def get_histogram(data_id):
"""
:class:`flask:flask.Flask` route which returns output from numpy.histogram to front-end as JSON
:param data_id: integer string identifier for a D-Tale process's data
:type data_id: str
:param col: string from flask.request.args['col'] containing name of a column in your dataframe
:param query: string from flask.request.args['query'] which is applied to DATA using the query() function
:param bins: the number of bins to display in your histogram, options on the front-end are 5, 10, 20, 50
:returns: JSON {results: DATA, desc: output from pd.DataFrame[col].describe(), success: True/False}
"""
col = get_str_arg(request, 'col', 'values')
query = get_str_arg(request, 'query')
bins = get_int_arg(request, 'bins', 20)
try:
data = DATA[data_id]
if query:
data = data.query(query)
selected_col = find_selected_column(data, col)
data = data[~pd.isnull(data[selected_col])][[selected_col]]
hist = np.histogram(data, bins=bins)
desc = load_describe(data[selected_col])
return jsonify(data=[json_float(h) for h in hist[0]], labels=['{0:.1f}'.format(l) for l in hist[1]], desc=desc)
except BaseException as e:
return jsonify(dict(error=str(e), traceback=str(traceback.format_exc())))
def __init__(self, data_id, req):
self.data_id = data_id
self.analysis_type = get_str_arg(req, "type")
curr_settings = global_state.get_settings(data_id) or {}
self.query = build_query(data_id, curr_settings.get("query"))
data = load_filterable_data(data_id, req, query=self.query)
self.selected_col = find_selected_column(
data, get_str_arg(req, "col", "values")
)
self.data = data[~pd.isnull(data[self.selected_col])]
self.dtype = find_dtype(self.data[self.selected_col])
self.classifier = classify_type(self.dtype)
self.code = build_code_export(
data_id,
imports="{}\n".format(
"\n".join(
[
"import numpy as np",
"import pandas as pd",
"import plotly.graph_objs as go",
]
)
),
)
if self.analysis_type is None:
self.analysis_type = (
"histogram" if self.classifier in ["F", "I", "D"] else "value_counts"
)
if self.analysis_type == "geolocation":
self.analysis = GeolocationAnalysis(req)
elif self.analysis_type == "histogram":
self.analysis = HistogramAnalysis(req)
elif self.analysis_type == "categories":
self.analysis = CategoryAnalysis(req)
elif self.analysis_type == "value_counts":
self.analysis = ValueCountAnalysis(req)
elif self.analysis_type == "word_value_counts":
self.analysis = WordValueCountAnalysis(req)
elif self.analysis_type == "qq":
self.analysis = QQAnalysis()