python-api/plotly/tests/coverage/plotly_tools.html at master · pziemkowski/python-api

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<!doctype html PUBLIC "-//W3C//DTD html 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd">

<html>

<head>

<title>Coverage for plotly/tools: 78%</title>

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<h1>Coverage for plotly/tools :

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# -*- coding: utf-8 -*-

"""

tools

=====

Functions that USERS will possibly want access to.

"""

from __future__ import absolute_import

import os

import os.path

import warnings

import six

from plotly import utils

from plotly import exceptions

from . import matplotlylib

from . graph_objs import graph_objs

# 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:

_matplotlylib_imported = True

except ImportError:

_matplotlylib_imported = False

PLOTLY_DIR = os.path.join(os.path.expanduser("~"), ".plotly")

CREDENTIALS_FILE = os.path.join(PLOTLY_DIR, ".credentials")

CONFIG_FILE = os.path.join(PLOTLY_DIR, ".config")

TEST_DIR = os.path.join(os.path.expanduser("~"), ".test")

TEST_FILE = os.path.join(PLOTLY_DIR, ".permission_test")

# this sets both the DEFAULTS and the TYPES for these items

_FILE_CONTENT = {CREDENTIALS_FILE: {'username': '',

'api_key': '',

'stream_ids': []},

CONFIG_FILE: {'plotly_domain': 'https://plot.ly',

'plotly_streaming_domain': 'stream.plot.ly'}}

try:

os.mkdir(TEST_DIR)

os.rmdir(TEST_DIR)

if not os.path.exists(PLOTLY_DIR):

os.mkdir(PLOTLY_DIR)

f = open(TEST_FILE, 'w')

f.write('testing\n')

f.close()

os.remove(TEST_FILE)

_file_permissions = True

except:

_file_permissions = False

def check_file_permissions():

return _file_permissions

def ensure_local_plotly_files():

"""Ensure that filesystem is setup/filled out in a valid way"""

if _file_permissions:

if not os.path.isdir(PLOTLY_DIR):

os.mkdir(PLOTLY_DIR)

for fn in [CREDENTIALS_FILE, CONFIG_FILE]:

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)

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.sign_in()'. For help "

"with that: 'help(plotly.sign_in)'."

"\nQuestions? support@plot.ly")

### credentials tools ###

def set_credentials_file(username=None, api_key=None, stream_ids=None):

"""Set the keyword-value pairs in `~/.plotly_credentials`.

"""

if not _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(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 _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

f = open(CREDENTIALS_FILE, 'w')

f.close()

ensure_local_plotly_files()  # put the defaults back

### config tools ###

def set_config_file(plotly_domain=None, plotly_streaming_domain=None):

"""Set the keyword-value pairs in `~/.plotly/.config`.

"""

if not _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

settings = get_config_file()

if isinstance(plotly_domain, six.string_types):

settings['plotly_domain'] = plotly_domain

if isinstance(plotly_streaming_domain, six.string_types):

settings['plotly_streaming_domain'] = plotly_streaming_domain

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_credentials`. as dict.

Returns all if no arguments are specified.

Example:

get_credentials_file('username')

"""

if _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

"""

padding = 25

plotly_rest_url = 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, '{}', we expected it to start with '{}'."

"\nRun help on this function for more information."

"".format(url, plotly_rest_url))

head = plotly_rest_url + "/~"

file_owner = url.replace(head, "").split('/')[0]

file_id = url.replace(head, "").split('/')[1]

else:

file_owner = file_owner_or_url

resource = "/apigetfile/{file_owner}/{file_id}".format(file_owner=file_owner,

file_id=file_id)

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 isinstance(width, int):

s = ("<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\""

"seamless=\"seamless\" "

"src=\"{plotly_rest_url}/"

"~{file_owner}/{file_id}/{plot_width}/{plot_height}\" "

"height=\"{iframe_height}\" width=\"{iframe_width}\">"

"</iframe>").format(

plotly_rest_url=plotly_rest_url,

file_owner=file_owner, file_id=file_id,

plot_width=width-padding, plot_height=height-padding,

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}\" "

"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)

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

"""

s = get_embed(file_owner_or_url, file_id, width, height)

try:

# see if we are in the SageMath Cloud

from sage_salvus import html

return html(s, hide=False)

except:

pass

try:

from IPython.display import HTML, display

display(HTML(s))

except:

pass

### 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}/api/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 ###

# TODO: Scale spacing based on number of plots and figure size

def get_subplots(rows=1, columns=1, horizontal_spacing=0.1,

vertical_spacing=0.15, print_grid=False):

"""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)

key (types, default=default):

description.

rows (int, default=1):

Number of rows, evenly spaced vertically on the figure.

columns (int, default=1):

Number of columns, evenly spaced horizontally on the figure.

horizontal_spacing (float in [0,1], default=0.1):

Space between subplot columns. Applied to all columns.

vertical_spacing (float in [0,1], default=0.05):

Space between subplot rows. Applied to all rows.

print_grid (True | False, default=False):

If True, prints a tab-delimited string representation of your plot grid.

"""

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{}'.format(plot_num + 1)

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