ILinePlotGen.py revision f2666cb3e55dfc7812d6c170f992190e795602cf
14ec4aee55dbd4045cfb6a2fe099615a569ce7ff7Javi Merino# Copyright 2015-2016 ARM Limited 28741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh# 3aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# Licensed under the Apache License, Version 2.0 (the "License"); 4aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# you may not use this file except in compliance with the License. 5aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# You may obtain a copy of the License at 6aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# 7aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# http://www.apache.org/licenses/LICENSE-2.0 8aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# 9aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# Unless required by applicable law or agreed to in writing, software 10aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# distributed under the License is distributed on an "AS IS" BASIS, 11aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# See the License for the specific language governing permissions and 13aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# limitations under the License. 14aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino# 15aace7c0732cac769f1ffe95a89591b6217fa9447Javi Merino 1666451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh"""This is helper module for :mod:`trappy.plotter.ILinePlot` 1766451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singhfor adding HTML and javascript necessary for interactive 1866451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singhplotting. The Linear to 2-D co-ordination transformations 1966451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singhare done by using the functionality in 2066451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh:mod:`trappy.plotter.PlotLayout` 218741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh""" 228741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 23435457c8af9d69383ba45e0bd7da022d967a8deaJavi Merinofrom trappy.plotter import AttrConf 248741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singhimport uuid 258741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singhimport json 268741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singhimport os 2753de9b352977814c37608788cc1df83fc6485371Kapileshwar Singhfrom trappy.plotter import IPythonConf 288741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 29e1a703051d7cf345003f0ed4cfa7c25a76b0105cKapileshwar Singh 3053de9b352977814c37608788cc1df83fc6485371Kapileshwar Singhif not IPythonConf.check_ipython(): 318741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh raise ImportError("No Ipython Environment found") 328741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 33fd5fe5f7938465e38af92f33287e7ad6549951eaKapileshwar Singhfrom IPython.display import display, HTML 34fd5fe5f7938465e38af92f33287e7ad6549951eaKapileshwar Singh 358741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 368741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singhclass ILinePlotGen(object): 3766451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh """ 3866451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh :param num_plots: The total number of plots 3966451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh :type num_plots: int 4066451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh 4166451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh The linear co-ordinate system :math:`[0, N_{plots}]` is 4266451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh mapped to a 2-D coordinate system with :math:`N_{rows}` 4366451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh and :math:`N_{cols}` such that: 448741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 4566451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh .. math:: 4666451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh 4766451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh N_{rows} = \\frac{N_{cols}}{N_{plots}} 488741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh """ 498741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 508741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh def _add_graph_cell(self, fig_name): 518741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh """Add a HTML table cell to hold the plot""" 528741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 53211860fe53efaa299db6ff6c9b28816bcb5902d4Kapileshwar Singh div_js = """ 544aa15c0de680a339ba3e7acf300aaa089f3eb4caKapileshwar Singh <script> 554aa15c0de680a339ba3e7acf300aaa089f3eb4caKapileshwar Singh var ilp_req = require.config( { 564aa15c0de680a339ba3e7acf300aaa089f3eb4caKapileshwar Singh 5707ac8dd8c8093d432390078dab4dce61906e421dKapileshwar Singh paths: { 5853de9b352977814c37608788cc1df83fc6485371Kapileshwar Singh "dygraph-sync": '""" + IPythonConf.add_web_base("plotter_scripts/ILinePlot/synchronizer") + """', 5953de9b352977814c37608788cc1df83fc6485371Kapileshwar Singh "dygraph": '""" + IPythonConf.add_web_base("plotter_scripts/ILinePlot/dygraph-combined") + """', 6053de9b352977814c37608788cc1df83fc6485371Kapileshwar Singh "ILinePlot": '""" + IPythonConf.add_web_base("plotter_scripts/ILinePlot/ILinePlot") + """', 61324d33688bde12601302cbad42e3487c37364817Kapileshwar Singh "underscore": '""" + IPythonConf.add_web_base("plotter_scripts/ILinePlot/underscore-min") + """', 6207ac8dd8c8093d432390078dab4dce61906e421dKapileshwar Singh }, 6307ac8dd8c8093d432390078dab4dce61906e421dKapileshwar Singh 644aa15c0de680a339ba3e7acf300aaa089f3eb4caKapileshwar Singh shim: { 6507ac8dd8c8093d432390078dab4dce61906e421dKapileshwar Singh "dygraph-sync": ["dygraph"], 6607ac8dd8c8093d432390078dab4dce61906e421dKapileshwar Singh "ILinePlot": { 674aa15c0de680a339ba3e7acf300aaa089f3eb4caKapileshwar Singh 68324d33688bde12601302cbad42e3487c37364817Kapileshwar Singh "deps": ["dygraph-sync", "dygraph", "underscore"], 694aa15c0de680a339ba3e7acf300aaa089f3eb4caKapileshwar Singh "exports": "ILinePlot" 704aa15c0de680a339ba3e7acf300aaa089f3eb4caKapileshwar Singh } 714aa15c0de680a339ba3e7acf300aaa089f3eb4caKapileshwar Singh } 724aa15c0de680a339ba3e7acf300aaa089f3eb4caKapileshwar Singh }); 7307ac8dd8c8093d432390078dab4dce61906e421dKapileshwar Singh ilp_req(["require", "ILinePlot"], function() { 7453de9b352977814c37608788cc1df83fc6485371Kapileshwar Singh ILinePlot.generate('""" + fig_name + """', '""" + IPythonConf.add_web_base("") + """'); 75211860fe53efaa299db6ff6c9b28816bcb5902d4Kapileshwar Singh }); 76211860fe53efaa299db6ff6c9b28816bcb5902d4Kapileshwar Singh </script> 77211860fe53efaa299db6ff6c9b28816bcb5902d4Kapileshwar Singh """ 78211860fe53efaa299db6ff6c9b28816bcb5902d4Kapileshwar Singh 79b9e8f11cfd24c71e4634a3b23ba3704841e636d9Kapileshwar Singh cell = '<td style="border-style: hidden;"><div class="ilineplot" id="{}">{}</div></td>'.format(fig_name, div_js) 808741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 818741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._html.append(cell) 828741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 838741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh def _add_legend_cell(self, fig_name): 848741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh """Add HTML table cell for the legend""" 858741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 868741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh legend_div_name = fig_name + "_legend" 879b4898aa3ea40f2af85157af65ab491e8aaa9b4cMichele Di Giorgio cell = '<td style="border-style: hidden;"><div style="text-align:center" id="{}"></div></td>'.format(legend_div_name) 888741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 898741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._html.append(cell) 908741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 918741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh def _begin_row(self): 928741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh """Add the opening tag for HTML row""" 938741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 948741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._html.append("<tr>") 958741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 968741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh def _end_row(self): 978741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh """Add the closing tag for the HTML row""" 988741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 998741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._html.append("</tr>") 1008741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1017c32bc41bcd9e96c06bb70339334489cb93c663cKapileshwar Singh def _end_table(self): 1027c32bc41bcd9e96c06bb70339334489cb93c663cKapileshwar Singh """Add the closing tag for the HTML table""" 1037c32bc41bcd9e96c06bb70339334489cb93c663cKapileshwar Singh 1047c32bc41bcd9e96c06bb70339334489cb93c663cKapileshwar Singh self._html.append("</table>") 1057c32bc41bcd9e96c06bb70339334489cb93c663cKapileshwar Singh 1068741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh def _generate_fig_name(self): 1078741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh """Generate a unique figure name""" 1088741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1098741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh fig_name = "fig_" + uuid.uuid4().hex 1108741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._fig_map[self._fig_index] = fig_name 1118741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._fig_index += 1 1128741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh return fig_name 1138741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1148741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh def _init_html(self): 1158741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh """Initialize HTML code for the plots""" 1168741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 117b9e8f11cfd24c71e4634a3b23ba3704841e636d9Kapileshwar Singh table = '<table style="border-style: hidden;">' 1188741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._html.append(table) 119b24eed7a902022c014c61f7c8c3061adf53f4eacMichele Di Giorgio if self._attr["title"]: 120b24eed7a902022c014c61f7c8c3061adf53f4eacMichele Di Giorgio cell = '<caption style="text-align:center; font: 24px sans-serif bold; color: black">{}</caption>'.format(self._attr["title"]) 121b24eed7a902022c014c61f7c8c3061adf53f4eacMichele Di Giorgio self._html.append(cell) 1228741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1238741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh for _ in range(self._rows): 1248741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._begin_row() 1258741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh legend_figs = [] 1268377bdc6856e004ecc6554008a9e0f556a05b579Michele Di Giorgio for _ in range(self._attr["per_line"]): 1278741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh fig_name = self._generate_fig_name() 1288741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh legend_figs.append(fig_name) 1298741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._add_graph_cell(fig_name) 1308741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1318741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._end_row() 1328741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._begin_row() 1338741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1348741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh for l_fig in legend_figs: 1358741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._add_legend_cell(l_fig) 1368741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1378741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._end_row() 1388741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1397c32bc41bcd9e96c06bb70339334489cb93c663cKapileshwar Singh self._end_table() 1407c32bc41bcd9e96c06bb70339334489cb93c663cKapileshwar Singh 1418377bdc6856e004ecc6554008a9e0f556a05b579Michele Di Giorgio def __init__(self, num_plots, **kwargs): 1428741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 143bd75d5c3abd977e41ce8c9f7e4740a552a239932Kapileshwar Singh self._attr = kwargs 1448741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._html = [] 1458741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self.num_plots = num_plots 1468741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._fig_map = {} 1478741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._fig_index = 0 1488741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1498741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._single_plot = False 1508741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh if self.num_plots == 0: 1518741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh raise RuntimeError("No plots for the given constraints") 1528741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1538377bdc6856e004ecc6554008a9e0f556a05b579Michele Di Giorgio if self.num_plots < self._attr["per_line"]: 1548377bdc6856e004ecc6554008a9e0f556a05b579Michele Di Giorgio self._attr["per_line"] = self.num_plots 1558377bdc6856e004ecc6554008a9e0f556a05b579Michele Di Giorgio self._rows = (self.num_plots / self._attr["per_line"]) 1568741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1578377bdc6856e004ecc6554008a9e0f556a05b579Michele Di Giorgio if self.num_plots % self._attr["per_line"] != 0: 1588741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._rows += 1 1598741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1608741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._attr["height"] = AttrConf.HTML_HEIGHT 1618741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh self._init_html() 1628741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1637ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh def _check_add_scatter(self, fig_params): 1647ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh """Check if a scatter plot is needed 1657ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh and augment the fig_params accordingly""" 1667ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh 1677ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh if self._attr["scatter"]: 1687ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh fig_params["drawPoints"] = True 1697ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh fig_params["strokeWidth"] = 0.0 1707ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh else: 1717ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh fig_params["drawPoints"] = False 1727ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh fig_params["strokeWidth"] = AttrConf.LINE_WIDTH 1737ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh 1747ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh fig_params["pointSize"] = self._attr["point_size"] 1757ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh 176f2666cb3e55dfc7812d6c170f992190e795602cfJavi Merino def add_plot(self, plot_num, data_frame, title="", test=False): 17766451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh """Add a plot for the corresponding index 17866451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh 17966451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh :param plot_num: The linear index of the plot 18066451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh :type plot_num: int 18166451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh 18266451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh :param data_frame: The data for the plot 18366451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh :type data_frame: :mod:`pandas.DataFrame` 18466451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh 18566451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh :param title: The title for the plot 18666451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh :type title: str 18766451b48f106e10658bdce2bd49c852f844db6faKapileshwar Singh """ 1888741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 1898741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh fig_name = self._fig_map[plot_num] 1908741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh fig_params = {} 1918741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh fig_params["data"] = json.loads(data_frame.to_json()) 1928741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh fig_params["name"] = fig_name 1938741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh fig_params["rangesel"] = False 1948741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh fig_params["logscale"] = False 1958741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh fig_params["title"] = title 1968741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh fig_params["step_plot"] = self._attr["step_plot"] 197bd75d5c3abd977e41ce8c9f7e4740a552a239932Kapileshwar Singh fig_params["fill_graph"] = self._attr["fill"] 198b9e8f11cfd24c71e4634a3b23ba3704841e636d9Kapileshwar Singh fig_params["per_line"] = self._attr["per_line"] 199b9e8f11cfd24c71e4634a3b23ba3704841e636d9Kapileshwar Singh fig_params["height"] = self._attr["height"] 2008741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 2017ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh self._check_add_scatter(fig_params) 2027ab82627f892036d7eeb04af3d282a329f8d04cdKapileshwar Singh 20367527ddea39e858c957997356a16bd8e3819f359Kapileshwar Singh if "group" in self._attr: 20467527ddea39e858c957997356a16bd8e3819f359Kapileshwar Singh fig_params["syncGroup"] = self._attr["group"] 20567527ddea39e858c957997356a16bd8e3819f359Kapileshwar Singh if "sync_zoom" in self._attr: 20667527ddea39e858c957997356a16bd8e3819f359Kapileshwar Singh fig_params["syncZoom"] = self._attr["sync_zoom"] 20767527ddea39e858c957997356a16bd8e3819f359Kapileshwar Singh else: 20867527ddea39e858c957997356a16bd8e3819f359Kapileshwar Singh fig_params["syncZoom"] = AttrConf.DEFAULT_SYNC_ZOOM 20967527ddea39e858c957997356a16bd8e3819f359Kapileshwar Singh 2104462468766dabe30a7c58c655807c4c2ede0fdccKapileshwar Singh if "ylim" in self._attr: 2114462468766dabe30a7c58c655807c4c2ede0fdccKapileshwar Singh fig_params["valueRange"] = self._attr["ylim"] 2124462468766dabe30a7c58c655807c4c2ede0fdccKapileshwar Singh 213c972b86eac3c41c14b4063f0a4c79b371ebe739cKapileshwar Singh if "xlim" in self._attr: 214c972b86eac3c41c14b4063f0a4c79b371ebe739cKapileshwar Singh fig_params["dateWindow"] = self._attr["xlim"] 215c972b86eac3c41c14b4063f0a4c79b371ebe739cKapileshwar Singh 216f2666cb3e55dfc7812d6c170f992190e795602cfJavi Merino if not test: 217f2666cb3e55dfc7812d6c170f992190e795602cfJavi Merino json_file = os.path.join(IPythonConf.get_data_path(), fig_name + ".json") 218f2666cb3e55dfc7812d6c170f992190e795602cfJavi Merino fh = open(json_file, "w") 219f2666cb3e55dfc7812d6c170f992190e795602cfJavi Merino json.dump(fig_params, fh) 220f2666cb3e55dfc7812d6c170f992190e795602cfJavi Merino fh.close() 2218741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 2228741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh def finish(self): 2238741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh """Called when the Plotting is finished""" 2248741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 225211860fe53efaa299db6ff6c9b28816bcb5902d4Kapileshwar Singh display(HTML(self.html())) 2268741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 2278741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh def html(self): 2288741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh """Return the raw HTML text""" 2298741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh 2308741ef170bc7fcc772837fd2db3df2f8d74b6c10Kapileshwar Singh return "\n".join(self._html) 231