def plot(config, graph_type, group_by, sample_width, weekends_only,
business_days_only, no_outliers, out_file=None, included_channels=None,
limit_value=None):
"""Plot the gathered data.
"""
# We import plotly local to the function not to slow down the rest of the program,
# for example printing the help text. Import plotly adds 1.4s to execution time.
import plotly
rows = csvio.loadAll(config)
device_name = rows[0][1]
channel_labels = data.get_labels(rows)
rows = rows[data.get_first_data_point_index(rows):]
if weekends_only:
rows = data.filter_weekends(rows, True)
if business_days_only:
rows = data.filter_weekends(rows, False)
if not rows:
raise RuntimeError("After filtering the data for weekends or weekdays "
"there was no data left to plot.")
if graph_type == 'scatter':
columns = data.get_columns(rows)
figure = construct_line_or_scatter(channel_labels, columns, included_channels,
device_name, 'markers', limit_value)
elif graph_type == 'line':
columns = data.get_columns(rows)
figure = construct_line_or_scatter(channel_labels, columns, included_channels,
device_name, 'line', limit_value)
elif graph_type == 'box':
groups = data.group(rows, group_by, sample_width)
groups = data.rotate_group_with_time_to_start(groups, datetime.time(3, 0))
figure = construct_box(channel_labels, groups, group_by, included_channels,
device_name, no_outliers, limit_value)
if not out_file:
out_file = graph_type + '-plot_grouped_by_' + group_by + '.html'
plotly.offline.plot(figure, filename=out_file)
def dump(config, out_path):
"""Output one big csv file containing all the data gathered thus far."""
if config.verbose:
click.echo('Dumping to' + out_path)
rows = csvio.loadAll()
csvio.writeRows(rows, out_path)
def dump(config, out_path):
"""Output one big csv file containing all the data gathered thus far."""
if config.verbose:
click.echo('Dumping to' + out_path)
rows = csvio.loadAll()
csvio.writeRows(rows, out_path)
