Closed dmarx closed 7 years ago
Yup! Error bars is definitely the way to go. Demo code:
reddit_activity1 = go.Scatter(
x = df_is_russia['date'],
y = 100 * df_is_russia['rel_activity'],
text = df_is_russia['title'],
name = 'Russia Scandal',
mode ='markers',
hoverinfo ='text',
marker = dict(
color= df_is_russia['g_col'],
line = dict(
width = .5,
color = df_is_russia['line_color']
)
),
error_y=dict(
type='data',
array =0 * df_is_russia['rel_activity'],
arrayminus=100 * df_is_russia['rel_activity'],
color=df_is_russia['g_col'].iloc[0],
width=0,
opacity=1
),
)
reddit_activity2 = go.Scatter(
x = df_not_russia['date'],
y = 100 * df_not_russia['rel_activity'],
name = 'Misc News',
text = df_not_russia['title'],
mode ='markers',
hoverinfo ='text',
marker = dict(
color= df_not_russia['g_col'],
line = dict(
width = .5,
color = df_not_russia['line_color']
)
),
error_y=dict(
type='data',
array =0 * df_not_russia['rel_activity'],
arrayminus=100 * df_not_russia['rel_activity'],
color=df_not_russia['g_col'].iloc[0],
width=0,
opacity=1
),
)
# Put russia stories on top
series = [reddit_activity2, reddit_activity1] # start with points for hover over
layout = go.Layout(
title='Relative Reddit activity, colored by whether or not score/max(score) > n_comments/max(n_comments)',
hovermode='closest',
#showlegend=False,
yaxis=dict(ticksuffix='%'),
legend = legend_at_bottom
)
fig = go.Figure(data=series, layout=layout)
iplot(fig)
52e0cef
Some ideas how I might be able to plot things more cleanly: