Want different colors of plots on one plot

📊 Plotly Python
1

I’m encountering an issue with a size-based graph I’m creating using Plotly Express. I’m using the provided code to generate a scattermapbox figure with dots representing different sentiment types. The goal is to assign colors to the dots based on the maximum sentiment type present at each location.

Here’s the relevant code snippet I’m using:

#maximum value  for EMPLOYMENT
# Create dictionaries to store the maximum values for each sentiment type at each location
    max_values = {}

# Iterate over the infpos, infneg, and infneu lists
    for item in emppos + empneg + empneu:
        location = (item[1], item[2])
        sentiment = item[0]
        value = item[3]

        # Check if the location is already in the dictionary
        if location in max_values:
            # Update the maximum value for the corresponding sentiment type
            if value > max_values[location][1]:
                max_values[location] = (sentiment, value)
        else:
            # Add the location and its sentiment type with the initial value as maximum
            max_values[location] = (sentiment, value)

  # Create lists to store the latitude, longitude, sentiment, magnitude, and color for each location
    latitudes = []
    longitudes = []
    sentiments = []
    magnitudes = []
    colors = []
    dot_sizes = []

    

    # Iterate over the maximum values dictionary
    for location, (sentiment, value) in max_values.items():
        latitudes.append(location[0])
        longitudes.append(location[1])
        sentiments.append(sentiment)
        magnitudes.append(value)

        # Find the maximum sentiment type
        max_sentiment = max(sentiments, key=lambda x: magnitudes[sentiments.index(x)])

    # Calculate the dot size based on the magnitude
        dot_sizes.append(value / 2)

    # Assign the color based on the sentiment type
        if sentiment == 'emppos':
            colors.append('green' if sentiment == max_sentiment else 'lightgreen')
        elif sentiment == 'empneg':
            colors.append('red' if sentiment == max_sentiment else 'pink')
        elif sentiment == 'empneu':
            colors.append('orange' if sentiment == max_sentiment else 'lightorange')


    # Create a scattermapbox figure with all the locations, colors, and hover information
    fig70 = go.Figure(
        go.Scattermapbox(
            lat=latitudes,
            lon=longitudes,
            mode='markers',
            marker=dict(
                size=dot_sizes,
                color='blue',
                opacity=0.8
            ),
            text=[f"{sentiment}<br>Magnitude: {magnitude}" for sentiment, magnitude in zip(sentiments, magnitudes)],
            hoverinfo='text'
        )
    )

    fig70.update_layout(
        mapbox=dict(
            style='stamen-toner',
            center=dict(lat=30.418333, lon=70.360278),
            zoom=3.8
        ),
        title='<b>MAXIMUM SENTIMENT VALUES</b>',
        title_x=0.5,
        title_y=0.95
    )

    graph68JSON = json.dumps(fig70, cls=plotly.utils.PlotlyJSONEncoder)

The issue I’m facing is that all the dots are being displayed in black color or any one color(e.g blue) which i specify in “go.scattermapbox(marker=dict(color=‘blue’)”, regardless of the maximum sentiment type. I want the dots to be displayed in different colors based on the maximum sentiment type at each location (e.g., green for ‘infpos’, red for ‘infneg’, and yellow for ‘infneu’).

I would greatly appreciate any guidance or suggestions on how to resolve this issue. Thank you!