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raw_data_plot_data.py
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raw_data_plot_data.py
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import copy
class Raw_Data_Plot_Data(object):
"""
1.
cursor = 17.6
plot_origin = 5.2
Scan:
origin = 5 -> 15
(1, 16), (2, 17), (3, 8), (4, 9), (5, 10), (6, 11), (7, 12), (8, 13), (9, 14), (10, 15)
Scroll:
origin = 7.6
(0.4, 8), (1.4, 9), (2.4, 10), (3.4, 11), (4.4, 12), (5.4, 13), (6.4, 14), (7.4, 15), (8.4, 16), (9.4, 17)
2.
cursor = 17.6
plot_origin = 15.2
Scan:
origin = 15 -> 25
(1, 16), (2, 17), (3, 18), (4, 19), (5, 20), (6, 21), (7, 22), (8, 23), (9,24), (10, 25)
Scroll:
origin = 15.2
(0.8, 16), (1.8, 17)
"""
def __init__(self, time_data, channel_data, events, mode, channels, cursor, ch_label,
window_size=10, plot_origin=None):
self.trans_events = copy.deepcopy(events)
self.set_mode(mode)
self.ch_label = ch_label
self.param = self.cal_mode_param(time_data, cursor, window_size, plot_origin)
self.axises_tick = self.calculate_axises_tick(time_data, channels,
window_size, plot_origin)
self.calculate_plot_data(time_data, channel_data, channels, plot_origin, window_size)
def set_mode(self, mode):
if mode not in ["Scan", "Scroll"]:
raise NotImplementedError("{} mode has not be implemented".format(
mode))
else:
self.mode = mode
def cal_mode_param(self, time_data, cursor, window_size=10, plot_origin=None):
"""
According to the mode, calculating index of important point in
time_data, and return the important parameter
"""
if self.mode == "Scan":
return self.cal_scan_mode_param(time_data, cursor, window_size, plot_origin)
elif self.mode == "Scroll":
return self.cal_scroll_mode_param(time_data, cursor, window_size, plot_origin)
def cal_scan_mode_param(self, time_data, cursor, window_size, plot_origin):
"""
##Scan Mode##
if
cursor = 17.2, window_size = 10, plot_origin = 5.2
then
origin = 15 { (int(plot_origin) + n*window_size) < cursor }
last_origin = 7.20999 { (cursor-windows_size) }
if
cursor = 17.2, window_size = 10, plot_origin = 15.2
then
origin = 15 { (int(plot_origin) + n*window_size) < cursor}
last_origin = None
origin_idx: min(time_data >= origin)
cursor_idx: max(time_data <= cursor)
last_origin_idx: None or min(time_data > last_origin)
Return:
{
"origin": 10,
"cursor": 17.2,
"last_origin": 7.209999999999999,
"idx": {
"origin": ``origin_idx``,
"cursor": ``cursor_idx``,
"last_origin": ``last_origin_idx``
}
}
"""
origin = int(plot_origin)
while origin <= cursor:
origin += window_size
origin -= window_size
last_origin = cursor - window_size
if last_origin < int(plot_origin):
last_origin = None
origin_idx = None
cursor_idx = 0
last_origin_idx = None
for idx, time_stamp in enumerate(time_data):
if origin_idx is None and time_stamp >= origin:
origin_idx = idx
if time_stamp <= cursor:
cursor_idx = idx
if last_origin is not None and \
last_origin_idx is None and \
time_stamp > last_origin:
last_origin_idx = idx
if time_stamp > cursor:
break
if origin_idx is None:
origin_idx = 0
return dict(origin=origin, cursor=cursor, last_origin=last_origin,
idx=dict(
origin=origin_idx,cursor=cursor_idx,
last_origin=last_origin_idx)
)
def cal_scroll_mode_param(self, time_data, cursor, window_size, plot_origin):
"""
if
cursor = 17.2, window_size = 10, plot_origin = 5.2
then
origin = 7.20999 { (cursor - window_size)+0.01 }
if
cursor = 17.2, window_size = 10, plot_origin = 15.2
then
origin = 15.2 { int(plot_origin) }
origin_idx: min(time_data >= origin)
cursor_idx: max(time_data <= cursor)
Return:
{
"origin": 10,
"cursor": 17.2,
"idx": {
"origin": ``origin_idx``,
"cursor": ``cursor_idx``
}
}
"""
origin = cursor - window_size + 0.01
if origin < plot_origin:
origin = plot_origin
origin_idx = None
cursor_idx = 0
for idx, time_stamp in enumerate(time_data):
if origin_idx is None and time_stamp >= origin:
origin_idx = idx
if time_stamp <= cursor:
cursor_idx = idx
if time_stamp > cursor:
break
if origin_idx is None:
origin_idx = 0
return dict(origin=origin, cursor=cursor,
idx=dict(origin=origin_idx,cursor=cursor_idx)
)
def calculate_axises_tick(self, time_data, channels, window_size, plot_origin):
"""
## Scan mode
if
cursor = 17.2
plot_origin = 5.2
origin = 15
cursor = 17.2
last_origin = 7.209999999999999
then
time_axis_ticks = [15, 16, 17, 8, 9, 10, 11, 12, 13, 14, 15]
||
\/
time_axis_ticks = [(0, 15), (1, 16), ... , (10, 15)]
if
cursor = 17.2
plot_origin = 15.2
origin = 15
cursor = 17.2
last_origin = None
then
time_axis_ticks = [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25]
||
\/
time_axis_ticks = [(0, 15), (1, 16), ... , (10, 25)]
## Scroll mode
if
cursor = 17.2
origin = 7.209999
plot_origin = 5.2
then
time_axis_ticks = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17]
||
\/
time_axis_ticks = [(0.79, 8), (1.79, 9), ... , (9.79, 17)]
if
cursor = 17.2
origin = 15.2
plot_origin = 15.2
then
time_axis_ticks = [16, 17]
||
\/
time_axis_ticks = [(0.8, 16), (1.8, 17)]
channels = [1, 5, 7 ,9]
channel_axis_ticks = [(40, 'Channel 1'), (30, 'Channel 5'), ... ]
"""
if self.mode == "Scan":
origin = self.param['origin']
cursor = self.param['cursor']
last_origin = self.param['last_origin']
if last_origin is not None:
time_axis_ticks = list( range(int(origin), int(cursor)+1) )
time_axis_ticks += list( range(int(last_origin)+1, int(origin)+1) )
for idx, tick in enumerate(time_axis_ticks):
if tick >= origin:
time_axis_ticks[idx] = (tick - origin, tick)
else:
time_axis_ticks[idx] = (tick + window_size - origin, tick)
else:
time_axis_ticks = list( range(int(origin), int(origin) + window_size + 1))
for idx, tick in enumerate(time_axis_ticks):
time_axis_ticks[idx] = (tick - origin, tick)
elif self.mode == "Scroll":
origin = self.param['origin']
cursor = self.param['cursor']
time_axis_ticks = list(range(int(origin)+1, int(cursor)+1))
for idx, tick in enumerate(time_axis_ticks):
time_axis_ticks[idx] = (tick - origin, tick)
channel_axis_ticks = list()
if len(self.ch_label) is 0:
for idx, ch in enumerate(reversed(channels), start=1):
#TODO change 10 to window height
channel_axis_ticks.insert(0, (idx*10, "Channel {}".format(ch)))
else:
for idx, ch in enumerate(reversed(channels), start=1):
#TODO change 10 to window height
channel_axis_ticks.insert(0, (idx*10, self.ch_label[ch - 1]))
return dict(bottom=time_axis_ticks,left=channel_axis_ticks)
def calculate_plot_data(self, time_data, channel_data, channels, plot_origin, window_size=10):
"""
## Scan mode
if
cursor = 17.2
plot_origin = 5.2
origin = 15
cursor = 17.2
last_origin = 7.209999999999999
then
target_time_data = [15.1, 15.3, ... , 22.0, 22.2, 22.4, 12.5, ... , 14.5]
||
\/
target_time_data = [0.1 , 0.3, ... , 7.0, 7.2, 7.4, 7.5, ... , 9.5]
if
cursor = 17.2
plot_origin = 15.2
origin = 15
cursor = 17.2
last_origin = None
then
target_time_data = [15.1, 15.3, ... , 16.9, 17.0, 17.1, 17.2]
||
\/
target_time_data = [0.1 , 0.3, ... , 1.9, 2.0, 2.1, 2.2]
## Scroll mode
if
cursor = 17.2
origin = 7.209999
plot_origin = 5.2
then
target_time_data = [7.3, 7.4, ... , 16.8, 16.9, 17.2]
||
\/
target_time_data = [0.09, 0.19, ... , 9.59, 9.69, 10]
if
cursor = 17.2
origin = 15.2
plot_origin = 15.2
then
target_time_data = [15.2, 15.6, ... , 16.8, 17.2]
||
\/
target_time_data = [0, 0.4, ... , 1.6, 2.0]
target_channel_data =
[
[0.1, 0.3, ... , 0.7],
[0.2, 0.6, ... , 0.8],
]
||
\/
target_channel_data =
[
[20.1, 20.3, ... , 20.7],
[10.2, 10.6, ... , 10.8],
]
"""
if self.mode == "Scan":
origin = self.param['origin']
origin_idx = self.param['idx']['origin']
cursor_idx = self.param['idx']['cursor']
last_origin_idx = self.param['idx']['last_origin']
shifted_channel_data = list()
if last_origin_idx is not None:
target_time_data = time_data[origin_idx:cursor_idx+1] \
+ time_data[last_origin_idx:origin_idx]
for idx, time_stamp in enumerate(target_time_data):
if time_stamp >= origin:
target_time_data[idx] = time_stamp - origin
else:
target_time_data[idx] = time_stamp + window_size - origin
for shifted, ch in enumerate(reversed(channels), start=1):
channel_d = channel_data[ch-1][origin_idx:cursor_idx+1] \
+ channel_data[ch-1][last_origin_idx:origin_idx]
shifted_channel_data.insert(0,[x+ shifted*10 \
for x in channel_d])
self.trans_events[:] = [event for event in self.trans_events
if (event['time'] >= self.param['last_origin'] and \
event['time'] <= self.param['cursor'])]
else:
target_time_data = time_data[origin_idx:cursor_idx+1]
target_time_data = [t - origin for t in target_time_data]
for shifted, ch in enumerate(reversed(channels), start=1):
channel_d = channel_data[ch-1][origin_idx:cursor_idx+1]
shifted_channel_data.insert(0,[x+ shifted*10 \
for x in channel_d])
self.trans_events[:] = [event for event in self.trans_events
if (event['time'] >= origin and \
event['time'] <= self.param['cursor'])]
self.time_data = target_time_data
self.channel_data = shifted_channel_data
for idx in range(len(self.trans_events)):
tmp_time = self.trans_events[idx]['time']
if tmp_time >= origin:
self.trans_events[idx]['time'] -= origin
elif tmp_time < origin:
self.trans_events[idx]['time'] += window_size
self.trans_events[idx]['time'] -= origin
elif self.mode == "Scroll":
origin = self.param['origin']
origin_idx = self.param['idx']['origin']
cursor_idx = self.param['idx']['cursor']
target_time_data = time_data[origin_idx:cursor_idx+1]
target_time_data = [t - origin for t in target_time_data]
shifted_channel_data = list()
for shifted, ch in enumerate(reversed(channels), start=1):
channel_d = channel_data[ch-1][origin_idx:cursor_idx+1]
shifted_channel_data.insert(0,[x+shifted*10 \
for x in channel_d])
self.time_data = target_time_data
self.channel_data = shifted_channel_data
self.trans_events[:] = [event for event in self.trans_events if (event['time'] >= origin and event['time'] <= self.param['cursor'])]
for event in self.trans_events:
event['time'] -= origin
self.cursor = self.param['cursor'] - origin