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Matplotlib annotate location of arrow relative to text
Matplotlib annotate location of arrow relative to text






matplotlib annotate location of arrow relative to text
  1. MATPLOTLIB ANNOTATE LOCATION OF ARROW RELATIVE TO TEXT HOW TO
  2. MATPLOTLIB ANNOTATE LOCATION OF ARROW RELATIVE TO TEXT DOWNLOAD

MATPLOTLIB ANNOTATE LOCATION OF ARROW RELATIVE TO TEXT DOWNLOAD

You can download Python from the Windows Store or the Python website.Before you get carried away with designing drawing tools in XLSPalette, you’ll need to overcome this first hurdle! To get started:

matplotlib annotate location of arrow relative to text

The reason this step comes first is because without Python, it is not possible to convert your XLSPalette file (step 4) and add it to your survey (step 5).

matplotlib annotate location of arrow relative to text

To use custom palettes in Survey123 you must first configure Python in Survey123 Connect. The following sections will guide you through these steps.

  • In the XLSForm for the survey, set an image question with draw or annotate appearance to use the custom palette instead of the default palette by specifying the palette parameter in the body::esri:style column.
  • palette file by running the conversion utility on the Media tab in Survey123 Connect.
  • Add the XLSPalette file and any associated files to the survey's media folder.
  • Prepare a custom palette using the XLSPalette specification.
  • Configure the Python environment in ArcGIS Survey123 Connect, so that you can run the conversion utility (step 4).
  • The process for creating a custom palette and adding it to your survey is as follows: Note: Custom palettes for image annotation are not supported in the Survey123 web app. Another question in the survey might ask the user to take a photo of a guard railing that is damaged and use an orange arrow to indicate where the damage is. This question could have a custom palette that includes only two tools: specific symbols for small and large potholes. What’s more, custom palettes are applied to individual questions in your survey, meaning you can include multiple palettes in the same survey, each with a specific application.įor example, in a road assessment survey, you might have an image question asking the user to indicate the where potholes are on a snapshot of a map. The February 2022 release of Survey123 allows you to create custom drawing tools palettes for the Survey123 field app, where you can configure your own line styles, add your own marker symbols, and so on. An environmental assessment survey might require a special symbol to represent a particular type of ground cover. Similarly, an engineering organization might want certain colours and arrows to be used when marking up defects in equipment. A utility company might have specific symbols and line styles that relate to electrical or gas works. For example, to ensure a particular feature is always drawn using the same line style, or that labels are always the same size and color.Ī few examples are shown below.

    matplotlib annotate location of arrow relative to text

    Your organization might have a need to customize (or should we say, standardize) drawing tools to help make annotated images consistent and to help make image annotation in the field more efficient. Standardize image annotations for your organization

    MATPLOTLIB ANNOTATE LOCATION OF ARROW RELATIVE TO TEXT HOW TO

    In this blog post, we’ll explore how to create your own custom annotation tools palettes and add them to questions in a survey. But what if, as a survey author, you want to make sure users draw their annotations with a specific set of tools, so that all annotations are consistent? The default palette allows users to modify the properties of the drawing tools to their liking while in the field. Survey123 ships with a default drawing tools palette that contains eight tools, including arrows, generic marker symbols, and text labels. For a detailed look at these improvements, see the Updates to draw and annotate in ArcGIS Survey123 (September 2021) blog post. In September and December 2021, we introduced several significant improvements to the user experience for draw and annotate questions, including better drawing tools and the ability to edit annotations. Similarly, an image question with the draw appearance provides a blank canvas for users to sketch on. The image can be a photo captured with the device's camera, an existing image file, or a snapshot of a map. In ArcGIS Survey123 an image question with the annotate appearance allows users to mark up an image.








    Matplotlib annotate location of arrow relative to text