How to get rid of the background horizontal lines on this chart? The lines that represent the scales 5, 10, 15, etc. You can find the code below:
# Plotting waterfall chart for Years of Experience lost on DA Team
x_data = ['A', 'B', 'C', 'D', 'E']
y_data = [13, 23.5, 17.5, 10, 2.5] # y_data for positioning the annotations
text = ['27', '7', '5', '10', '5']
# Base
Base = go.Bar(x=x_data, y=[0, 20, 15, 5, 0], marker=dict(color='rgba(1,1,1, 0.0)',))
# Total
Total = go.Bar(x=x_data, y=[27, 0, 0, 0, 0], marker=dict(color='#003A6F',line=dict(color='k',width=1,)))
# Individuals
Individuals = go.Bar(x=x_data, y=[0, 7, 5, 10, 0], marker=dict( color='#FFE512',line=dict(color='k',width=1,)))
# Years of Experience Left
Years_left = go.Bar(x=x_data, y=[0, 0, 0, 0, 5], marker=dict(color='00AB39',line=dict(color='k',width=1,)))
# Put all traces in one "data" list
data = [Base, Total, Individuals, Years_left]
# Layout takes care of things like chart title, x and y axis titles and font sizes, etc.
layout = go.Layout(
title='Chart One',
barmode='stack',
yaxis=dict(title='Number of Years', titlefont=dict(size=yaxis_font_size)
, tickfont=dict(size=yaxis_font_size)),
xaxis=dict(title='Names', titlefont=dict(size=xaxis_font_size)
, tickfont=dict(size=yaxis_font_size)) ,
showlegend=False
)
annotations = []
annotations_colors = ['rgba(245, 246, 249, 1)', 'k', 'k', 'k', 'rgba(245, 246, 249, 1)'] # assign colors to annotations
for i in range(0, 5):
annotations.append(dict(x=x_data[i], y=y_data[i], text=text[i], font=dict(family='Arial', size=14, color=annotations_colors[i]), showarrow=False,))
layout['annotations'] = annotations
fig = go.Figure(data=data, layout=layout) # Standard plotly way to assign data and layout
iplot(fig, filename='Chart One')
Enlightening examples can be found at https://plot.ly/python/axes/
Simply add showgrid=False
to your yaxis
and xaxis
dictionaries.
All the dict options for your xaxis can be found at https://plot.ly/python/reference/#layout-xaxis (and the yaxis is similarly at https://plot.ly/python/reference/#layout-yaxis)