Skip to content
Snippets Groups Projects
Select Git revision
  • 19821983d914a63fd6868ee3942658d370abc61f
  • master default protected
  • v0.5.x
  • juelich_0_5_18
  • releases/v0.6.0.tim_survey protected
  • compress_tim_survey
  • releases/v0.5.18 protected
  • expose_elevation_for_parset
  • releases/v0.5.17 protected
  • releases/v0.6.0 protected
  • releases/v0.5.19 protected
  • releases/v0.5.16 protected
  • releases/v0.5.15 protected
  • nico_testing_juelich
  • nightly_build_test
  • releases/v0.5.14 protected
  • releases/v0.5.13 protected
  • releases/v0.5.12 protected
  • releases/v0.5.11 protected
  • numberOfCorrelatedDataProducts
  • releases/v0.5.10 protected
  • v0.6.0.tim_survey
  • v0.5.18
  • v0.5.17
  • v0.6.0
  • v0.5.16
  • v0.5.15
  • v0.5.14
  • v0.5.13
  • v0.5.12
  • v0.5.11
  • v0.5.10
  • v0.5.9
  • v0.5.8
  • v0.5.7
  • v0.5.6
  • v0.5.5
  • v0.5.4
  • v0.5.3
  • v0.5.2
  • v0.5.1
41 results

plot_uvw_coverage.cwl

Blame
  • Code owners
    Assign users and groups as approvers for specific file changes. Learn more.
    plot_uvw_coverage.cwl 1.30 KiB
    cwlVersion: v1.1
    class: CommandLineTool
    baseCommand:
      - python3
      - script.py
    inputs:
      - id: input_file
        type: File
        inputBinding:
          position: 0
      - id: output_name
        type: string?
        default: 'uv_coverage.png'
        inputBinding:
          position: 1
    outputs:
      - id: uv_plot
        type: File
        outputBinding:
          glob: $(inputs.output_name)
    hints:
      - class: DockerRequirement
        dockerPull: git.astron.nl:5000/ldv/imaging_compress_pipeline:v0.5.14
      - class: NetworkAccess
        networkAccess: true
    
    requirements:
      - class: InlineJavascriptRequirement
      - class: InitialWorkDirRequirement
        listing:
          - entryname: script.py
            entry: |
              import h5py
              import matplotlib.pylab as plt
              import sys
              import numpy as np
              from matplotlib import cm
    
              h5_file = h5py.File(sys.argv[1], 'r')
              output_name = sys.argv[2]
              u = h5_file['URANGE']
              v = h5_file['VRANGE']
    
              plt.imshow(np.log10(h5_file['COVERAGE'][:, :, 0]), extent= [u[0], u[-1], v[0], v[-1]], cmap=cm.Blues)
              plt.imshow(np.log10(h5_file['FLAGS'][:, :, 0]), extent= [u[0], u[-1], v[0], v[-1]] , cmap=cm.Reds)
              plt.imshow(np.log10(h5_file['DATALOSS'][:, :, 0]), extent= [u[0], u[-1], v[0], v[-1]] , cmap=cm.Greens)
    
              plt.savefig(output_name)