.md

@@ -57,11 +57,11 @@ Change the size of the points on the scatter plot, and the widths of the effect
 
 ```python
 import pandas as pd
-import dash_bio as dashbio
+import dash_bio 
 
 df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/volcano_data1.csv')
 
-dashbio.VolcanoPlot(
+dash_bio.VolcanoPlot(
     dataframe=df,
     point_size=10,
     effect_size_line_width=4,