Allow to set hatches in 'area' plots

[wavexx]

I'd like to be able to set the hatch styles (using a cycler) in plot(kind='area').
This would allow me to produce black&white plots correctly with more than two categories.

[jreback]

@TomAugspurger ?

[TomAugspurger]

@wavexx can you show an example of the matplotlib code needed to get the hatching on an area plot?

[wavexx]

I didn't check how area plots are made internally. It varies a bit depending on which call you're using, but most filling functions in mpl support the hatch or hatches kwarg.

http://matplotlib.org/examples/pylab_examples/contourf_hatching.html

It's also supported by fill_between (hatch).

https://stackoverflow.com/questions/18386106/matplotlib-hatched-fill-between-without-edges

I tried to set a cycler('hatch') as my default axes.prop_cycle, but it tries to set the hatch style for the lines as well (and this obviously fails).

[dschien]

@wavexx I am right that it currently is not possible at all to set hatches to area plots - not just using a cycler?

I am thinking that is the case because I tried the following without success:

ax = pd.plot(kind='area')
hatches=['.', '/', '\\', None, '\\\\', '*']
for i, a in enumerate(ax.collections):
    hatch = hatches[i % len(hatches)]
    a.set_hatch(hatch)

Thanks for any info

[wavexx]

As I wrote, you have to be careful to apply the style only to areas, but otherwise it will work:

pd.DataFrame([1,2,3]).plot(kind='area').collections[0].set_hatch('.')

Unfortunately this method is not scalable to anything but the simplest plot.
For black&white plots I still have to use MPL directly

[dschien]

Ok. Thanks for the confirmation. Will try

[dschien]

@wavexx Sorry to be a pain but your one liner does not get hatches in jupyter notebook on OSX python 3.6.1 with the below packages.

Any ideas?

alabaster==0.7.10
appdirs==1.4.3
appnope==0.1.0
appscript==1.0.1
asn1crypto==0.22.0
attrs==17.2.0
Automat==0.6.0
awscli==1.11.87
Babel==2.4.0
bleach==2.0.0
botocore==1.5.57
certifi==2017.4.17
cffi==1.10.0
chardet==3.0.3
click==6.7
colorama==0.3.9
constantly==15.1.0
cryptography==1.9
cssselect==1.0.1
cycler==0.10.0
decorator==4.0.11
docutils==0.13.1
entrypoints==0.2.2
et-xmlfile==1.0.1
-e git+https://github.com/dschien/PyExcelModelingHelper.git@9c2a47db71b4a9b6fb1cad6a4d624f44a2f58c1f#egg=excel_modelling_helper
Flask==0.12.2
Flask-SocketIO==2.8.6
google-api-python-client==1.6.2
html5lib==0.999999999
httplib2==0.10.3
idna==2.5
imagesize==0.7.1
incremental==17.5.0
ipykernel==4.6.1
ipynb==0.4
ipython==6.0.0
ipython-genutils==0.2.0
ipywidgets==6.0.0
itsdangerous==0.24
jdcal==1.3
jedi==0.10.2
Jinja2==2.9.6
jmespath==0.9.3
jsonschema==2.6.0
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jupyter-cms==0.7.0
jupyter-console==5.1.0
jupyter-core==4.3.0
lxml==3.7.3
MarkupSafe==1.0
matplotlib==2.0.2
mistune==0.7.4
mpmath==0.19
nbconvert==5.2.1
nbformat==4.3.0
networkx==1.11
nose==1.3.7
notebook==5.0.0
numpy==1.12.1
oauth2client==4.1.0
olefile==0.44
onedrivesdk==1.1.8
openpyxl==2.4.8
packaging==16.8
pandas==0.20.1
pandoc==1.0.0b2
pandocfilters==1.4.1
parsel==1.2.0
patsy==0.4.1
pbr==3.0.1
pexpect==4.2.1
pickleshare==0.7.4
Pillow==4.1.1
ply==3.10
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psutil==5.2.2
ptyprocess==0.5.1
py4j==0.10.4
pyasn1==0.2.3
pyasn1-modules==0.0.8
pycparser==2.17
PyDispatcher==2.0.5
pydot-ng==1.0.0
pydotplus==2.0.2
Pygments==2.2.0
pygraphviz==1.3.1
pyOpenSSL==17.0.0
pypandoc==1.4
pyparsing==2.2.0
PyQt5==5.8.2
pyspark==2.1.0+hadoop2.7
python-dateutil==2.6.0
python-engineio==1.5.4
python-socketio==1.7.5
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PyYAML==3.12
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qtconsole==4.3.0
queuelib==1.4.2
requests==2.17.3
rsa==3.4.2
s3transfer==0.1.10
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Scrapy==1.4.0
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six==1.10.0
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Sphinx==1.6.2
sphinxcontrib-websupport==1.0.1
statsmodels==0.8.0
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sympy==1.0
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terminado==0.6
testpath==0.3.1
tornado==4.5.1
traitlets==4.3.2
Twisted==17.1.0
tzlocal==1.4
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virtualenv-clone==0.2.6
virtualenvwrapper==4.7.2
w3lib==1.17.0
wcwidth==0.1.7
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Werkzeug==0.12.2
Whoosh==2.7.4
widgetsnbextension==2.0.0
xarray==0.9.5
xlrd==1.0.0
xlwings==0.10.4
xlwt==1.2.0
zope.interface==4.4.1

[wavexx]

On Fri, Jun 30 2017, Daniel Schien wrote: @wavexx Sorry to be a pain but your one liner does not get hatches in python 3.6.1

I'm still on MPL 2.0.0 (python 3.5) if that makes a difference. Do you get an error, or you just don't get hatches?

[dschien]

Indeed on 3.5.1 with MPL 2.0.0 I do get hatches. It turns out the problem is MPL.
I also get hatches on python 3.6.1 with MPL 2.0.0. However, on 3.6.1 with MPL 2.0.2 no hatches. No error. Just no hatches.