How to draw a multiple line chart using plotly_express?

How to draw a multiple line chart using plotly_express?

To draw a multiple line chart using Plotly Express, you can use the line function and provide the data in a tidy DataFrame format. Here's how you can do it:

import plotly.express as px import pandas as pd # Sample data data = { 'x': [1, 2, 3, 4, 5], 'y1': [10, 15, 13, 17, 20], 'y2': [5, 8, 12, 14, 18], 'y3': [2, 6, 10, 12, 16] } # Create a DataFrame df = pd.DataFrame(data) # Create a multiple line chart fig = px.line(df, x='x', y=['y1', 'y2', 'y3'], title='Multiple Line Chart') # Show the plot fig.show()

In this example:

  • The data dictionary contains three sets of data (y1, y2, and y3) along with their corresponding x-values.
  • The data is organized in a DataFrame named df in a tidy format.
  • px.line is used to create the line chart. The x parameter specifies the x-axis values, and the y parameter specifies the y-axis values. You provide a list of column names to y to create multiple lines.
  • The title parameter sets the title of the chart.
  • Finally, fig.show() displays the chart.

This will create a line chart with multiple lines, each representing a different set of y-values. You can customize the appearance and layout of the chart using additional parameters provided by Plotly Express.

Examples

  1. How to draw a basic multiple line chart using plotly_express?

    Description: Drawing a basic multiple line chart using plotly_express involves providing a DataFrame containing the data and specifying the x and y columns.

    import plotly.express as px import pandas as pd # Create a DataFrame with sample data df = pd.DataFrame({ "x": [1, 2, 3, 4, 5], "y1": [10, 15, 13, 17, 18], "y2": [8, 12, 14, 16, 20] }) # Plot multiple lines fig = px.line(df, x="x", y=["y1", "y2"], title="Multiple Line Chart") fig.show()

  2. How to draw a multiple line chart with custom line colors using plotly_express?

    Description: Drawing a multiple line chart with custom line colors using plotly_express involves specifying the color parameter.

    import plotly.express as px import pandas as pd # Create a DataFrame with sample data df = pd.DataFrame({ "x": [1, 2, 3, 4, 5], "y1": [10, 15, 13, 17, 18], "y2": [8, 12, 14, 16, 20] }) # Plot multiple lines with custom colors fig = px.line(df, x="x", y=["y1", "y2"], title="Multiple Line Chart", color_discrete_sequence=["blue", "green"]) fig.show()

  3. How to draw a multiple line chart with markers using plotly_express?

    Description: Drawing a multiple line chart with markers using plotly_express involves specifying the markers parameter.

    import plotly.express as px import pandas as pd # Create a DataFrame with sample data df = pd.DataFrame({ "x": [1, 2, 3, 4, 5], "y1": [10, 15, 13, 17, 18], "y2": [8, 12, 14, 16, 20] }) # Plot multiple lines with markers fig = px.line(df, x="x", y=["y1", "y2"], title="Multiple Line Chart", markers=True) fig.show()

  4. How to draw a stacked multiple line chart using plotly_express?

    Description: Drawing a stacked multiple line chart using plotly_express involves setting the stackgroup parameter.

    import plotly.express as px import pandas as pd # Create a DataFrame with sample data df = pd.DataFrame({ "x": [1, 2, 3, 4, 5], "y1": [10, 15, 13, 17, 18], "y2": [8, 12, 14, 16, 20] }) # Plot stacked multiple lines fig = px.line(df, x="x", y=["y1", "y2"], title="Stacked Multiple Line Chart", color_discrete_sequence=px.colors.qualitative.Plotly) fig.update_traces(mode="lines", stackgroup="one") fig.show()

  5. How to draw a multiple line chart with a legend using plotly_express?

    Description: Drawing a multiple line chart with a legend using plotly_express is the default behavior.

    import plotly.express as px import pandas as pd # Create a DataFrame with sample data df = pd.DataFrame({ "x": [1, 2, 3, 4, 5], "y1": [10, 15, 13, 17, 18], "y2": [8, 12, 14, 16, 20] }) # Plot multiple lines with legend fig = px.line(df, x="x", y=["y1", "y2"], title="Multiple Line Chart with Legend") fig.show()

  6. How to draw a multiple line chart with a log scale using plotly_express?

    Description: Drawing a multiple line chart with a log scale using plotly_express involves setting the log_y parameter.

    import plotly.express as px import pandas as pd # Create a DataFrame with sample data df = pd.DataFrame({ "x": [1, 2, 3, 4, 5], "y1": [10, 15, 13, 17, 18], "y2": [8, 12, 14, 16, 20] }) # Plot multiple lines with log scale fig = px.line(df, x="x", y=["y1", "y2"], title="Multiple Line Chart with Log Scale", log_y=True) fig.show()

  7. How to draw a multiple line chart with a custom title using plotly_express?

    Description: Drawing a multiple line chart with a custom title using plotly_express involves setting the title parameter.

    import plotly.express as px import pandas as pd # Create a DataFrame with sample data df = pd.DataFrame({ "x": [1, 2, 3, 4, 5], "y1": [10, 15, 13, 17, 18], "y2": [8, 12, 14, 16, 20] }) # Plot multiple lines with custom title fig = px.line(df, x="x", y=["y1", "y2"], title="Custom Title for Multiple Line Chart") fig.show()

  8. How to draw a multiple line chart with a custom x-axis label using plotly_express?

    Description: Drawing a multiple line chart with a custom x-axis label using plotly_express involves setting the labels parameter.

    import plotly.express as px import pandas as pd # Create a DataFrame with sample data df = pd.DataFrame({ "x": [1, 2, 3, 4, 5], "y1": [10, 15, 13, 17, 18], "y2": [8, 12, 14, 16, 20] }) # Plot multiple lines with custom x-axis label fig = px.line(df, x="x", y=["y1", "y2"], title="Multiple Line Chart with Custom X-axis Label", labels={"x": "Custom X-axis Label"}) fig.show()

  9. How to draw a multiple line chart with a custom y-axis label using plotly_express?

    Description: Drawing a multiple line chart with a custom y-axis label using plotly_express involves setting the labels parameter.

    import plotly.express as px import pandas as pd # Create a DataFrame with sample data df = pd.DataFrame({ "x": [1, 2, 3, 4, 5], "y1": [10, 15, 13, 17, 18], "y2": [8, 12, 14, 16, 20] }) # Plot multiple lines with custom y-axis label fig = px.line(df, x="x", y=["y1", "y2"], title="Multiple Line Chart with Custom Y-axis Label", labels={"y": "Custom Y-axis Label"}) fig.show()

  10. How to draw a multiple line chart with a custom axis range using plotly_express?

    Description: Drawing a multiple line chart with a custom axis range using plotly_express involves setting the range parameter.

    import plotly.express as px import pandas as pd # Create a DataFrame with sample data df = pd.DataFrame({ "x": [1, 2, 3, 4, 5], "y1": [10, 15, 13, 17, 18], "y2": [8, 12, 14, 16, 20] }) # Plot multiple lines with custom axis range fig = px.line(df, x="x", y=["y1", "y2"], title="Multiple Line Chart with Custom Axis Range", range_y=[0, 25]) fig.show()

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