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anntzertimhoffm
anntzer
authored and
timhoffm
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Bump oldest supported numpy to 1.11. (#12858)
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‎.circleci/config.yml‎

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@@ -134,7 +134,7 @@ jobs:
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- run:
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<<: *deps-install
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environment:
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NUMPY_VERSION: "==1.10.0"
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NUMPY_VERSION: "==1.11.0"
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- run: *mpl-install
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- run: *doc-build

‎INSTALL.rst‎

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@@ -136,7 +136,7 @@ Matplotlib requires the following dependencies:
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* `Python <https://www.python.org/downloads/>`_ (>= 3.5)
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* `FreeType <https://www.freetype.org/>`_ (>= 2.3)
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* `libpng <http://www.libpng.org>`_ (>= 1.2)
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* `NumPy <http://www.numpy.org>`_ (>= 1.10.0)
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* `NumPy <http://www.numpy.org>`_ (>= 1.11)
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* `setuptools <https://setuptools.readthedocs.io/en/latest/>`_
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* `cycler <http://matplotlib.org/cycler/>`_ (>= 0.10.0)
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* `dateutil <https://pypi.org/project/python-dateutil>`_ (>= 2.1)

‎doc/api/next_api_changes/2018-11-22-AL.rst‎

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Numpy minimum version bump
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``````````````````````````
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Matplotlib 3.1 requires numpy>=1.11.

‎lib/matplotlib/__init__.py‎

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@@ -191,7 +191,7 @@ def _check_versions():
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("cycler", "0.10"),
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("dateutil", "2.1"),
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("kiwisolver", "1.0.1"),
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("numpy", "1.10"),
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("numpy", "1.11"),
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("pyparsing", "2.0.1"),
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]:
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module = importlib.import_module(modname)

‎lib/matplotlib/dates.py‎

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@@ -254,10 +254,8 @@ def _dt64_to_ordinalf(d):
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# the "extra" ensures that we at least allow the dynamic range out to
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# seconds. That should get out to +/-2e11 years.
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# NOTE: First cast truncates; second cast back is for NumPy 1.10.
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extra = d - d.astype('datetime64[s]').astype(d.dtype)
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extra = extra.astype('timedelta64[ns]')
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t0 = np.datetime64('0001-01-01T00:00:00').astype('datetime64[s]')
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extra = (d - d.astype('datetime64[s]')).astype('timedelta64[ns]')
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t0 = np.datetime64('0001-01-01T00:00:00', 's')
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dt = (d.astype('datetime64[s]') - t0).astype(np.float64)
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dt += extra.astype(np.float64) / 1.0e9
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dt = dt / SEC_PER_DAY + 1.0

‎lib/matplotlib/tests/baseline_images/test_axes/formatter_large_small.pdf‎

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‎lib/matplotlib/tests/baseline_images/test_axes/formatter_large_small.png‎

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