3. Matplotlib

  1. Click Matplotlib in the Visualization category.

  1. Import Options: Configure the default settings for the figure. Detailed settings are available under Chart Style in the Visualization category.

  2. Chart Type: Select a graph type.

* Additional Options: The options below are common to all graph styles.

  1. Title: Enter a title for your illustration.

  2. X Label, Y Label: Set the names of the axes.

  3. X Limit, Y Limit: Set the range of values to be displayed on the axis.

  4. Legend Title: Enter a title for the legend.

  5. Legend Labels: Add labels to the legend to explain the meaning of the plotted data.

  6. Legend Position: Choose a position for the legend.

  7. Save Figure: Save the figure. Use the file-shaped icon to set the path.


Line Plot

Bar Plot 1

Bar Plot 2

Histogram

Box Plot

Stack Plot

Pie Plot

Scatter Plot

Hexbin Plot

Contour Plot

Image Plot

Error Bar Plot


Line Plot

  1. X Value, Y Value: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. Chart Label: Add a label to describe the meaning of the plotted graph.

  3. Color: Check 'use color' and choose a color for the line.

  4. Marker: Choose a style for your marker.

  5. Line Style: Choose a style for the line.

  6. User Option: You can add additional code beyond the functionality provided by Visual Python.


Bar Plot 1

  1. X Value, Height: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. Chart Label: Add a label to describe the meaning of the output graph.

  3. Color: Check 'use color' and choose a color for the graph.

  4. Line Style: Choose a style for the line.

  5. User Option: You can add additional code beyond the functionality provided by Visual Python.


Bar Plot 2

  1. Y Value, Width: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. Chart Label: Add a label to describe the meaning of the output graph.

  3. Color: Check 'use color' and choose a color for the graph.

  4. Line Style: Choose a style for the line.

  5. User Option: You can add additional code beyond the functionality provided by Visual Python.


Histogram

  1. Value: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. Bins: Set the interval (bin size) at which you want to divide your data.

  3. Chart Label: Add a label to describe the meaning of the output graph.

  4. Color: Check 'use color' and choose a color for the graph.

  5. Line Style: Choose a style for the line.

  6. User Option: You can add additional code beyond the functionality provided by Visual Python.


Box Plot

  1. Value: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. User Option: You can add additional code beyond what Visual Python provides.


Stack Plot

  1. Value: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. Color: Check 'use color' and choose a color for the graph.

  3. Line Style: Choose a style for the line.

  4. User Option: You can add additional code beyond the functionality provided by Visual Python.


Pie Plot

  1. Value: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. User Option: You can add additional code beyond the functionality provided by Visual Python.


Scatter Plot

  1. Value: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. Color Map: Choose a color theme for mapping your data.

  3. Marker: Choose a style for your marker.

  4. User Option: You can add additional code beyond the functionality provided by Visual Python.


Hexbin

  1. Value: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. Chart Label: Add a label to describe the meaning of the output graph.

  3. Color: Check 'use color' and choose a color for the graph.

  4. User Option: You can add additional code beyond the functionality provided by Visual Python.


Contour Plot

  1. Value: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. Color Map: Choose a color theme for mapping your data.

  3. Chart Label: Add a label to describe the meaning of the output graph.

  4. User Option: You can add additional code beyond the functionality provided by Visual Python.


Image Plot

  1. Value: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. Extent: Set the image display area.

  3. Origin: Select the origin location of the image. If set to "lower", it will be at the bottom of the coordinate plane, and if set to "upper", it will be at the top.

  4. Color Map: Choose a color theme for mapping your data.

  5. User Option: You can add additional code beyond the functionality provided by Visual Python.


Error Bar Plot

  1. Value: Select the data you want to graph. Use the funnel icon to select a specific column.

  2. User Option: You can add additional code beyond the functionality provided by Visual Python.

Last updated