在 plotly 文本注释中添加特定的选定字段

Question

I have a graph that looks like this:

I want to color the dots in the following way, one dot for every time the version is different, like for 0.1-SNAPSHOT there are 8 dots, but I only want the first one labelled and the rest just dots (without the version),similarly for all others.

This is how my data looks like:

        API_paths      info_version      Commit-growth  
24425   0             0.1-SNAPSHOT           52 
24424   20            0.1-SNAPSHOT           104    
24423   35            0.1-SNAPSHOT           156    
24422   50            0.1-SNAPSHOT           208    
24421   105           0.1-SNAPSHOT           260    
24420   119           0.1-SNAPSHOT           312    
24419   133           0.1-SNAPSHOT           364    
24576   0             0.1-SNAPSHOT           408    
24575   1             0.9.26 (BETA)          504    
24574   13            0.9.27 (BETA)          600    
24573   15            0.9.28 (BETA)          644    
24416   161           0.9.28                  28
24415   175           0.9.29                  29
24572   29            0.9.29 (BETA)          792    
24571   42            0.9.30 (BETA)          836    

Right now they are colored quite simple: fig = px.scatter(data1, x='Commit-growth', y='API_paths', color='info_version')

and annotated this way:

data1= final_api.query("info_title=='Cloudera Datalake Service'").sort_values(by='commitDate')
# data1['Year-Month'] = pd.to_datetime(final_api['Year-Month']) 
data1['Commit-growth']= data1['commits'].cumsum()

import plotly.graph_objects as go
fig = go.Figure()

fig = px.scatter(data1, x='commitDate', y='API_paths', color='info_version')
fig.add_trace(go.Scatter(mode='lines',
                         x=data1["commitDate"],
                         y=data1["API_paths"],
                         line_color='black',
                         line_width=0.6,
                         line_shape='vh',
                         showlegend=False
                       )
             )

for _,row in data1.iterrows():
    fig.add_annotation(
        go.layout.Annotation(
            x=row["commitDate"],
            y=row["API_paths"],
            text=row['info_version'],
            showarrow=False,
            align='center',
            yanchor='bottom',
            yshift=9,
            textangle=-90)
       )

fig.update_layout(template='plotly_white', title='Cloudera Datalake Service API Paths Growth',title_x=0.5,
                  xaxis_title='Number of Commit', yaxis_title='Number of Paths')
fig.update_traces(marker_size=10, marker_line_width=2, marker_line_color='black', showlegend=False, textposition='bottom center')

fig.show()

I am not sure how to achieve this, so I am a bit lost, any help will be appreciated.

Answer 1

Try creating a duplicate row of first occurrence to drive the text of your annotations.

df['dupe'] = df.info_version.where(~df.info_version.duplicated(), '')

|    |   API_paths | info_version   |   Commit-growth | dupe      |
|---:|------------:|:---------------|----------------:|:----------|
|  0 |           0 | 0.1-snap       |              52 | 0.1-snap  |
|  1 |          20 | 0.1-snap       |             104 |           |
|  2 |          35 | 0.1-snap       |             156 |           |
|  3 |          50 | 0.1-snap       |             208 |           |
|  4 |         105 | 0.1-snap       |             260 |           |
|  5 |         119 | 0.1-snap       |             312 |           |
|  6 |         133 | 0.1-snap       |             364 |           |
|  7 |           0 | 0.1-snap       |             408 |           |
|  8 |           1 | 0.9-other      |             504 | 0.9-other |
|  9 |          13 | 0.9-other      |             600 |           |
| 10 |          15 | 0.9-other      |             644 |           |
| 11 |         161 | 0.9-other      |              28 |           |
| 12 |         175 | 0.9-other      |              29 |           |
| 13 |          29 | 0.9-other      |             700 |           |
| 14 |          42 | 0.9-other      |             500 |           |