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"""
plotly
======
A module that contains the plotly class, a liaison between the user
and ploty's servers.
1. get DEFAULT_PLOT_OPTIONS for options
2. update plot_options with .plotly/ dir
3. update plot_options with _plot_options
4. update plot_options with kwargs!
"""
from __future__ import absolute_import
import base64
import copy
import json
import socket
import os
import threading
import time
import warnings
from collections import deque
import requests
import six
import six.moves
import trollius
from trollius import From, Return, TimeoutError
from plotly import exceptions, tools, utils, version
from plotly.plotly import chunked_requests
from plotly.session import (sign_in, update_session_plot_options,
get_session_plot_options, get_session_credentials,
get_session_config)
from plotly.utils import HttpResponseParser, DisconnectThread
__all__ = None
DEFAULT_PLOT_OPTIONS = {
'filename': "plot from API",
'fileopt': "new",
'world_readable': True,
'auto_open': True,
'validate': True
}
# test file permissions and make sure nothing is corrupted
tools.ensure_local_plotly_files()
# don't break backwards compatibility
sign_in = sign_in
update_plot_options = update_session_plot_options
def get_credentials():
"""Returns the credentials that will be sent to plotly."""
credentials = tools.get_credentials_file()
session_credentials = get_session_credentials()
for credentials_key in credentials:
# checking for not false, but truthy value here is the desired behavior
session_value = session_credentials.get(credentials_key)
if session_value is False or session_value:
credentials[credentials_key] = session_value
return credentials
def get_config():
"""Returns either module config or file config."""
config = tools.get_config_file()
session_config = get_session_config()
for config_key in config:
# checking for not false, but truthy value here is the desired behavior
session_value = session_config.get(config_key)
if session_value is False or session_value:
config[config_key] = session_value
return config
def get_plot_options():
"""
Merge default and user-defined plot options.
"""
plot_options = copy.deepcopy(DEFAULT_PLOT_OPTIONS)
session_plot_options = get_session_plot_options()
for plot_option_key in plot_options:
# checking for not false, but truthy value here is the desired behavior
session_value = session_plot_options.get(plot_option_key)
if session_value is False or session_value:
plot_options[plot_option_key] = session_value
return plot_options
def _plot_option_logic(plot_options):
"""
Given some plot_options as part of a plot call, decide on final options
"""
session_plot_options = get_session_plot_options()
current_plot_options = get_plot_options()
current_plot_options.update(plot_options)
if (('filename' in plot_options or 'filename' in session_plot_options) and
'fileopt' not in session_plot_options and
'fileopt' not in plot_options):
current_plot_options['fileopt'] = 'overwrite'
return current_plot_options
def iplot(figure_or_data, **plot_options):
"""Create a unique url for this plot in Plotly and open in IPython.
plot_options keyword agruments:
filename (string) -- the name that will be associated with this figure
fileopt ('new' | 'overwrite' | 'extend' | 'append')
'new': create a new, unique url for this plot
'overwrite': overwrite the file associated with `filename` with this
'extend': add additional numbers (data) to existing traces
'append': add additional traces to existing data lists
world_readable (default=True) -- make this figure private/public
"""
if 'auto_open' not in plot_options:
plot_options['auto_open'] = False
res = plot(figure_or_data, **plot_options)
urlsplit = res.split('/')
username, plot_id = urlsplit[-2][1:], urlsplit[-1] # TODO: HACKY!
embed_options = dict()
if 'width' in plot_options:
embed_options['width'] = plot_options['width']
if 'height' in plot_options:
embed_options['height'] = plot_options['height']
return tools.embed(username, plot_id, **embed_options)
def plot(figure_or_data, validate=True, **plot_options):
"""Create a unique url for this plot in Plotly and optionally open url.
plot_options keyword agruments:
filename (string) -- the name that will be associated with this figure
fileopt ('new' | 'overwrite' | 'extend' | 'append') -- 'new' creates a
'new': create a new, unique url for this plot
'overwrite': overwrite the file associated with `filename` with this
'extend': add additional numbers (data) to existing traces
'append': add additional traces to existing data lists
world_readable (default=True) -- make this figure private/public
auto_open (default=True) -- Toggle browser options
True: open this plot in a new browser tab
False: do not open plot in the browser, but do return the unique url
"""
figure = tools.return_figure_from_figure_or_data(figure_or_data, validate)
for entry in figure['data']:
for key, val in list(entry.items()):
try:
if len(val) > 40000:
msg = ("Woah there! Look at all those points! Due to "
"browser limitations, Plotly has a hard time "
"graphing more than 500k data points for line "
"charts, or 40k points for other types of charts. "
"Here are some suggestions:\n"
"(1) Trying using the image API to return an image "
"instead of a graph URL\n"
"(2) Use matplotlib\n"
"(3) See if you can create your visualization with "
"fewer data points\n\n"
"If the visualization you're using aggregates "
"points (e.g., box plot, histogram, etc.) you can "
"disregard this warning.")
warnings.warn(msg)
except TypeError:
pass
plot_options = _plot_option_logic(plot_options)
res = _send_to_plotly(figure, **plot_options)
if res['error'] == '':
if plot_options['auto_open']:
_open_url(res['url'])
return res['url']
else:
raise exceptions.PlotlyAccountError(res['error'])
def iplot_mpl(fig, resize=True, strip_style=False, update=None, **plot_options):
"""Replot a matplotlib figure with plotly in IPython.
This function:
1. converts the mpl figure into JSON (run help(plolty.tools.mpl_to_plotly))
2. makes a request to Plotly to save this figure in your account
3. displays the image in your IPython output cell
Positional agruments:
fig -- a figure object from matplotlib
Keyword arguments:
resize (default=True) -- allow plotly to choose the figure size
strip_style (default=False) -- allow plotly to choose style options
update (default=None) -- update the resulting figure with an 'update'
dictionary-like object resembling a plotly 'Figure' object
Additional keyword arguments:
plot_options -- run help(plotly.plotly.iplot)
"""
fig = tools.mpl_to_plotly(fig, resize=resize, strip_style=strip_style)
if update and isinstance(update, dict):
try:
fig.update(update)
fig.validate()
except exceptions.PlotlyGraphObjectError as err:
err.add_note("Your updated figure could not be properly validated.")
err.prepare()
raise
elif update is not None:
raise exceptions.PlotlyGraphObjectError(
"'update' must be dictionary-like and a valid plotly Figure "
"object. Run 'help(plotly.graph_objs.Figure)' for more info."
)
return iplot(fig, **plot_options)
def plot_mpl(fig, resize=True, strip_style=False, update=None, **plot_options):
"""Replot a matplotlib figure with plotly.
This function:
1. converts the mpl figure into JSON (run help(plolty.tools.mpl_to_plotly))
2. makes a request to Plotly to save this figure in your account
3. opens your figure in a browser tab OR returns the unique figure url
Positional agruments:
fig -- a figure object from matplotlib
Keyword arguments:
resize (default=True) -- allow plotly to choose the figure size
strip_style (default=False) -- allow plotly to choose style options
update (default=None) -- update the resulting figure with an 'update'
dictionary-like object resembling a plotly 'Figure' object
Additional keyword arguments:
plot_options -- run help(plotly.plotly.plot)
"""
fig = tools.mpl_to_plotly(fig, resize=resize, strip_style=strip_style)
if update and isinstance(update, dict):
try:
fig.update(update)
fig.validate()
except exceptions.PlotlyGraphObjectError as err:
err.add_note("Your updated figure could not be properly validated.")
err.prepare()
raise
elif update is not None:
raise exceptions.PlotlyGraphObjectError(
"'update' must be dictionary-like and a valid plotly Figure "
"object. Run 'help(plotly.graph_objs.Figure)' for more info."
)
return plot(fig, **plot_options)
def get_figure(file_owner_or_url, file_id=None, raw=False):
"""Returns a JSON figure representation for the specified file
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.
Examples:
fig = get_figure('https://plot.ly/~chris/1638')
fig = get_figure('chris', 1638)
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!
raw (default=False) -- if true, return unicode JSON string verbatim**
**by default, plotly will return a Figure object (run help(plotly
.graph_objs.Figure)). This representation decodes the keys and values from
unicode (if possible), removes information irrelevant to the figure
representation, and converts the JSON dictionary objects to plotly
`graph objects`.
"""
plotly_rest_url = get_config()['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))
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/{username}/{file_id}".format(username=file_owner,
file_id=file_id)
credentials = get_credentials()
validate_credentials(credentials)
username, api_key = credentials['username'], credentials['api_key']
headers = {'plotly-username': username,
'plotly-apikey': api_key,
'plotly-version': version.__version__,
'plotly-platform': 'python'}
try:
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."
)
response = requests.get(plotly_rest_url + resource,
headers=headers,
verify=get_config()['plotly_ssl_verification'])
if response.status_code == 200:
if six.PY3:
content = json.loads(response.content.decode('utf-8'))
else:
content = json.loads(response.content)
response_payload = content['payload']
figure = response_payload['figure']
utils.decode_unicode(figure)
if raw:
return figure
else:
return tools.get_valid_graph_obj(figure, obj_type='Figure')
else:
try:
content = json.loads(response.content)
raise exceptions.PlotlyError(content)
except:
raise exceptions.PlotlyError(
"There was an error retrieving this file")
class StreamWriter(object):
"""
Class to help stream to Plotly's streaming server.
"""
linear_back_off_rate = 0.250 # additional seconds per retry
linear_wait_max = 16 # seconds
exponential_back_off_base = 5 # base for exponentiation
exponential_wait_max = 320 # seconds
eol = '\r\n' # end of line character for our http communication
def __init__(self, token, ignore_status_codes=(None, 200),
ignore_errors=(), queue_length=500, initial_write_timeout=4):
"""
Initialize a StreamWriter which can write to Plotly's streaming server.
:param (str) token: The Plotly streaming token which links a trace to
this data stream. *Not* your Plotly api_key.
:param ignore_status_codes: Http status codes to ignore from server and
reconnect on.
:param (int) queue_length: The maximum number of messages to store if
we're waiting to communicate with server.
:param (int) initial_write_timeout: Seconds to wait for a response from
the streaming server after the initial http request is sent.
:param ignore_errors: Exception classes to ignore and reconnect on.
Useful if you want quietly reconnect on network hiccups.
"""
self.token = token
self.ignore_status_codes = ignore_status_codes
self.ignore_errors = ignore_errors
self.queue_length = queue_length
self.initial_write_timeout = initial_write_timeout
self._queue = deque(maxlen=self.queue_length) # prevent memory leaks
self._last_beat = None
self._connect_errors = 0
self._last_connect_error = time.time()
self._disconnections = 0
self._last_disconnection = time.time()
self._thread = None
self._reader = None
self._writer = None
self._error = None
self._response = None
# hold reference to germain credentials/config at instantiation time.
self.host = get_config()['plotly_streaming_domain']
self.port = 80
self._headers = {'Plotly-Streamtoken': self.token, 'Host': self.host,
'Transfer-Encoding': 'chunked',
'Content-Type': 'text/plain'}
def _reset(self):
"""Prep some attributes to reconnect."""
self._response = None
self._error = None
self._last_beat = None
self._reader = None
self._writer = None
def _back_off_linearly(self):
"""Back off linearly if connect exceptions are thrown in the thread."""
now = time.time()
if now - self._last_connect_error > self.linear_wait_max * 2:
self._connect_errors = 0
self._last_connect_error = now
self._connect_errors += 1
wait_time = self._connect_errors * self.linear_back_off_rate
if wait_time > self.linear_wait_max:
raise exceptions.TooManyConnectFailures
else:
time.sleep(wait_time)
def _back_off_exponentially(self):
"""Back off exponentially if peer keeps disconnecting."""
now = time.time()
if now - self._last_disconnection > self.exponential_wait_max * 2:
self._disconnections = 0
self._last_disconnection = now
self._disconnections += 1
wait_time = self.exponential_back_off_base ** self._disconnections
if wait_time > self.exponential_wait_max:
raise exceptions.TooManyConnectFailures
else:
time.sleep(wait_time)
def _raise_for_response(self):
"""If we got a response, the server disconnected. Possibly raise."""
if self._response is None:
return
try:
response = self.response
message = response.read()
status = response.status
except (AttributeError, six.moves.http_client.BadStatusLine):
message = ''
status = None
if status not in self.ignore_status_codes:
raise exceptions.ClosedConnection(message, status_code=status)
# if we didn't raise here, we need to at least back off
if status >= 500:
self._back_off_linearly() # it's the server's fault.
else:
self._back_off_exponentially() # it's the client's fault.
def _raise_for_error(self):
"""If there was an error during reading/writing, possibly raise."""
if self._error is None:
return
if not isinstance(self._error, self.ignore_errors):
raise self._error
# if we didn't raise here, we need to at least back off
if isinstance(self._error, socket.error):
self._back_off_linearly()
# TODO: do we need to dive into the socket error numbers here?
def _check_pulse(self):
"""Streams get shut down after 60 seconds of inactivity."""
self._last_beat = self._last_beat or time.time()
now = time.time()
if now - self._last_beat > 30:
self._last_beat = now
if not self._queue:
self.write('')
def _initial_write(self):
"""Write our request-line and readers with a blank body."""
self._writer.write('POST / HTTP/1.1')
self._writer.write(self.eol)
for header, header_value in self._headers.items():
self._writer.write('{}: {}'.format(header, header_value))
self._writer.write(self.eol)
self._writer.write(self.eol)
def _write(self):
"""Check the queue, if it's not empty, write a chunk!"""
if self._queue:
self._chunk = self._queue.pop()
hex_len = format(len(self._chunk), 'x')
self._writer.write()
message = '{}\r\n{}\r\n'.format(hex_len, self._chunk)
self._writer.write(message.encode('utf-8'))
@trollius.coroutine
def _read(self, timeout=0.01):
"""
Read the whole buffer or return None if nothing's there.
:return: (str|None)
"""
try:
data = yield From(trollius.wait_for(self._reader.read(),
timeout=timeout))
except TimeoutError:
data = None
# This is how we return from coroutines with trollius
raise Return(data)
@trollius.coroutine
def _read_write(self):
"""
Entry point into coroutine functionality.
Creates a reader and a writer by opening a connection to Plotly's
streaming server. Then, it loops forever!
"""
try:
# open up a connection and get our StreamReader/StreamWriter
current_thread = threading.current_thread()
self._reader, self._writer = yield From(trollius.wait_for(
trollius.open_connection(self.host, self.port), timeout=60
))
# wait for an initial failure response, e.g., bad headers
self._initial_write()
self._response = yield From(self._read(self.initial_write_timeout))
# read/write until server responds or thread is disconnected.
while self._response is None and current_thread.connected:
self._check_pulse()
self._response = yield From(self._read()) # usually just None.
self._write()
except Exception as e:
self._error = e
finally:
if self._writer:
self._writer.close()
def _thread_func(self, loop):
"""
StreamWriters have threads that loop coroutines forever.
:param loop: From `trollius.get_event_loop()`
"""
trollius.set_event_loop(loop)
loop.run_until_complete(self._read_write())
@property
def connected(self):
"""Returns state of the StreamWriter's thread."""
return self._thread and self._thread.isAlive()
@property
def response(self):
"""Return a response object parsed from server string response."""
if self._response is None:
return None
return HttpResponseParser(self._response).get_response()
def open(self):
"""
Standard `open` API. Strictly unnecessary as it opens on `write`.
If not already opened, start a new daemon thread to consume the buffer.
"""
if self.connected:
return
# if we've previously hit a failure, we should let the user know
self._raise_for_response()
self._raise_for_error()
# reset our error, response, pulse information, etc.
self._reset()
# start up a new daemon thread
loop = trollius.get_event_loop()
self._thread = DisconnectThread(target=self._thread_func, args=(loop,))
self._thread.setDaemon(True)
self._thread.start()
def write(self, chunk):
"""
Standard `write` API.
Reopens connection if closed and appends chunk to buffer.
If chunk isn't a str|unicode, `json.dumps` is called with chunk.
:param (str|unicode|dict) chunk: The data to be queued to send.
"""
if not self.connected:
self.open()
if not isinstance(chunk, six.string_types):
chunk = json.dumps(chunk, cls=utils.PlotlyJSONEncoder)
self._queue.appendleft(chunk + '\n') # needs at least 1 trailing '\n'
def close(self):
"""
Standard `close` API.
Ensures thread is disconnected.
"""
if not self.connected:
return
self._thread.disconnect() # lets thread know to stop communicating
self._thread = None
@utils.template_doc(**tools.get_config_file())
class Stream:
"""
Interface to Plotly's real-time graphing API.
Initialize a Stream object with a stream_id
found in {plotly_domain}/settings.
Real-time graphs are initialized with a call to `plot` that embeds
your unique `stream_id`s in each of the graph's traces. The `Stream`
interface plots data to these traces, as identified with the unique
stream_id, in real-time.
Every viewer of the graph sees the same data at the same time.
View examples and tutorials here:
https://plot.ly/python/streaming/
Stream example:
# Initialize a streaming graph
# by embedding stream_id's in the graph's traces
import plotly.plotly as py
from plotly.graph_objs import Data, Scatter, Stream
stream_id = "your_stream_id" # See {plotly_domain}/settings
py.plot(Data([Scatter(x=[], y=[],
stream=Stream(token=stream_id, maxpoints=100))]))
# Stream data to the import trace
stream = Stream(stream_id) # Initialize a stream object
stream.open() # Open the stream
stream.write(dict(x=1, y=1)) # Plot (1, 1) in your graph
"""
@utils.template_doc(**tools.get_config_file())
def __init__(self, stream_id):
"""
Initialize a Stream object with your unique stream_id.
Find your stream_id at {plotly_domain}/settings.
For more help, see: `help(plotly.plotly.Stream)`
or see examples and tutorials here:
https://plot.ly/python/streaming/
"""
self.stream_id = stream_id
self.connected = False
self._stream = None
def heartbeat(self, reconnect_on=(200, '', 408)):
"""
Keep stream alive. Streams will close after ~1 min of inactivity.
If the interval between stream writes is > 30 seconds, you should
consider adding a heartbeat between your stream.write() calls like so:
>>> stream.heartbeat()
"""
try:
self._stream.write('\n', reconnect_on=reconnect_on)
except AttributeError:
raise exceptions.PlotlyError(
"Stream has not been opened yet, "
"cannot write to a closed connection. "
"Call `open()` on the stream to open the stream."
)
def open(self):
"""
Open streaming connection to plotly.
For more help, see: `help(plotly.plotly.Stream)`
or see examples and tutorials here:
https://plot.ly/python/streaming/
"""
streaming_url = get_config()['plotly_streaming_domain']
self._stream = chunked_requests.Stream(
streaming_url, 80, {'Host': streaming_url,
'plotly-streamtoken': self.stream_id})
def write(self, trace, layout=None, validate=True,
reconnect_on=(200, '', 408)):
"""
Write to an open stream.
Once you've instantiated a 'Stream' object with a 'stream_id',
you can 'write' to it in real time.
positional arguments:
trace - A valid plotly trace object (e.g., Scatter, Heatmap, etc.).
Not all keys in these are `stremable` run help(Obj) on the type
of trace your trying to stream, for each valid key, if the key
is streamable, it will say 'streamable = True'. Trace objects
must be dictionary-like.
keyword arguments:
layout (default=None) - A valid Layout object
Run help(plotly.graph_objs.Layout)
validate (default = True) - Validate this stream before sending?
This will catch local errors if set to True.
Some valid keys for trace dictionaries:
'x', 'y', 'text', 'z', 'marker', 'line'
Examples:
>>> write(dict(x=1, y=2)) # assumes 'scatter' type
>>> write(Bar(x=[1, 2, 3], y=[10, 20, 30]))
>>> write(Scatter(x=1, y=2, text='scatter text'))
>>> write(Scatter(x=1, y=3, marker=Marker(color='blue')))
>>> write(Heatmap(z=[[1, 2, 3], [4, 5, 6]]))
The connection to plotly's servers is checked before writing
and reconnected if disconnected and if the response status code
is in `reconnect_on`.
For more help, see: `help(plotly.plotly.Stream)`
or see examples and tutorials here:
http://nbviewer.ipython.org/github/plotly/python-user-guide/blob/master/s7_streaming/s7_streaming.ipynb
"""
stream_object = dict()
stream_object.update(trace)
if 'type' not in stream_object:
stream_object['type'] = 'scatter'
if validate:
try:
tools.validate(stream_object, stream_object['type'])
except exceptions.PlotlyError as err:
raise exceptions.PlotlyError(
"Part of the data object with type, '{0}', is invalid. "
"This will default to 'scatter' if you do not supply a "
"'type'. If you do not want to validate your data objects "
"when streaming, you can set 'validate=False' in the call "
"to 'your_stream.write()'. Here's why the object is "
"invalid:\n\n{1}".format(stream_object['type'], err)
)
try:
tools.validate_stream(stream_object, stream_object['type'])
except exceptions.PlotlyError as err:
raise exceptions.PlotlyError(
"Part of the data object with type, '{0}', cannot yet be "
"streamed into Plotly. If you do not want to validate "
"your data objects when streaming, you can set "
"'validate=False' in the call to 'your_stream.write()'. "
"Here's why the object cannot be streamed:\n\n{1}"
.format(stream_object['type'], err)
)
if layout is not None:
try:
tools.validate(layout, 'Layout')
except exceptions.PlotlyError as err:
raise exceptions.PlotlyError(
"Your layout kwarg was invalid. "
"Here's why:\n\n{0}".format(err)
)
del stream_object['type']
if layout is not None:
stream_object.update(dict(layout=layout))
# TODO: allow string version of this?
jdata = json.dumps(stream_object, cls=utils.PlotlyJSONEncoder)
jdata += "\n"
try:
self._stream.write(jdata, reconnect_on=reconnect_on)
except AttributeError:
raise exceptions.PlotlyError(
"Stream has not been opened yet, "
"cannot write to a closed connection. "
"Call `open()` on the stream to open the stream.")
def close(self):
"""
Close the stream connection to plotly's streaming servers.
For more help, see: `help(plotly.plotly.Stream)`
or see examples and tutorials here:
https://plot.ly/python/streaming/
"""
try:
self._stream.close()
except AttributeError:
raise exceptions.PlotlyError("Stream has not been opened yet.")
class image:
"""
Helper functions wrapped around plotly's static image generation api.
"""
@staticmethod
def get(figure_or_data, format='png', width=None, height=None):
"""
Return a static image of the plot described by `figure`.
Valid formats: 'png', 'svg', 'jpeg', 'pdf'
"""
# TODO: format is a built-in name... we shouldn't really use it
if isinstance(figure_or_data, dict):
figure = figure_or_data
elif isinstance(figure_or_data, list):
figure = {'data': figure_or_data}
else:
raise exceptions.PlotlyEmptyDataError(
"`figure_or_data` must be a dict or a list."
)
if format not in ['png', 'svg', 'jpeg', 'pdf']:
raise exceptions.PlotlyError(
"Invalid format. This version of your Plotly-Python "
"package currently only supports png, svg, jpeg, and pdf. "
"Learn more about image exporting, and the currently "
"supported file types here: "
"https://plot.ly/python/static-image-export/"
)
headers = _api_v2.headers()
headers['plotly_version'] = version.__version__
headers['content-type'] = 'application/json'
payload = {'figure': figure, 'format': format}
if width is not None:
payload['width'] = width
if height is not None:
payload['height'] = height
url = _api_v2.api_url('images/')
res = requests.post(
url, data=json.dumps(payload, cls=utils.PlotlyJSONEncoder),
headers=headers, verify=get_config()['plotly_ssl_verification'],
)
headers = res.headers
if res.status_code == 200:
if ('content-type' in headers and
headers['content-type'] in ['image/png', 'image/jpeg',
'application/pdf',
'image/svg+xml']):
return res.content
elif ('content-type' in headers and
'json' in headers['content-type']):
return_data = json.loads(res.content)
return return_data['image']
else:
try:
if ('content-type' in headers and
'json' in headers['content-type']):
return_data = json.loads(res.content)
else:
return_data = {'error': res.content}
except:
raise exceptions.PlotlyError("The response "
"from plotly could "
"not be translated.")
raise exceptions.PlotlyError(return_data['error'])
@classmethod
def ishow(cls, figure_or_data, format='png', width=None, height=None):
"""
Display a static image of the plot described by `figure`
in an IPython Notebook.
"""
if format == 'pdf':
raise exceptions.PlotlyError("Aw, snap! "
"It's not currently possible to embed a pdf into "
"an IPython notebook. You can save the pdf "
"with the `image.save_as` or you can "
"embed an png, jpeg, or svg.")
img = cls.get(figure_or_data, format, width, height)
from IPython.display import display, Image, SVG
if format == 'svg':
display(SVG(img))
else:
display(Image(img))
@classmethod
def save_as(cls, figure_or_data, filename, format=None, width=None,
height=None):
"""
Save a image of the plot described by `figure` locally as `filename`.
Valid image formats are 'png', 'svg', 'jpeg', and 'pdf'.
The format is taken as the extension of the filename or as the
supplied format.
"""
# todo: format shadows built-in name
(base, ext) = os.path.splitext(filename)
if not ext and not format:
filename += '.png'
elif ext and not format:
format = ext[1:]
elif not ext and format:
filename += '.'+format
else:
filename += '.'+format
img = cls.get(figure_or_data, format, width, height)
f = open(filename, 'wb')
f.write(img)
f.close()
class file_ops:
"""
Interface to Plotly's File System API
"""
@classmethod
def mkdirs(cls, folder_path):
"""
Create folder(s) specified by folder_path in your Plotly account.
If the intermediate directories do not exist,
they will be created. If they already exist,
no error will be thrown.
Mimics the shell's mkdir -p.
Returns:
- 200 if folders already existed, nothing was created
- 201 if path was created
Raises:
- exceptions.PlotlyRequestError with status code
400 if the path already exists.
Usage:
>> mkdirs('new folder')
>> mkdirs('existing folder/new folder')
>> mkdirs('new/folder/path')
"""
# trim trailing slash TODO: necessesary?
if folder_path[-1] == '/':
folder_path = folder_path[0:-1]
payload = {
'path': folder_path
}