superset/app/highchart.py

157 lines
4.8 KiB
Python

import pandas
import copy
from pandas.io.json import dumps
class Highchart(object):
def __init__(
self, df,
chart_type="spline",
target_div="#chart",
polar=False,
width=None,
height=None,
show_legend=True,
stockchart=True,
title=None,
tooltip=None,
sort_columns=False,
secondary_y=None,
mark_right=False,
compare=False,
stacked=False,
logx=False,
logy=False,
xlim=None,
ylim=None,
grid=False,
zoom=None):
self.df = df
self.chart_type = chart_type
self.chart = chart = {}
self.stockchart = stockchart
self.sort_columns = sort_columns
self.secondary_y = secondary_y or []
self.mark_right = mark_right
self.compare = compare
self.logx = logx
self.logy = logy
self.xlim = xlim
self.ylim = ylim
self.zoom = zoom
self.polar = polar
self.grid = grid
chart['chart'] = {}
chart['chart']["type"] = chart_type
chart['chart']['renderTo'] = target_div
if width:
chart['chart']["width"] = width
if height:
chart['chart']["height"] = height
chart['chart']['polar'] = polar
chart["legend"] = {
"enabled": show_legend
}
if title:
chart["title"] = {"text": title}
if tooltip:
chart['tooltip'] = tooltip
if self.zoom:
chart["zoomType"] = self.zoom
self.serialize_series()
self.serialize_xaxis()
self.serialize_yaxis()
self.chart = chart
def serialize_series(self):
df = self.df
chart = self.chart
if self.sort_columns:
df = df.sort_index()
series = df.to_dict('series')
chart["series"] = []
for name, data in series.items():
if df[name].dtype.kind not in "biufc":
continue
sec = name in self.secondary_y
d = {
"name": name if not sec or self.mark_right else name + " (right)",
"yAxis": int(sec),
"data": zip(df.index, data.tolist())
}
if self.polar:
d['data'] = [v for k, v in d['data']]
if self.compare:
d['compare'] = self.compare # either `value` or `percent`
if self.chart_type in ("area", "bar") and self.stacked:
d["stacking"] = 'normal'
#if kwargs.get("style"):
# d["dashStyle"] = pd2hc_linestyle(kwargs["style"].get(name, "-"))
chart["series"].append(d)
def serialize_xaxis(self):
df = self.df
x_axis = {}
if df.index.name:
x_axis["title"] = {"text": df.index.name}
if df.index.dtype.kind in "M":
x_axis["type"] = "datetime"
if df.index.dtype.kind == 'O':
chart['xAxis']['categories'] = sorted(list(df.index)) if self.sort_columns else list(df.index)
if self.grid:
x_axis["gridLineWidth"] = 1
x_axis["gridLineDashStyle"] = "Dot"
if self.logx:
x_axis["type"] = 'logarithmic'
if self.xlim:
x_axis["min"] = self.xlim[0]
x_axis["max"] = self.xlim[1]
'''
if "rot" in kwargs:
x_axis["labels"] = {"rotation": kwargs["rot"]}
if "fontsize" in kwargs:
x_axis.setdefault("labels", {})["style"] = {"fontSize": kwargs["fontsize"]}
if "xticks" in kwargs:
x_axis["tickPositions"] = kwargs["xticks"]
'''
self.x_axis = x_axis
def serialize_yaxis(self):
yAxis = {}
chart = self.chart
if self.grid:
yAxis["gridLineWidth"] = 1
yAxis["gridLineDashStyle"] = "Dot"
if self.logy:
yAxis["type"] = 'logarithmic'
if self.ylim:
yAxis["min"] = self.ylim[0]
yAxis["max"] = self.ylim[1]
'''
if "rot" in kwargs:
yAxis["labels"] = {"rotation": kwargs["rot"]}
if "fontsize" in kwargs:
yAxis.setdefault("labels", {})["style"] = {"fontSize": kwargs["fontsize"]}
if "yticks" in kwargs:
yAxis["tickPositions"] = kwargs["yticks"]
'''
chart["yAxis"] = [yAxis]
if self.secondary_y:
yAxis2 = copy.deepcopy(yAxis)
yAxis2["opposite"] = True
chart["yAxis"].append(yAxis2)
@property
def javascript_cmd(self):
js = dumps(self.chart)
if self.stockchart:
return "new Highcharts.StockChart({});".format(js)
return "new Highcharts.Chart({});".format(js)