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Clean up code listing
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‎doc/api/next_api_changes/2018-09-18-DS.rst

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@@ -4,71 +4,71 @@ Removal of deprecated :mod:`matplotlib.mlab` code
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Lots of code inside the :mod:`matplotlib.mlab` module which was deprecated
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in Matplotlib 2.2 has been removed. See below for a list:
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- `mlab.exp_safe` (use numpy.exp instead)
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- `mlab.amap`
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- `mlab.logspace` (use numpy.logspace instead)
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- `mlab.rms_flat`
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- `mlab.l1norm` (use ``numpy.linalg.norm(a, ord=1)`` instead)
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- `mlab.l2norm` (use ``numpy.linalg.norm(a, ord=2)`` instead)
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- `mlab.norm_flat` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
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- `mlab.frange` (use numpy.arange instead)
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- `mlab.identity` (use numpy.identity instead)
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- `mlab.base_repr`
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- `mlab.binary_repr`
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- `mlab.ispower2`
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- `mlab.log2` (use numpy.log2 instead)
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- `mlab.isvector`
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- `mlab.movavg`
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- `mlab.safe_isinf` (use numpy.isinf instead)
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- `mlab.safe_isnan` (use numpy.isnan instead)
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- `mlab.cohere_pairs` (use scipy.signal.coherence instead)
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- `mlab.entropy` (use scipy.stats.entropy instead)
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- `mlab.normpdf` (use scipy.stats.norm.pdf instead)
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- `mlab.find` (use ``np.nonzero(np.ravel(condition))`` instead)
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- `mlab.longest_contiguous_ones`
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- `mlab.longest_ones`
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- `mlab.PCA`
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- `mlab.prctile` (use numpy.percentile instead)
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- `mlab.prctile_rank`
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- `mlab.center_matrix`
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- `mlab.rk4` (use scipy.integrate.ode instead)
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- `mlab.bivariate_normal`
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- `mlab.get_xyz_where`
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- `mlab.get_sparse_matrix`
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- `mlab.dist` (use numpy.hypot instead)
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- `mlab.dist_point_to_segment`
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- `mlab.griddata` (use scipy.interpolate.griddata)
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- `mlab.less_simple_linear_interpolation` (use numpy.interp)
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- `mlab.slopes`
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- `mlab.stineman_interp`
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- `mlab.segments_intersect`
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- `mlab.fftsurr`
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- `mlab.offset_line`
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- `mlab.quad2cubic`
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- `mlab.vector_lengths`
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- `mlab.distances_along_curve`
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- `mlab.path_length`
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- `mlab.cross_from_above`
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- `mlab.cross_from_below`
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- `mlab.contiguous_regions` (use `.cbook.contiguous_regions` instead)
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- `mlab.is_closed_polygon`
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- `mlab.poly_between`
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- `mlab.poly_below`
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- `mlab.inside_poly`
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- `mlab.rec2csv` (use numpy.recarray.tofile instead)
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- `mlab.rec2text` (use numpy.recarray.tofile instead)
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- `mlab.rec_summarize`
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- `mlab.rec_join`
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- `mlab.recs_join`
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- `mlab.rec_groupby`
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- `mlab.rec_keep_fields`
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- `mlab.rec_drop_fields`
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- `mlab.rec_append_fields`
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- `mlab.csvformat_factory`
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- `mlab.get_formatd`
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- `mlab.FormatDatetime` (use datetime.strftime instead)
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- `mlab.FormatDate` (use date.strftime instead)
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- `mlab.FormatMillions`, `mlab.FormatThousands`, `mlab.FormatPercent`,
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`mlab.FormatBool`, `mlab.FormatInt`, `mlab.FormatFloat`,
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`mlab.FormatFormatStr`, `mlab.FormatString`, `mlab.FormatObj`
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- `mlab.donothing_callback`
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- ``mlab.exp_safe`` (use `numpy.exp` instead)
8+
- ``mlab.amap``
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- ``mlab.logspace`` (use `numpy.logspace` instead)
10+
- ``mlab.rms_flat``
11+
- ``mlab.l1norm`` (use ``numpy.linalg.norm(a, ord=1)`` instead)
12+
- ``mlab.l2norm`` (use ``numpy.linalg.norm(a, ord=2)`` instead)
13+
- ``mlab.norm_flat`` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
14+
- ``mlab.frange`` (use `numpy.arange` instead)
15+
- ``mlab.identity`` (use `numpy.identity` instead)
16+
- ``mlab.base_repr``
17+
- ``mlab.binary_repr``
18+
- ``mlab.ispower2``
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- ``mlab.log2`` (use `numpy.log2` instead)
20+
- ``mlab.isvector``
21+
- ``mlab.movavg``
22+
- ``mlab.safe_isinf`` (use `numpy.isinf` instead)
23+
- ``mlab.safe_isnan`` (use `numpy.isnan` instead)
24+
- ``mlab.cohere_pairs`` (use `scipy.signal.coherence` instead)
25+
- ``mlab.entropy`` (use `scipy.stats.entropy` instead)
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- ``mlab.normpdf`` (use `scipy.stats.norm.pdf` instead)
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- ``mlab.find`` (use ``np.nonzero(np.ravel(condition))`` instead)
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- ``mlab.longest_contiguous_ones``
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- ``mlab.longest_ones``
30+
- ``mlab.PCA``
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- ``mlab.prctile`` (use `numpy.percentile` instead)
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- ``mlab.prctile_rank``
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- ``mlab.center_matrix``
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- ``mlab.rk4`` (use `scipy.integrate.ode` instead)
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- ``mlab.bivariate_normal``
36+
- ``mlab.get_xyz_where``
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- ``mlab.get_sparse_matrix``
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- ``mlab.dist`` (use `numpy.hypot` instead)
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- ``mlab.dist_point_to_segment``
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- ``mlab.griddata`` (use `scipy.interpolate.griddata`)
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- ``mlab.less_simple_linear_interpolation`` (use `numpy.interp`)
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- ``mlab.slopes``
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- ``mlab.stineman_interp``
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- ``mlab.segments_intersect``
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- ``mlab.fftsurr``
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- ``mlab.offset_line``
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- ``mlab.quad2cubic``
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- ``mlab.vector_lengths``
49+
- ``mlab.distances_along_curve``
50+
- ``mlab.path_length``
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- ``mlab.cross_from_above``
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- ``mlab.cross_from_below``
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- ``mlab.contiguous_regions`` (use `.cbook.contiguous_regions` instead)
54+
- ``mlab.is_closed_polygon``
55+
- ``mlab.poly_between``
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- ``mlab.poly_below``
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- ``mlab.inside_poly``
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- ``mlab.rec2csv`` (use `numpy.recarray.tofile` instead)
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- ``mlab.rec2text`` (use `numpy.recarray.tofile` instead)
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- ``mlab.rec_summarize``
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- ``mlab.rec_join``
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- ``mlab.recs_join``
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- ``mlab.rec_groupby``
64+
- ``mlab.rec_keep_fields``
65+
- ``mlab.rec_drop_fields``
66+
- ``mlab.rec_append_fields``
67+
- ``mlab.csvformat_factory``
68+
- ``mlab.get_formatd``
69+
- ``mlab.FormatDatetime`` (use `datetime.datetime.strftime` instead)
70+
- ``mlab.FormatDate`` (use `datetime.date.strftime` instead)
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- ``mlab.FormatMillions``, ``mlab.FormatThousands``, ``mlab.FormatPercent``,
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``mlab.FormatBool``, ``mlab.FormatInt``, ``mlab.FormatFloat``,
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``mlab.FormatFormatStr``, ``mlab.FormatString``, ``mlab.FormatObj``
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- ``mlab.donothing_callback``

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