def to_json(self):
dct = self.__dict__.copy()
del dct['figure']
del dct['lab']
index = self.consolidate_index()
dct['index'] = index
return json.to_json(dct)
def to_json(self):
dct = self.__dict__.copy()
del dct['figure']
del dct['lab']
index = self.consolidate_index()
dct['index'] = index
return json.to_json(dct)
def to_json(self):
dct = {}
dct['stations'] = self.stations
return json.to_json(dct)
def to_json(self):
dct = {}
dct['stations'] = self.stations
return json.to_json(dct)
import numpy as np
import pandas as pd
from pandas import json
from ts_charting.json import to_json
import ts_charting.lab.lab as tslab
plot_index = pd.date_range(start="2000-1-1", freq="B", periods=10000)
df = pd.DataFrame(index=plot_index)
df['open'] = np.random.randn(len(plot_index))
df['high'] = np.random.randn(len(plot_index))
df['low'] = np.random.randn(len(plot_index))
df['close'] = np.random.randn(len(plot_index))
lab = tslab.Lab()
fig = lab.station('candle')
df.tail(5).ohlc_plot()
fig.plot_markers('high', df.high > df.high.shift(1), yvalues=df.open)
jd = to_json(lab)
obj = json.loads(jd)
