import sys
sys.path.insert(0, '../utilities')
import add_subdir_to_path
import pandas as pd
import matplotlib.pyplot as plt
import glob
from mysql_populate_table import get_pos_news_date , get_neg_news_date, getplayerscore
from dateutil import parser
import my_config
t=my_config.ConfigSectionMap("logging")['output_dir']
player_name="alvaro-morata" ## "antoine-griezmann"#"radja-nainggolan"
player_surname="zaha"
path =r'/Users/ashish/Documents/footballindex/data/' # use your path
allFiles = glob.glob(path + "*.txt")
scores=getplayerscore(player_name)
player=scores.loc[scores.player_id==player_name, ["bprice",
"last_1min_pct_change",
"last_2min_pct_change",
"last_3min_pct_change",
"last_4min_pct_change",
"last_5min_pct_change",
"last_6min_pct_change",
"last_7min_pct_change",
# myplot.py
from bokeh.plotting import figure, curdoc
from bokeh.driving import linear
import random
import api_parser
import my_config
from bokeh.plotting import figure, show, output_file
from bokeh.models import Legend
import datetime
from bokeh.models import DatetimeTickFormatter
BOKEH_PY_LOG_LEVEL = True
#Set the API link
api_link = my_config.ConfigSectionMap("football")['api_link']
TOOLS = "crosshair,pan,wheel_zoom,box_zoom,reset,hover,previewsave"
#p = figure(x_axis_type="datetime", plot_width=900, plot_height=700, tools=TOOLS)
#p.xaxis.axis_label = 'Date'
#p.yaxis.axis_label = 'Price'
#r= p.line([], [], color='green' , legend="legend" ,line_width=4)
def datetime(x):
return np.array(x, dtype=np.datetime64)
p = figure(plot_width=900, plot_height=700, x_axis_type="datetime")
from mysql_populate_table import insert_d_player_list
import my_config
import ssl
## Disable SSL certificate check
try:
_create_unverified_https_context = ssl._create_unverified_context
except AttributeError:
# Legacy Python that doesn't verify HTTPS certificates by default
pass
else:
# Handle target environment that doesn't support HTTPS verification
ssl._create_default_https_context = _create_unverified_https_context
#Set Logging directories
output_dir = my_config.ConfigSectionMap("logging")['output_dir']
#Set the API link
api_link = my_config.ConfigSectionMap("football")['api_link']
def coalesce(dic, lkp_key, default_value):
if lkp_key in dic:
return str((dic[lkp_key]))
else:
return default_value
#function to get data in a pipe delimited format
def get_data(datetime_id, df, txn_date, txn_time, data_file):