def get_distribution_plot(user, *args, **kwargs):
data = request.get_json()
my_filters = get_filter_from_data(data)
data_keys = data.get("fields", {})
nbins = data.get("nbins", 20)
ptype = data.get("ptype", 20)
plot_data = get_sample_fields_values(data_keys, my_filters)
html = generate_distribution_plot(plot_data, nbins, ptype)
return jsonify({'success': True, 'plot': html})
def get_comparison_plot(user, *args, **kwargs):
data = request.get_json()
my_filters = get_filter_from_data(data)
data_keys = data.get("fields", {})
field_names = data.get("field_names", {})
plot_data = get_sample_fields_values(data_keys.values(),
my_filters,
num_fieldids=True)
html = generate_comparison_plot(plot_data, data_keys, field_names)
return jsonify({'success': True, 'plot': html})
def get_comparison_plot(user, *args, **kwargs):
data = request.get_json()
my_filters = get_filter_from_data(data)
data_keys = data.get("fields", {})
field_names = data.get("field_names", {})
pointsize = data.get("pointsize", 10)
joinmarkers = data.get("joinmarkers", False)
plot_data = get_sample_fields_values(data_keys.values(),
my_filters,
num_fieldids=True)
html = generate_comparison_plot(plot_data, data_keys, field_names,
pointsize, joinmarkers)
return jsonify({"success": True, "plot": html})
def get_sample_data(user, *args, **kwargs):
data = request.get_json()
my_filters = get_filter_from_data(data)
data_keys = data.get("fields", {})
ret_data = get_sample_fields_values(data_keys, my_filters)
return jsonify(ret_data)