def add_volcano(self):
"""
As of version 0.13, we will use Javascript directly.
# this can be pretty slow. so keep only 1000 most relevant
# values and 1000 random ones to get an idea of the distribution
v = VolcanoANOVA(self.report.df, settings=self.settings)
#v.selector(v.df, 1500, 1500, inplace=True)
v.volcano_plot_all()
v.savefig("volcano_all_js")
self.jinja['volcano'] = '''
<h3></h3>
<a href="volcano_all_js.html">
<img alt="volcano plot for all associations"
src="volcano_all_js.png">
</a>
<br/>
<p> A javascript version is available
<a href="volcano_all_js.html">here</a> (
or click on the image).</p>
'''
"""
v = VolcanoANOVAJS(self.report.df, settings=self.settings)
self.jinja['volcano_jsdata'] = v.render_all()
def add_volcano(self):
"""
As of version 0.13, we will use Javascript directly.
# this can be pretty slow. so keep only 1000 most relevant
# values and 1000 random ones to get an idea of the distribution
v = VolcanoANOVA(self.report.df, settings=self.settings)
#v.selector(v.df, 1500, 1500, inplace=True)
v.volcano_plot_all()
v.savefig("volcano_all_js")
self.jinja['volcano'] = '''
<h3></h3>
<a href="volcano_all_js.html">
<img alt="volcano plot for all associations"
src="volcano_all_js.png">
</a>
<br/>
<p> A javascript version is available
<a href="volcano_all_js.html">here</a> (
or click on the image).</p>
'''
"""
v = VolcanoANOVAJS(self.report.df, settings=self.settings)
self.jinja['volcano_jsdata'] = v.render_all()
def create_pictures(self):
v = VolcanoANOVAJS(self.df, settings=self.settings)
html = v.render_drug(self.drug)
return html
def create_pictures(self):
v = VolcanoANOVAJS(self.df, settings=self.settings)
html = v.render_drug(self.drug)
return html
