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Merge branch 'main' into docformatter-1.7.0
2 parents d4a7cc5 + fbfc907 commit fb065b6

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.github/workflows/cache_data.yaml

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# Install Micromamba with conda-forge dependencies
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- name: Setup Micromamba
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uses: mamba-org/[email protected].0
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uses: mamba-org/[email protected].1
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with:
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environment-name: pygmt
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condarc: |

.github/workflows/ci_docs.yml

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# Install Micromamba with conda-forge dependencies
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- name: Setup Micromamba
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uses: mamba-org/[email protected].0
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uses: mamba-org/[email protected].1
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with:
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environment-name: pygmt
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condarc: |

.github/workflows/ci_doctests.yaml

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# Install Micromamba with conda-forge dependencies
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- name: Setup Micromamba
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uses: mamba-org/[email protected].0
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uses: mamba-org/[email protected].1
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with:
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environment-name: pygmt
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condarc: |

.github/workflows/ci_tests.yaml

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# Install Micromamba with conda-forge dependencies
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- name: Setup Micromamba
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uses: mamba-org/[email protected].0
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uses: mamba-org/[email protected].1
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with:
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environment-name: pygmt
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condarc: |

.github/workflows/ci_tests_dev.yaml

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# Install Micromamba with conda-forge dependencies
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- name: Setup Micromamba
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uses: mamba-org/[email protected].0
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uses: mamba-org/[email protected].1
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with:
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environment-name: pygmt
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condarc: |

.github/workflows/ci_tests_legacy.yaml

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# Install Micromamba with conda-forge dependencies
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- name: Setup Micromamba
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uses: mamba-org/[email protected].0
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uses: mamba-org/[email protected].1
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with:
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environment-name: pygmt
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condarc: |

.github/workflows/publish-to-pypi.yml

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ls -lh dist/
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- name: Publish to Test PyPI
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uses: pypa/[email protected].5
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uses: pypa/[email protected].6
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with:
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repository-url: https://test.pypi.org/legacy/
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- name: Publish to PyPI
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if: startsWith(github.ref, 'refs/tags')
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uses: pypa/[email protected].5
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uses: pypa/[email protected].6

pygmt/src/grdhisteq.py

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Example
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-------
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>>> import pygmt
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>>> # Load a grid of @earth_relief_30m data, with an x-range of 10 to
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>>> # 30, and a y-range of 15 to 25
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>>> # Load a grid of @earth_relief_30m data, with a longitude range
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>>> # of 10°E to 30°E, and a latitude range of 15°N to 25°N
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>>> grid = pygmt.datasets.load_earth_relief(
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... resolution="30m", region=[10, 30, 15, 25]
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... )
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Example
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-------
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>>> import pygmt
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>>> # Load a grid of @earth_relief_30m data, with an x-range of 10 to
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>>> # 30, and a y-range of 15 to 25
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>>> # Load a grid of @earth_relief_30m data, with a longitude range of
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>>> # 10°E to 30°E, and a latitude range of 15°N to 25°N
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>>> grid = pygmt.datasets.load_earth_relief(
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... resolution="30m", region=[10, 30, 15, 25]
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... )
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>>> # Find elevation intervals that splits the data range into 5
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>>> # Find elevation intervals that split the data range into 5
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>>> # divisions, each of which have an equal area in the original grid.
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>>> bins = pygmt.grdhisteq.compute_bins(grid=grid, divisions=5)
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>>> print(bins)

pygmt/src/rose.py

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frame : str
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Set map boundary frame and axes attributes. Remember that *x*
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here is radial distance and *y* is azimuth. The ylabel may be
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here is radial distance and *y* is azimuth. The y label may be
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used to plot a figure caption. The scale bar length is determined
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by the radial gridline spacing.
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