def update_graph(test, n):
"""
update graph in time and dropdown
"""
#ADD MORE FIGURES FOR MORE GRAPHICS
fig = plotly.tools.make_subplots()
if test != TEST:
# callback input was value, so has changed test type
print(f'FILNAME {file_name}')
TEST = test
if file_name != None and save_file == False:
shell.run(['rm', file_name])
file_name = 'T' + str(TEST) + 'csv'
data['y'] = []
data['x'] = []
if pass_interval != n:
new_data = rd.uniform(-10 * TEST, 10 * TEST) #get_data_from_test
pass_interval = n
if n > LENGHT:
data['y'] = data['y'][1:] + [new_data]
data['x'] = list(map(lambda x: x + 1, data['x']))
# all data are new, so save into the cvs file
if n % SAVE_LENGHT == 0:
my_csv.save_csv(file_name, [data['x'], data['y']])
print("Updating in data.cvs")
else:
data['x'].append(new_data)
fig.append_trace({'x': data['x'], 'y': data['y'], 'type': 'scatter'}, 1, 1)
return fig
def update_data(data,test):
"""update data of a particular test
"""
data['time'].append(time.time())
for i in PARAMETERS:
# add here comunication
data[test][i].append( rd.randrange(MIN_Y ,MAX_Y) )
#sabe data
my_csv.save_csv(test ,[ data['time'] , data[test]['voltage'] , data[test]['current'] , data[test]['capacity'] ] )
return data
def update_graph(n):
fig = plotly.tools.make_subplots()
new_data = rd.uniform(-10, 10)
if n > LENGHT:
data['y'] = data['y'][1:] + [new_data]
data['x'] = list(map(lambda x: x + 1, data['x']))
# all data are new, so save into the cvs file
if n % LENGHT == 0:
my_csv.save_csv("data.cvs", [data['x'], data['y']])
print("Updating in data.cvs")
else:
data['x'].append(new_data)
fig.append_trace({'x': data['x'], 'y': data['y'], 'type': 'scatter'}, 1, 1)
return fig