def samples_time_series():
""" Generate time series example for preview
"""
time_column = request.args.get('time')
value_columns = request.args.get('values').split(',')
time_format = request.args.get('tf')
# separator processing
separator = request.args.get('sep', ',')
separator = separator.replace('\\t', '\t')
aliases = {'dot': '.', 'comma': ',', 'tab': '\t', 'space': ' '}
if separator in aliases:
separator = aliases[separator]
# check headless or not
header = True
if all(n.isdigit() for n in [time_column] + value_columns):
header = False
# generate all columns for headless csv
if not header:
max_column_n = max([int(v) for v in value_columns] + [0])
value_columns = range(1, max_column_n + 1)
ts = generate_time_series_json(time_column, value_columns, time_format)
csv_data = pd.DataFrame.from_dict(ts).to_csv(index=False,
header=header,
sep=separator).encode('utf-8')
mem = io.BytesIO()
mem.write(csv_data)
mem.seek(0)
return send_file(mem,
as_attachment=False,
attachment_filename='time-series.csv',
mimetype='text/csv')
def samples_time_series():
"""Generate time series example for preview"""
time_column = request.args.get("time", "")
value_columns = request.args.get("values", "").split(",")
time_format = request.args.get("tf")
# separator processing
separator = request.args.get("sep", ",")
separator = separator.replace("\\t", "\t")
aliases = {"dot": ".", "comma": ",", "tab": "\t", "space": " "}
if separator in aliases:
separator = aliases[separator]
# check headless or not
header = True
if all(n.isdigit() for n in [time_column] + value_columns):
header = False
# generate all columns for headless csv
if not header:
max_column_n = max([int(v) for v in value_columns] + [0])
value_columns = range(1, max_column_n + 1)
ts = generate_time_series_json(time_column, value_columns, time_format)
csv_data = (pd.DataFrame.from_dict(ts).to_csv(
index=False, header=header, sep=separator).encode("utf-8"))
mem = io.BytesIO()
mem.write(csv_data)
mem.seek(0)
return send_file(
mem,
as_attachment=False,
attachment_filename="time-series.csv",
mimetype="text/csv",
)
