How to plot multiple lines on the same y-axis using Plotly Express in Python

How to plot multiple lines on the same y-axis using Plotly Express in Python

Plotly Express is a high-level visualization library in Python that makes it easy to create interactive plots. To plot multiple lines on the same y-axis using Plotly Express, you can follow these steps:

  1. Import Required Libraries: First, import the necessary libraries: plotly.express for creating the plots and pandas to manage the data.

    import pandas as pd import plotly.express as px

  2. Prepare Data: Create a pandas DataFrame with the data you want to plot. Each column should represent a line you want to plot.

    data = { 'x': [1, 2, 3, 4, 5], 'y1': [10, 15, 7, 12, 8], 'y2': [5, 9, 14, 7, 11] } df = pd.DataFrame(data)

  3. Create the Plot: Use px.line() to create the line plot. Pass the DataFrame, specify the x-axis column, and use the y parameter to specify the columns you want to plot as lines.

    fig = px.line(df, x='x', y=['y1', 'y2'])

  4. Customize the Plot: You can customize the plot appearance and add labels, titles, and other attributes.

    fig.update_layout( title='Multiple Lines Plot', xaxis_title='X-axis', yaxis_title='Y-axis', legend_title='Legend' )

  5. Show the Plot: Display the plot using fig.show().

    fig.show()

Here's the complete code together:

import pandas as pd import plotly.express as px data = { 'x': [1, 2, 3, 4, 5], 'y1': [10, 15, 7, 12, 8], 'y2': [5, 9, 14, 7, 11] } df = pd.DataFrame(data) fig = px.line(df, x='x', y=['y1', 'y2']) fig.update_layout( title='Multiple Lines Plot', xaxis_title='X-axis', yaxis_title='Y-axis', legend_title='Legend' ) fig.show()

This will create an interactive plot with two lines plotted on the same y-axis, labeled with their respective y-column names. You can further customize the plot based on your needs using Plotly Express's rich set of features.

Examples

  1. "Plotly Express plot multiple lines example"

    • Description: This query seeks a basic example demonstrating how to plot multiple lines on the same y-axis using Plotly Express.
    import plotly.express as px import pandas as pd # Assuming df is your dataframe containing multiple lines data fig = px.line(df, x='x_values', y=['y_values_1', 'y_values_2'], title='Multiple Lines with Plotly Express') fig.show()

  2. "Plotly Express plot multiple lines with custom colors"

    • Description: This query focuses on plotting multiple lines with custom colors using Plotly Express.
    import plotly.express as px import pandas as pd # Assuming df is your dataframe containing multiple lines data fig = px.line(df, x='x_values', y=['y_values_1', 'y_values_2'], color_discrete_sequence=['blue', 'red'], title='Multiple Lines with Custom Colors') fig.show()

  3. "Plotly Express plot multiple lines with markers"

    • Description: This query seeks to add markers to the lines while plotting multiple lines with Plotly Express.
    import plotly.express as px import pandas as pd # Assuming df is your dataframe containing multiple lines data fig = px.line(df, x='x_values', y=['y_values_1', 'y_values_2'], markers=True, title='Multiple Lines with Markers') fig.show()

  4. "Plotly Express plot multiple lines with line dash styles"

    • Description: This query aims to plot multiple lines with different line dash styles using Plotly Express.
    import plotly.express as px import pandas as pd # Assuming df is your dataframe containing multiple lines data fig = px.line(df, x='x_values', y=['y_values_1', 'y_values_2'], line_dash_sequence=['dash', 'dot'], title='Multiple Lines with Line Dash Styles') fig.show()

  5. "Plotly Express plot multiple lines with different line widths"

    • Description: This query focuses on plotting multiple lines with varying line widths using Plotly Express.
    import plotly.express as px import pandas as pd # Assuming df is your dataframe containing multiple lines data fig = px.line(df, x='x_values', y=['y_values_1', 'y_values_2'], line_group='group', width=[2, 3], title='Multiple Lines with Different Line Widths') fig.show()

  6. "Plotly Express plot multiple lines with legend"

    • Description: This query seeks to include a legend to differentiate between multiple lines plotted using Plotly Express.
    import plotly.express as px import pandas as pd # Assuming df is your dataframe containing multiple lines data fig = px.line(df, x='x_values', y=['y_values_1', 'y_values_2'], line_group='group', title='Multiple Lines with Legend') fig.update_traces(showlegend=True) fig.show()

  7. "Plotly Express plot multiple lines with logarithmic y-axis"

    • Description: This query focuses on plotting multiple lines with a logarithmic y-axis scale using Plotly Express.
    import plotly.express as px import pandas as pd # Assuming df is your dataframe containing multiple lines data fig = px.line(df, x='x_values', y=['y_values_1', 'y_values_2'], log_y=True, title='Multiple Lines with Logarithmic Y-axis') fig.show()

  8. "Plotly Express plot multiple lines with trendlines"

    • Description: This query aims to include trendlines while plotting multiple lines using Plotly Express.
    import plotly.express as px import pandas as pd # Assuming df is your dataframe containing multiple lines data fig = px.line(df, x='x_values', y=['y_values_1', 'y_values_2'], trendline='ols', title='Multiple Lines with Trendlines') fig.show()

  9. "Plotly Express plot multiple lines with shaded areas"

    • Description: This query seeks to shade specific areas under the curves of plotted multiple lines using Plotly Express.
    import plotly.express as px import pandas as pd # Assuming df is your dataframe containing multiple lines data fig = px.area(df, x='x_values', y=['y_values_1', 'y_values_2'], title='Multiple Lines with Shaded Areas') fig.show()

  10. "Plotly Express plot multiple lines with hover labels"

    • Description: This query focuses on adding hover labels to the multiple lines plotted using Plotly Express.
    import plotly.express as px import pandas as pd # Assuming df is your dataframe containing multiple lines data fig = px.line(df, x='x_values', y=['y_values_1', 'y_values_2'], hover_name='line_name', title='Multiple Lines with Hover Labels') fig.show()

More Tags

scalability runtime-error aiohttp rfc5766turnserver tabbar angular2-services django-2.0 android-sdk-tools actionlistener visualization

More Python Questions

More Tax and Salary Calculators

More Geometry Calculators

More Chemical reactions Calculators

More Financial Calculators