def __init__(self, type, color, weight, wheel_size, brake_type, price,
bike_subtype, has_suspension, gear_count):
Bikes.__init__(self, type, color, weight, wheel_size, brake_type,
price)
self.bike_subtype = bike_subtype
self.has_suspension = has_suspension
self.gear_count = gear_count
def __init__(self, type, color, weight, wheel_size, brake_type, price,
max_speed, frame_material, safety_score):
Bikes.__init__(self, type, color, weight, wheel_size, brake_type,
price)
self.max_speed = max_speed
self.frame_material = frame_material
self.safety_score = safety_score
import numpy as np
import os
from os import listdir
from os.path import isfile, join, dirname
from bokeh.plotting import figure
from bokeh.layouts import layout, widgetbox
from bokeh.models import ColumnDataSource, Div, HoverTool
from bokeh.models.widgets import Slider, Select, TextInput, DateRangeSlider
from bokeh.io import curdoc
from bokeh.models.annotations import Title
from bokeh.models.callbacks import CustomJS
from bikes import Bikes
df, stations, min_date, max_date = Bikes.retrieve_data()
stations_names = stations.name.tolist()
path = os.getcwd()
filename = "bike_meter.html"
desc = Div(text=open(join(path, filename)).read(), width=800)
axis_map = {
"empty_slots": "empty_slots",
"free_bikes": "free_bikes",
"total_slots": "total_slots",
"usage_ratio": "usage_ratio"
}
# Create Column Data Source that will be used by the plot
def total_worth(self, current_discount, total_use):
msrp = Bikes.calc_msrp(self, current_discount)
total_worth = msrp * total_use
print(total_worth)
def __init__(self, type, color, weight, wheel_size, brake_type, price,
has_pegs, has_gyro):
Bikes.__init__(self, type, color, weight, wheel_size, brake_type,
price)
self.has_pegs = has_pegs
self.has_gyro = has_gyro