def __init__(
self,
data,
keys,
domain,
lane_prefix="Lane: ",
num_lanes=0,
summary=True,
stride=False,
lanes=None):
self._html = []
self._fig_name = self._generate_fig_name()
avgFunc = lambda x: sum([(evt[1] - evt[0]) for evt in x]) / len(x)
avg = {k: avgFunc(v) for k, v in data.iteritems()}
graph = {}
graph["data"] = data
graph["lanes"] = self._get_lanes(lanes, lane_prefix, num_lanes, data)
graph["xDomain"] = domain
graph["keys"] = sorted(avg, key=lambda x: avg[x], reverse=True)
graph["showSummary"] = summary
graph["stride"] = AttrConf.EVENT_PLOT_STRIDE
json_file = os.path.join(
IPythonConf.get_data_path(),
self._fig_name +
".json")
with open(json_file, "w") as json_fh:
json.dump(graph, json_fh)
# Initialize the HTML, CSS and JS Components
self._add_css()
self._init_html()
def __init__(self,
data,
keys,
domain,
lane_prefix="Lane: ",
num_lanes=0,
summary=True,
stride=False,
lanes=None):
self._html = []
self._fig_name = self._generate_fig_name()
avgFunc = lambda x: sum([(evt[1] - evt[0]) for evt in x]) / len(x)
avg = {k: avgFunc(v) for k, v in data.iteritems()}
graph = {}
graph["data"] = data
graph["lanes"] = self._get_lanes(lanes, lane_prefix, num_lanes, data)
graph["xDomain"] = domain
graph["keys"] = sorted(avg, key=lambda x: avg[x], reverse=True)
graph["showSummary"] = summary
graph["stride"] = AttrConf.EVENT_PLOT_STRIDE
json_file = os.path.join(IPythonConf.get_data_path(),
self._fig_name + ".json")
with open(json_file, "w") as json_fh:
json.dump(graph, json_fh)
# Initialize the HTML, CSS and JS Components
self._add_css()
self._init_html()
def fig_to_json(fig, profile):
"""Get the underlying data file from figure name"""
data_dir = IPythonConf.get_data_path(profile)
return os.path.expanduser(
os.path.join(
data_dir,
fig +
".json"))
def add_plot(self, plot_num, data_frame, title=""):
"""Add a plot for the corresponding index
:param plot_num: The linear index of the plot
:type plot_num: int
:param data_frame: The data for the plot
:type data_frame: :mod:`pandas.DataFrame`
:param title: The title for the plot
:type title: str
"""
fig_name = self._fig_map[plot_num]
fig_params = {}
fig_params["data"] = json.loads(data_frame.to_json())
fig_params["name"] = fig_name
fig_params["rangesel"] = False
fig_params["logscale"] = False
fig_params["title"] = title
fig_params["step_plot"] = self._attr["step_plot"]
fig_params["fill_graph"] = self._attr["fill"]
fig_params["per_line"] = self._attr["per_line"]
fig_params["height"] = self._attr["height"]
self._check_add_scatter(fig_params)
if "group" in self._attr:
fig_params["syncGroup"] = self._attr["group"]
if "sync_zoom" in self._attr:
fig_params["syncZoom"] = self._attr["sync_zoom"]
else:
fig_params["syncZoom"] = AttrConf.DEFAULT_SYNC_ZOOM
if "ylim" in self._attr:
fig_params["valueRange"] = self._attr["ylim"]
if "xlim" in self._attr:
fig_params["dateWindow"] = self._attr["xlim"]
json_file = os.path.join(IPythonConf.get_data_path(), fig_name + ".json")
fh = open(json_file, "w")
json.dump(fig_params, fh)
fh.close()
def add_plot(self, plot_num, data_frame, title=""):
"""Add a plot for the corresponding index
:param plot_num: The linear index of the plot
:type plot_num: int
:param data_frame: The data for the plot
:type data_frame: :mod:`pandas.DataFrame`
:param title: The title for the plot
:type title: str
"""
fig_name = self._fig_map[plot_num]
fig_params = {}
fig_params["data"] = json.loads(data_frame.to_json())
fig_params["name"] = fig_name
fig_params["rangesel"] = False
fig_params["logscale"] = False
fig_params["title"] = title
fig_params["step_plot"] = self._attr["step_plot"]
fig_params["fill_graph"] = self._attr["fill"]
self._check_add_scatter(fig_params)
if "group" in self._attr:
fig_params["syncGroup"] = self._attr["group"]
if "sync_zoom" in self._attr:
fig_params["syncZoom"] = self._attr["sync_zoom"]
else:
fig_params["syncZoom"] = AttrConf.DEFAULT_SYNC_ZOOM
if "ylim" in self._attr:
fig_params["valueRange"] = self._attr["ylim"]
json_file = os.path.join(IPythonConf.get_data_path(), fig_name + ".json")
fh = open(json_file, "w")
json.dump(fig_params, fh)
fh.close()
def fig_to_json(fig, profile):
"""Get the underlying data file from figure name"""
data_dir = IPythonConf.get_data_path(profile)
return os.path.expanduser(os.path.join(data_dir, fig + ".json"))
