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tools.py
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# -*- coding: utf-8 -*-
"""
tools
=====
Functions that USERS will possibly want access to.
"""
from __future__ import absolute_import
from collections import OrderedDict
import warnings
import six
import math
import decimal
from plotly import utils
from plotly import exceptions
from plotly import graph_reference
from plotly import session
from plotly.files import (CONFIG_FILE, CREDENTIALS_FILE, FILE_CONTENT,
GRAPH_REFERENCE_FILE, check_file_permissions)
DEFAULT_PLOTLY_COLORS = ['rgb(31, 119, 180)', 'rgb(255, 127, 14)',
'rgb(44, 160, 44)', 'rgb(214, 39, 40)',
'rgb(148, 103, 189)', 'rgb(140, 86, 75)',
'rgb(227, 119, 194)', 'rgb(127, 127, 127)',
'rgb(188, 189, 34)', 'rgb(23, 190, 207)']
REQUIRED_GANTT_KEYS = ['Task', 'Start', 'Finish']
PLOTLY_SCALES = {'Greys': ['rgb(0,0,0)', 'rgb(255,255,255)'],
'YlGnBu': ['rgb(8,29,88)', 'rgb(255,255,217)'],
'Greens': ['rgb(0,68,27)', 'rgb(247,252,245)'],
'YlOrRd': ['rgb(128,0,38)', 'rgb(255,255,204)'],
'Bluered': ['rgb(0,0,255)', 'rgb(255,0,0)'],
'RdBu': ['rgb(5,10,172)', 'rgb(178,10,28)'],
'Reds': ['rgb(220,220,220)', 'rgb(178,10,28)'],
'Blues': ['rgb(5,10,172)', 'rgb(220,220,220)'],
'Picnic': ['rgb(0,0,255)', 'rgb(255,0,0)'],
'Rainbow': ['rgb(150,0,90)', 'rgb(255,0,0)'],
'Portland': ['rgb(12,51,131)', 'rgb(217,30,30)'],
'Jet': ['rgb(0,0,131)', 'rgb(128,0,0)'],
'Hot': ['rgb(0,0,0)', 'rgb(255,255,255)'],
'Blackbody': ['rgb(0,0,0)', 'rgb(160,200,255)'],
'Earth': ['rgb(0,0,130)', 'rgb(255,255,255)'],
'Electric': ['rgb(0,0,0)', 'rgb(255,250,220)'],
'Viridis': ['rgb(68,1,84)', 'rgb(253,231,37)']}
# color constants for violin plot
DEFAULT_FILLCOLOR = '#1f77b4'
DEFAULT_HISTNORM = 'probability density'
ALTERNATIVE_HISTNORM = 'probability'
# Warning format
def warning_on_one_line(message, category, filename, lineno,
file=None, line=None):
return '%s:%s: %s:\n\n%s\n\n' % (filename, lineno, category.__name__,
message)
warnings.formatwarning = warning_on_one_line
try:
from . import matplotlylib
_matplotlylib_imported = True
except ImportError:
_matplotlylib_imported = False
try:
import IPython
import IPython.core.display
_ipython_imported = True
except ImportError:
_ipython_imported = False
try:
import numpy as np
_numpy_imported = True
except ImportError:
_numpy_imported = False
try:
import pandas as pd
_pandas_imported = True
except ImportError:
_pandas_imported = False
try:
import scipy as scp
_scipy_imported = True
except ImportError:
_scipy_imported = False
try:
import scipy.spatial as scs
_scipy__spatial_imported = True
except ImportError:
_scipy__spatial_imported = False
try:
import scipy.cluster.hierarchy as sch
_scipy__cluster__hierarchy_imported = True
except ImportError:
_scipy__cluster__hierarchy_imported = False
try:
import scipy
import scipy.stats
_scipy_imported = True
except ImportError:
_scipy_imported = False
def get_config_defaults():
"""
Convenience function to check current settings against defaults.
Example:
if plotly_domain != get_config_defaults()['plotly_domain']:
# do something
"""
return dict(FILE_CONTENT[CONFIG_FILE]) # performs a shallow copy
def ensure_local_plotly_files():
"""Ensure that filesystem is setup/filled out in a valid way.
If the config or credential files aren't filled out, then write them
to the disk.
"""
if check_file_permissions():
for fn in [CREDENTIALS_FILE, CONFIG_FILE]:
utils.ensure_file_exists(fn)
contents = utils.load_json_dict(fn)
for key, val in list(FILE_CONTENT[fn].items()):
# TODO: removed type checking below, may want to revisit
if key not in contents:
contents[key] = val
contents_keys = list(contents.keys())
for key in contents_keys:
if key not in FILE_CONTENT[fn]:
del contents[key]
utils.save_json_dict(fn, contents)
# make a request to get graph reference if DNE.
utils.ensure_file_exists(GRAPH_REFERENCE_FILE)
utils.save_json_dict(GRAPH_REFERENCE_FILE,
graph_reference.GRAPH_REFERENCE)
else:
warnings.warn("Looks like you don't have 'read-write' permission to "
"your 'home' ('~') directory or to our '~/.plotly' "
"directory. That means plotly's python api can't setup "
"local configuration files. No problem though! You'll "
"just have to sign-in using 'plotly.plotly.sign_in()'. "
"For help with that: 'help(plotly.plotly.sign_in)'."
"\nQuestions? [email protected]")
### credentials tools ###
def set_credentials_file(username=None,
api_key=None,
stream_ids=None,
proxy_username=None,
proxy_password=None):
"""Set the keyword-value pairs in `~/.plotly_credentials`.
:param (str) username: The username you'd use to sign in to Plotly
:param (str) api_key: The api key associated with above username
:param (list) stream_ids: Stream tokens for above credentials
:param (str) proxy_username: The un associated with with your Proxy
:param (str) proxy_password: The pw associated with your Proxy un
"""
if not check_file_permissions():
raise exceptions.PlotlyError("You don't have proper file permissions "
"to run this function.")
ensure_local_plotly_files() # make sure what's there is OK
credentials = get_credentials_file()
if isinstance(username, six.string_types):
credentials['username'] = username
if isinstance(api_key, six.string_types):
credentials['api_key'] = api_key
if isinstance(proxy_username, six.string_types):
credentials['proxy_username'] = proxy_username
if isinstance(proxy_password, six.string_types):
credentials['proxy_password'] = proxy_password
if isinstance(stream_ids, (list, tuple)):
credentials['stream_ids'] = stream_ids
utils.save_json_dict(CREDENTIALS_FILE, credentials)
ensure_local_plotly_files() # make sure what we just put there is OK
def get_credentials_file(*args):
"""Return specified args from `~/.plotly_credentials`. as dict.
Returns all if no arguments are specified.
Example:
get_credentials_file('username')
"""
if check_file_permissions():
ensure_local_plotly_files() # make sure what's there is OK
return utils.load_json_dict(CREDENTIALS_FILE, *args)
else:
return FILE_CONTENT[CREDENTIALS_FILE]
def reset_credentials_file():
ensure_local_plotly_files() # make sure what's there is OK
utils.save_json_dict(CREDENTIALS_FILE, {})
ensure_local_plotly_files() # put the defaults back
### config tools ###
def set_config_file(plotly_domain=None,
plotly_streaming_domain=None,
plotly_api_domain=None,
plotly_ssl_verification=None,
plotly_proxy_authorization=None,
world_readable=None,
sharing=None,
auto_open=None):
"""Set the keyword-value pairs in `~/.plotly/.config`.
:param (str) plotly_domain: ex - https://plot.ly
:param (str) plotly_streaming_domain: ex - stream.plot.ly
:param (str) plotly_api_domain: ex - https://api.plot.ly
:param (bool) plotly_ssl_verification: True = verify, False = don't verify
:param (bool) plotly_proxy_authorization: True = use plotly proxy auth creds
:param (bool) world_readable: True = public, False = private
"""
if not check_file_permissions():
raise exceptions.PlotlyError("You don't have proper file permissions "
"to run this function.")
ensure_local_plotly_files() # make sure what's there is OK
utils.validate_world_readable_and_sharing_settings({
'sharing': sharing, 'world_readable': world_readable})
settings = get_config_file()
if isinstance(plotly_domain, six.string_types):
settings['plotly_domain'] = plotly_domain
elif plotly_domain is not None:
raise TypeError('plotly_domain should be a string')
if isinstance(plotly_streaming_domain, six.string_types):
settings['plotly_streaming_domain'] = plotly_streaming_domain
elif plotly_streaming_domain is not None:
raise TypeError('plotly_streaming_domain should be a string')
if isinstance(plotly_api_domain, six.string_types):
settings['plotly_api_domain'] = plotly_api_domain
elif plotly_api_domain is not None:
raise TypeError('plotly_api_domain should be a string')
if isinstance(plotly_ssl_verification, (six.string_types, bool)):
settings['plotly_ssl_verification'] = plotly_ssl_verification
elif plotly_ssl_verification is not None:
raise TypeError('plotly_ssl_verification should be a boolean')
if isinstance(plotly_proxy_authorization, (six.string_types, bool)):
settings['plotly_proxy_authorization'] = plotly_proxy_authorization
elif plotly_proxy_authorization is not None:
raise TypeError('plotly_proxy_authorization should be a boolean')
if isinstance(auto_open, bool):
settings['auto_open'] = auto_open
elif auto_open is not None:
raise TypeError('auto_open should be a boolean')
if isinstance(world_readable, bool):
settings['world_readable'] = world_readable
settings.pop('sharing')
elif world_readable is not None:
raise TypeError('Input should be a boolean')
if isinstance(sharing, six.string_types):
settings['sharing'] = sharing
elif sharing is not None:
raise TypeError('sharing should be a string')
utils.set_sharing_and_world_readable(settings)
utils.save_json_dict(CONFIG_FILE, settings)
ensure_local_plotly_files() # make sure what we just put there is OK
def get_config_file(*args):
"""Return specified args from `~/.plotly/.config`. as tuple.
Returns all if no arguments are specified.
Example:
get_config_file('plotly_domain')
"""
if check_file_permissions():
ensure_local_plotly_files() # make sure what's there is OK
return utils.load_json_dict(CONFIG_FILE, *args)
else:
return FILE_CONTENT[CONFIG_FILE]
def reset_config_file():
ensure_local_plotly_files() # make sure what's there is OK
f = open(CONFIG_FILE, 'w')
f.close()
ensure_local_plotly_files() # put the defaults back
### embed tools ###
def get_embed(file_owner_or_url, file_id=None, width="100%", height=525):
"""Returns HTML code to embed figure on a webpage as an <iframe>
Plotly uniquely identifies figures with a 'file_owner'/'file_id' pair.
Since each file is given a corresponding unique url, you may also simply
pass a valid plotly url as the first argument.
Note, if you're using a file_owner string as the first argument, you MUST
specify a `file_id` keyword argument. Else, if you're using a url string
as the first argument, you MUST NOT specify a `file_id` keyword argument,
or file_id must be set to Python's None value.
Positional arguments:
file_owner_or_url (string) -- a valid plotly username OR a valid plotly url
Keyword arguments:
file_id (default=None) -- an int or string that can be converted to int
if you're using a url, don't fill this in!
width (default="100%") -- an int or string corresp. to width of the figure
height (default="525") -- same as width but corresp. to the height of the
figure
"""
plotly_rest_url = (session.get_session_config().get('plotly_domain') or
get_config_file()['plotly_domain'])
if file_id is None: # assume we're using a url
url = file_owner_or_url
if url[:len(plotly_rest_url)] != plotly_rest_url:
raise exceptions.PlotlyError(
"Because you didn't supply a 'file_id' in the call, "
"we're assuming you're trying to snag a figure from a url. "
"You supplied the url, '{0}', we expected it to start with "
"'{1}'."
"\nRun help on this function for more information."
"".format(url, plotly_rest_url))
urlsplit = six.moves.urllib.parse.urlparse(url)
file_owner = urlsplit.path.split('/')[1].split('~')[1]
file_id = urlsplit.path.split('/')[2]
# to check for share_key we check urlsplit.query
query_dict = six.moves.urllib.parse.parse_qs(urlsplit.query)
if query_dict:
share_key = query_dict['share_key'][-1]
else:
share_key = ''
else:
file_owner = file_owner_or_url
share_key = ''
try:
test_if_int = int(file_id)
except ValueError:
raise exceptions.PlotlyError(
"The 'file_id' argument was not able to be converted into an "
"integer number. Make sure that the positional 'file_id' argument "
"is a number that can be converted into an integer or a string "
"that can be converted into an integer."
)
if int(file_id) < 0:
raise exceptions.PlotlyError(
"The 'file_id' argument must be a non-negative number."
)
if share_key is '':
s = ("<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" "
"seamless=\"seamless\" "
"src=\"{plotly_rest_url}/"
"~{file_owner}/{file_id}.embed\" "
"height=\"{iframe_height}\" width=\"{iframe_width}\">"
"</iframe>").format(
plotly_rest_url=plotly_rest_url,
file_owner=file_owner, file_id=file_id,
iframe_height=height, iframe_width=width)
else:
s = ("<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" "
"seamless=\"seamless\" "
"src=\"{plotly_rest_url}/"
"~{file_owner}/{file_id}.embed?share_key={share_key}\" "
"height=\"{iframe_height}\" width=\"{iframe_width}\">"
"</iframe>").format(
plotly_rest_url=plotly_rest_url,
file_owner=file_owner, file_id=file_id, share_key=share_key,
iframe_height=height, iframe_width=width)
return s
def embed(file_owner_or_url, file_id=None, width="100%", height=525):
"""Embeds existing Plotly figure in IPython Notebook
Plotly uniquely identifies figures with a 'file_owner'/'file_id' pair.
Since each file is given a corresponding unique url, you may also simply
pass a valid plotly url as the first argument.
Note, if you're using a file_owner string as the first argument, you MUST
specify a `file_id` keyword argument. Else, if you're using a url string
as the first argument, you MUST NOT specify a `file_id` keyword argument,
or file_id must be set to Python's None value.
Positional arguments:
file_owner_or_url (string) -- a valid plotly username OR a valid plotly url
Keyword arguments:
file_id (default=None) -- an int or string that can be converted to int
if you're using a url, don't fill this in!
width (default="100%") -- an int or string corresp. to width of the figure
height (default="525") -- same as width but corresp. to the height of the
figure
"""
try:
s = get_embed(file_owner_or_url, file_id=file_id, width=width,
height=height)
# see if we are in the SageMath Cloud
from sage_salvus import html
return html(s, hide=False)
except:
pass
if _ipython_imported:
if file_id:
plotly_domain = (
session.get_session_config().get('plotly_domain') or
get_config_file()['plotly_domain']
)
url = "{plotly_domain}/~{un}/{fid}".format(
plotly_domain=plotly_domain,
un=file_owner_or_url,
fid=file_id)
else:
url = file_owner_or_url
return PlotlyDisplay(url, width, height)
else:
if (get_config_defaults()['plotly_domain']
!= session.get_session_config()['plotly_domain']):
feedback_email = '[email protected]'
else:
# different domain likely means enterprise
feedback_email = '[email protected]'
warnings.warn(
"Looks like you're not using IPython or Sage to embed this "
"plot. If you just want the *embed code*,\ntry using "
"`get_embed()` instead."
'\nQuestions? {}'.format(feedback_email))
### mpl-related tools ###
@utils.template_doc(**get_config_file())
def mpl_to_plotly(fig, resize=False, strip_style=False, verbose=False):
"""Convert a matplotlib figure to plotly dictionary and send.
All available information about matplotlib visualizations are stored
within a matplotlib.figure.Figure object. You can create a plot in python
using matplotlib, store the figure object, and then pass this object to
the fig_to_plotly function. In the background, mplexporter is used to
crawl through the mpl figure object for appropriate information. This
information is then systematically sent to the PlotlyRenderer which
creates the JSON structure used to make plotly visualizations. Finally,
these dictionaries are sent to plotly and your browser should open up a
new tab for viewing! Optionally, if you're working in IPython, you can
set notebook=True and the PlotlyRenderer will call plotly.iplot instead
of plotly.plot to have the graph appear directly in the IPython notebook.
Note, this function gives the user access to a simple, one-line way to
render an mpl figure in plotly. If you need to trouble shoot, you can do
this step manually by NOT running this fuction and entereing the following:
===========================================================================
from mplexporter import Exporter
from mplexporter.renderers import PlotlyRenderer
# create an mpl figure and store it under a varialble 'fig'
renderer = PlotlyRenderer()
exporter = Exporter(renderer)
exporter.run(fig)
===========================================================================
You can then inspect the JSON structures by accessing these:
renderer.layout -- a plotly layout dictionary
renderer.data -- a list of plotly data dictionaries
Positional arguments:
fig -- a matplotlib figure object
username -- a valid plotly username **
api_key -- a valid api_key for the above username **
notebook -- an option for use with an IPython notebook
** Don't have a username/api_key? Try looking here:
{plotly_domain}/plot
** Forgot your api_key? Try signing in and looking here:
{plotly_domain}/python/getting-started
"""
if _matplotlylib_imported:
renderer = matplotlylib.PlotlyRenderer()
matplotlylib.Exporter(renderer).run(fig)
if resize:
renderer.resize()
if strip_style:
renderer.strip_style()
if verbose:
print(renderer.msg)
return renderer.plotly_fig
else:
warnings.warn(
"To use Plotly's matplotlylib functionality, you'll need to have "
"matplotlib successfully installed with all of its dependencies. "
"You're getting this error because matplotlib or one of its "
"dependencies doesn't seem to be installed correctly.")
### graph_objs related tools ###
def get_subplots(rows=1, columns=1, print_grid=False, **kwargs):
"""Return a dictionary instance with the subplots set in 'layout'.
Example 1:
# stack two subplots vertically
fig = tools.get_subplots(rows=2)
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x1', yaxis='y1')]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x2', yaxis='y2')]
Example 2:
# print out string showing the subplot grid you've put in the layout
fig = tools.get_subplots(rows=3, columns=2, print_grid=True)
Keywords arguments with constant defaults:
rows (kwarg, int greater than 0, default=1):
Number of rows, evenly spaced vertically on the figure.
columns (kwarg, int greater than 0, default=1):
Number of columns, evenly spaced horizontally on the figure.
horizontal_spacing (kwarg, float in [0,1], default=0.1):
Space between subplot columns. Applied to all columns.
vertical_spacing (kwarg, float in [0,1], default=0.05):
Space between subplot rows. Applied to all rows.
print_grid (kwarg, True | False, default=False):
If True, prints a tab-delimited string representation
of your plot grid.
Keyword arguments with variable defaults:
horizontal_spacing (kwarg, float in [0,1], default=0.2 / columns):
Space between subplot columns.
vertical_spacing (kwarg, float in [0,1], default=0.3 / rows):
Space between subplot rows.
"""
# TODO: protected until #282
from plotly.graph_objs import graph_objs
warnings.warn(
"tools.get_subplots is depreciated. "
"Please use tools.make_subplots instead."
)
# Throw exception for non-integer rows and columns
if not isinstance(rows, int) or rows <= 0:
raise Exception("Keyword argument 'rows' "
"must be an int greater than 0")
if not isinstance(columns, int) or columns <= 0:
raise Exception("Keyword argument 'columns' "
"must be an int greater than 0")
# Throw exception if non-valid kwarg is sent
VALID_KWARGS = ['horizontal_spacing', 'vertical_spacing']
for key in kwargs.keys():
if key not in VALID_KWARGS:
raise Exception("Invalid keyword argument: '{0}'".format(key))
# Set 'horizontal_spacing' / 'vertical_spacing' w.r.t. rows / columns
try:
horizontal_spacing = float(kwargs['horizontal_spacing'])
except KeyError:
horizontal_spacing = 0.2 / columns
try:
vertical_spacing = float(kwargs['vertical_spacing'])
except KeyError:
vertical_spacing = 0.3 / rows
fig = dict(layout=graph_objs.Layout()) # will return this at the end
plot_width = (1 - horizontal_spacing * (columns - 1)) / columns
plot_height = (1 - vertical_spacing * (rows - 1)) / rows
plot_num = 0
for rrr in range(rows):
for ccc in range(columns):
xaxis_name = 'xaxis{0}'.format(plot_num + 1)
x_anchor = 'y{0}'.format(plot_num + 1)
x_start = (plot_width + horizontal_spacing) * ccc
x_end = x_start + plot_width
yaxis_name = 'yaxis{0}'.format(plot_num + 1)
y_anchor = 'x{0}'.format(plot_num + 1)
y_start = (plot_height + vertical_spacing) * rrr
y_end = y_start + plot_height
xaxis = graph_objs.XAxis(domain=[x_start, x_end], anchor=x_anchor)
fig['layout'][xaxis_name] = xaxis
yaxis = graph_objs.YAxis(domain=[y_start, y_end], anchor=y_anchor)
fig['layout'][yaxis_name] = yaxis
plot_num += 1
if print_grid:
print("This is the format of your plot grid!")
grid_string = ""
plot = 1
for rrr in range(rows):
grid_line = ""
for ccc in range(columns):
grid_line += "[{0}]\t".format(plot)
plot += 1
grid_string = grid_line + '\n' + grid_string
print(grid_string)
return graph_objs.Figure(fig) # forces us to validate what we just did...
def make_subplots(rows=1, cols=1,
shared_xaxes=False, shared_yaxes=False,
start_cell='top-left', print_grid=True,
**kwargs):
"""Return an instance of plotly.graph_objs.Figure
with the subplots domain set in 'layout'.
Example 1:
# stack two subplots vertically
fig = tools.make_subplots(rows=2)
This is the format of your plot grid:
[ (1,1) x1,y1 ]
[ (2,1) x2,y2 ]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2])]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x2', yaxis='y2')]
# or see Figure.append_trace
Example 2:
# subplots with shared x axes
fig = tools.make_subplots(rows=2, shared_xaxes=True)
This is the format of your plot grid:
[ (1,1) x1,y1 ]
[ (2,1) x1,y2 ]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2])]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], yaxis='y2')]
Example 3:
# irregular subplot layout (more examples below under 'specs')
fig = tools.make_subplots(rows=2, cols=2,
specs=[[{}, {}],
[{'colspan': 2}, None]])
This is the format of your plot grid!
[ (1,1) x1,y1 ] [ (1,2) x2,y2 ]
[ (2,1) x3,y3 - ]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2])]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x2', yaxis='y2')]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x3', yaxis='y3')]
Example 4:
# insets
fig = tools.make_subplots(insets=[{'cell': (1,1), 'l': 0.7, 'b': 0.3}])
This is the format of your plot grid!
[ (1,1) x1,y1 ]
With insets:
[ x2,y2 ] over [ (1,1) x1,y1 ]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2])]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x2', yaxis='y2')]
Example 5:
# include subplot titles
fig = tools.make_subplots(rows=2, subplot_titles=('Plot 1','Plot 2'))
This is the format of your plot grid:
[ (1,1) x1,y1 ]
[ (2,1) x2,y2 ]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2])]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x2', yaxis='y2')]
Example 6:
# Include subplot title on one plot (but not all)
fig = tools.make_subplots(insets=[{'cell': (1,1), 'l': 0.7, 'b': 0.3}],
subplot_titles=('','Inset'))
This is the format of your plot grid!
[ (1,1) x1,y1 ]
With insets:
[ x2,y2 ] over [ (1,1) x1,y1 ]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2])]
fig['data'] += [Scatter(x=[1,2,3], y=[2,1,2], xaxis='x2', yaxis='y2')]
Keywords arguments with constant defaults:
rows (kwarg, int greater than 0, default=1):
Number of rows in the subplot grid.
cols (kwarg, int greater than 0, default=1):
Number of columns in the subplot grid.
shared_xaxes (kwarg, boolean or list, default=False)
Assign shared x axes.
If True, subplots in the same grid column have one common
shared x-axis at the bottom of the gird.
To assign shared x axes per subplot grid cell (see 'specs'),
send list (or list of lists, one list per shared x axis)
of cell index tuples.
shared_yaxes (kwarg, boolean or list, default=False)
Assign shared y axes.
If True, subplots in the same grid row have one common
shared y-axis on the left-hand side of the gird.
To assign shared y axes per subplot grid cell (see 'specs'),
send list (or list of lists, one list per shared y axis)
of cell index tuples.
start_cell (kwarg, 'bottom-left' or 'top-left', default='top-left')
Choose the starting cell in the subplot grid used to set the
domains of the subplots.
print_grid (kwarg, boolean, default=True):
If True, prints a tab-delimited string representation of
your plot grid.
Keyword arguments with variable defaults:
horizontal_spacing (kwarg, float in [0,1], default=0.2 / cols):
Space between subplot columns.
Applies to all columns (use 'specs' subplot-dependents spacing)
vertical_spacing (kwarg, float in [0,1], default=0.3 / rows):
Space between subplot rows.
Applies to all rows (use 'specs' subplot-dependents spacing)
subplot_titles (kwarg, list of strings, default=empty list):
Title of each subplot.
"" can be included in the list if no subplot title is desired in
that space so that the titles are properly indexed.
specs (kwarg, list of lists of dictionaries):
Subplot specifications.
ex1: specs=[[{}, {}], [{'colspan': 2}, None]]
ex2: specs=[[{'rowspan': 2}, {}], [None, {}]]
- Indices of the outer list correspond to subplot grid rows
starting from the bottom. The number of rows in 'specs'
must be equal to 'rows'.
- Indices of the inner lists correspond to subplot grid columns
starting from the left. The number of columns in 'specs'
must be equal to 'cols'.
- Each item in the 'specs' list corresponds to one subplot
in a subplot grid. (N.B. The subplot grid has exactly 'rows'
times 'cols' cells.)
- Use None for blank a subplot cell (or to move pass a col/row span).
- Note that specs[0][0] has the specs of the 'start_cell' subplot.
- Each item in 'specs' is a dictionary.
The available keys are:
* is_3d (boolean, default=False): flag for 3d scenes
* colspan (int, default=1): number of subplot columns
for this subplot to span.
* rowspan (int, default=1): number of subplot rows
for this subplot to span.
* l (float, default=0.0): padding left of cell
* r (float, default=0.0): padding right of cell
* t (float, default=0.0): padding right of cell
* b (float, default=0.0): padding bottom of cell
- Use 'horizontal_spacing' and 'vertical_spacing' to adjust
the spacing in between the subplots.
insets (kwarg, list of dictionaries):
Inset specifications.
- Each item in 'insets' is a dictionary.
The available keys are:
* cell (tuple, default=(1,1)): (row, col) index of the
subplot cell to overlay inset axes onto.
* is_3d (boolean, default=False): flag for 3d scenes
* l (float, default=0.0): padding left of inset
in fraction of cell width
* w (float or 'to_end', default='to_end') inset width
in fraction of cell width ('to_end': to cell right edge)
* b (float, default=0.0): padding bottom of inset
in fraction of cell height
* h (float or 'to_end', default='to_end') inset height
in fraction of cell height ('to_end': to cell top edge)
"""
# TODO: protected until #282
from plotly.graph_objs import graph_objs
# Throw exception for non-integer rows and cols
if not isinstance(rows, int) or rows <= 0:
raise Exception("Keyword argument 'rows' "
"must be an int greater than 0")
if not isinstance(cols, int) or cols <= 0:
raise Exception("Keyword argument 'cols' "
"must be an int greater than 0")
# Dictionary of things start_cell
START_CELL_all = {
'bottom-left': {
# 'natural' setup where x & y domains increase monotonically
'col_dir': 1,
'row_dir': 1
},
'top-left': {
# 'default' setup visually matching the 'specs' list of lists
'col_dir': 1,
'row_dir': -1
}
# TODO maybe add 'bottom-right' and 'top-right'
}
# Throw exception for invalid 'start_cell' values
try:
START_CELL = START_CELL_all[start_cell]
except KeyError:
raise Exception("Invalid 'start_cell' value")
# Throw exception if non-valid kwarg is sent
VALID_KWARGS = ['horizontal_spacing', 'vertical_spacing',
'specs', 'insets', 'subplot_titles']
for key in kwargs.keys():
if key not in VALID_KWARGS:
raise Exception("Invalid keyword argument: '{0}'".format(key))
# Set 'subplot_titles'
subplot_titles = kwargs.get('subplot_titles', [""] * rows * cols)
# Set 'horizontal_spacing' / 'vertical_spacing' w.r.t. rows / cols
try:
horizontal_spacing = float(kwargs['horizontal_spacing'])
except KeyError:
horizontal_spacing = 0.2 / cols
try:
vertical_spacing = float(kwargs['vertical_spacing'])
except KeyError:
if 'subplot_titles' in kwargs:
vertical_spacing = 0.5 / rows
else:
vertical_spacing = 0.3 / rows
# Sanitize 'specs' (must be a list of lists)
exception_msg = "Keyword argument 'specs' must be a list of lists"
try:
specs = kwargs['specs']
if not isinstance(specs, list):
raise Exception(exception_msg)
else:
for spec_row in specs:
if not isinstance(spec_row, list):
raise Exception(exception_msg)
except KeyError:
specs = [[{}
for c in range(cols)]
for r in range(rows)] # default 'specs'
# Throw exception if specs is over or under specified
if len(specs) != rows:
raise Exception("The number of rows in 'specs' "
"must be equal to 'rows'")
for r, spec_row in enumerate(specs):
if len(spec_row) != cols:
raise Exception("The number of columns in 'specs' "
"must be equal to 'cols'")
# Sanitize 'insets'
try:
insets = kwargs['insets']
if not isinstance(insets, list):
raise Exception("Keyword argument 'insets' must be a list")
except KeyError:
insets = False
# Throw exception if non-valid key / fill in defaults
def _check_keys_and_fill(name, arg, defaults):
def _checks(item, defaults):
if item is None:
return
if not isinstance(item, dict):
raise Exception("Items in keyword argument '{name}' must be "
"dictionaries or None".format(name=name))
for k in item.keys():
if k not in defaults.keys():
raise Exception("Invalid key '{k}' in keyword "
"argument '{name}'".format(k=k, name=name))
for k in defaults.keys():
if k not in item.keys():
item[k] = defaults[k]
for arg_i in arg:
if isinstance(arg_i, list):
for arg_ii in arg_i:
_checks(arg_ii, defaults)
elif isinstance(arg_i, dict):
_checks(arg_i, defaults)
# Default spec key-values
SPEC_defaults = dict(
is_3d=False,
colspan=1,
rowspan=1,
l=0.0,
r=0.0,
b=0.0,
t=0.0
# TODO add support for 'w' and 'h'
)
_check_keys_and_fill('specs', specs, SPEC_defaults)
# Default inset key-values
if insets:
INSET_defaults = dict(
cell=(1, 1),
is_3d=False,
l=0.0,
w='to_end',
b=0.0,
h='to_end'
)
_check_keys_and_fill('insets', insets, INSET_defaults)
# Set width & height of each subplot cell (excluding padding)
width = (1. - horizontal_spacing * (cols - 1)) / cols
height = (1. - vertical_spacing * (rows - 1)) / rows
# Built row/col sequence using 'row_dir' and 'col_dir'
COL_DIR = START_CELL['col_dir']
ROW_DIR = START_CELL['row_dir']
col_seq = range(cols)[::COL_DIR]
row_seq = range(rows)[::ROW_DIR]
# [grid] Build subplot grid (coord tuple of cell)
grid = [[((width + horizontal_spacing) * c,
(height + vertical_spacing) * r)
for c in col_seq]
for r in row_seq]
# [grid_ref] Initialize the grid and insets' axis-reference lists
grid_ref = [[None for c in range(cols)] for r in range(rows)]
insets_ref = [None for inset in range(len(insets))] if insets else None
layout = graph_objs.Layout() # init layout object
# Function handling logic around 2d axis labels
# Returns 'x{}' | 'y{}'
def _get_label(x_or_y, r, c, cnt, shared_axes):
# Default label (given strictly by cnt)
label = "{x_or_y}{cnt}".format(x_or_y=x_or_y, cnt=cnt)
if isinstance(shared_axes, bool):
if shared_axes:
if x_or_y == 'x':
label = "{x_or_y}{c}".format(x_or_y=x_or_y, c=c + 1)
if x_or_y == 'y':
label = "{x_or_y}{r}".format(x_or_y=x_or_y, r=r + 1)
if isinstance(shared_axes, list):
if isinstance(shared_axes[0], tuple):
shared_axes = [shared_axes] # TODO put this elsewhere
for shared_axis in shared_axes:
if (r + 1, c + 1) in shared_axis: