Annual percentage Change for population in Germany (1950 - 2025)
Version 1

Workflow Type: Galaxy
Work-in-progress

Annual percentage Change for population in Germany (1950 - 2025)

This workflow run was executed on Galaxy (Workflow Rerun Information)

Workflow: Climate Stripes

Execution Status: scheduled

Executed: 2025-05-27 14:14:07.240149

Workflow Inputs

Formal Input Definitions

  • Germany-Population-Annual--Change-2025-05-27-15-17.csv (File)

  • Column name to use for plotting (Text)

  • Plot Title (Text)

  • nxsplit (Integer)

    • Description: Number of values per intervals
  • xname (column name for the x-axis) (Text)

    • Description: The column name to use for the x-axis.
  • Date/time format for the x-axis column (Text)

    • Description: Date/time format to use when reading the column to be used for the x-axis.
  • dates format for xlabels (Text)

    • Description: Format for plotting dates on the x-axis
  • Matplotlib colormap (Text)

    • Description: Parameter 'colormap': valid options: winter,PRGn,hsv,gist_ncar,RdYlGn,summer,BrBG,Pastel1,autumn,PuBuGn,seismic,YlOrRd,Purples,Wistia,YlOrBr,tab10,tab20c,gist_heat,bone,gist_yarg,ocean,flag,RdGy,gist_earth,coolwarm,spring,PuBu,cool,gist_stern,gray,Reds,Greens,Accent,BuGn,RdGy_r,Set3,Pastel2,pink,OrRd,gist_rainbow,Blues,binary,gist_gray,PuOr,Set2,rainbow,copper,RdBu_r,Oranges,Set1,afmhot,BuPu,gnuplot2,brg,terrain,YlGnBu,tab20,Greys,bwr,RdPu,PuRd,tab20b,PiYG,hot,gnuplot,YlGn,Dark2,prism,Spectral,Paired,RdPu_r,RdBu,RdYlBu,GnBu,cubehelix,CMRmap,jet,nipy_spectral) Using default: 'RdBu_r'.

Actual Input Files Used

  • Germany-Population-Annual--Change-2025-05-27-15-17.csv
    • Format: text/plain
    • Path: datasets/Germany-Population-Annual--Change-2025-05-27-15-17.csv_31e7840b5aedca43e53def1f4fdf0064.csv

Workflow Parameters

  • input:

    • class: NoReplacement
  • adv:

    • colormap: {'__class__': 'ConnectedValue'}
    • format_date: {'__class__': 'ConnectedValue'}
    • format_plot: {'__class__': 'ConnectedValue'}
    • nxsplit: {'__class__': 'ConnectedValue'}
    • xname: {'__class__': 'ConnectedValue'}
  • ifilename:

    • class: ConnectedValue
  • title:

    • class: ConnectedValue
  • variable:

    • class: ConnectedValue

Workflow Outputs

Formal Output Definitions

  • stripes.png (File)

Actual Output Files Generated

  • stripes.png
    • Format: application/octet-stream
    • Path: datasets/stripes.png_31e7840b5aedca437fdd404c00a60dc0.png

Rerun Template

To rerun this workflow:

  1. Workflow: Climate Stripes

  2. Required inputs:

    • Germany-Population-Annual--Change-2025-05-27-15-17.csv (type: File)
    • Column name to use for plotting (type: Text)
    • Plot Title (type: Text)
    • nxsplit (type: Integer)
    • xname (column name for the x-axis) (type: Text)
    • Date/time format for the x-axis column (type: Text)
    • dates format for xlabels (type: Text)
    • Matplotlib colormap (type: Text)
  3. Parameters to set:

    • input:
      • class: NoReplacement
    • adv:
      • colormap: {'__class__': 'ConnectedValue'}
      • format_date: {'__class__': 'ConnectedValue'}
      • format_plot: {'__class__': 'ConnectedValue'}
      • nxsplit: {'__class__': 'ConnectedValue'}
      • xname: {'__class__': 'ConnectedValue'}
    • ifilename:
      • class: ConnectedValue
    • title:
      • class: ConnectedValue
    • variable:
      • class: ConnectedValue
  4. Expected outputs:

    • stripes.png (type: File)

Click and drag the diagram to pan, double click or use the controls to zoom.

Inputs

ID Name Description Type
Column name to use for plotting n/a n/a
  • string
time format for the x-axis column n/a Date/time format to use when reading the column to be used for the x-axis.
  • string
Matplotlib colormap n/a Parameter 'colormap': valid options: winter,PRGn,hsv,gist_ncar,RdYlGn,summer,BrBG,Pastel1,autumn,PuBuGn,seismic,YlOrRd,Purples,Wistia,YlOrBr,tab10,tab20c,gist_heat,bone,gist_yarg,ocean,flag,RdGy,gist_earth,coolwarm,spring,PuBu,cool,gist_stern,gray,Reds,Greens,Accent,BuGn,RdGy_r,Set3,Pastel2,pink,OrRd,gist_rainbow,Blues,binary,gist_gray,PuOr,Set2,rainbow,copper,RdBu_r,Oranges,Set1,afmhot,BuPu,gnuplot2,brg,terrain,YlGnBu,tab20,Greys,bwr,RdPu,PuRd,tab20b,PiYG,hot,gnuplot,YlGn,Dark2,prism,Spectral,Paired,RdPu_r,RdBu,RdYlBu,GnBu,cubehelix,CMRmap,jet,nipy_spectral) Using default: 'RdBu_r'.
  • string
Plot Title n/a n/a
  • string
dates format for xlabels n/a Format for plotting dates on the x-axis
  • string
files.tabular n/a An input file with a header line and at least one column used to create the stripes.
  • File
nxsplit n/a Number of values per intervals
  • int
xname (column name for the x-axis) n/a The column name to use for the x-axis.
  • string

Steps

ID Name Description
Generate stripes n/a Generate stripe from tabular file with at least one column. User needs to specify the column name in the tool.

Outputs

ID Name Description Type
_anonymous_output_1 n/a n/a
  • File
_anonymous_output_2 n/a n/a
  • File
_anonymous_output_3 n/a n/a
  • File
_anonymous_output_4 n/a n/a
  • File
_anonymous_output_5 n/a n/a
  • File
_anonymous_output_6 n/a n/a
  • File
_anonymous_output_7 n/a n/a
  • File
stripes.png n/a n/a
  • File

Version History

Version 1 (earliest) Created 28th May 2025 at 08:48 by Anne Fouilloux

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Frozen Version-1 72b11b0
help Creators and Submitter
Creator
  • Anne Fouilloux
Submitter
Citation
Fouilloux, A. (2025). Annual percentage Change for population in Germany (1950 - 2025). WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.1382.1
License
Activity

Views: 124   Downloads: 28   Runs: 2

Created: 28th May 2025 at 08:48

Last updated: 28th May 2025 at 09:22

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