def createHistogram(key):
data = json.load(open('FinishedCourseData/pausePlayBins.json'))[key]
x = sorted([float(num) for num in data.keys()])
strX = [str(i) for i in x]
y = np.array([data[i] for i in strX], dtype=np.float)
output_file('pausePlay.html')
p2 = figure(title="PausePlay for " + key,
tools="",
x_range=strX,
y_range=[0, int(max(y))],
background_fill='#59636C',
plot_width=1600,
plot_height=800)
xSize = [c + ":0.5" for c in strX]
p2.rect(x=xSize, y=y / 2, width=0.2, height=y, color="gold", alpha=0.8)
p2.xgrid.grid_line_color = None
p2.axis.major_label_text_font_size = "8pt"
p2.axis.major_label_standoff = 0
p2.xaxis.major_label_orientation = np.pi / 3
p2.xaxis.major_label_standoff = 5
p2.xaxis.major_tick_out = 0
# show the plots arrayed in a VBox
show(VBox(p2))
def createHistogram(key):
data =json.load(open('FinishedCourseData/pausePlayBins.json'))[key]
x=sorted([float(num) for num in data.keys()])
strX=[str(i) for i in x]
y = np.array([data[i] for i in strX], dtype=np.float)
output_file('pausePlay.html')
p2 = figure(title="PausePlay for "+key, tools="",
x_range=strX, y_range=[0, int(max(y))],
background_fill='#59636C', plot_width=1600, plot_height=800)
xSize = [c+":0.5" for c in strX]
p2.rect(x=xSize, y=y/2, width=0.2, height=y, color="gold", alpha=0.8)
p2.xgrid.grid_line_color = None
p2.axis.major_label_text_font_size = "8pt"
p2.axis.major_label_standoff = 0
p2.xaxis.major_label_orientation = np.pi/3
p2.xaxis.major_label_standoff = 5
p2.xaxis.major_tick_out = 0
# show the plots arrayed in a VBox
show(VBox(p2))
import json
import numpy as np
from bokeh.plotting import *
from bokeh.sampledata.olympics2014 import data
from bokeh.objects import ColumnDataSource, Range1d
data = { d['abbr']: d['medals'] for d in data['data'] if d['medals']['total'] > 0}
# pull out just the data we care about
countries = sorted(
data.keys(),
key=lambda x: data[x]['total'], reverse=True
)
gold = np.array([data[abbr]['gold'] for abbr in countries], dtype=np.float)
silver = np.array([data[abbr]['silver'] for abbr in countries], dtype=np.float)
bronze = np.array([data[abbr]['bronze'] for abbr in countries], dtype=np.float)
# EXERCISE: output static HTML file
output_file('olympics.html')
# EXERCISE: turn on plot hold
hold()
# use the `rect` renderer to display stacked bars of the medal results. Note
# that we set y_range explicitly on the first renderer with a `Range1d` object
rect(x=countries, y=bronze/2, width=0.8, height=bronze, x_range=countries, color="#CD7F32", alpha=0.6,
background_fill='#59636C', title="Olympic Medals by Country (stacked)", tools="",
y_range=Range1d(start=0, end=max(gold+silver+bronze)), plot_width=800)
rect(x=countries, y=bronze+silver/2, width=0.8, height=silver, x_range=countries, color="silver", alpha=0.6)
# EXERCISE: add a `rect` renderer to stack the gold medal results
import json
import numpy as np
from bokeh.plotting import *
from bokeh.sampledata.olympics2014 import data
from bokeh.models import ColumnDataSource
data = { d['abbr']: d['medals'] for d in data['data'] if d['medals']['total'] > 0}
# pull out just the data we care about
countries = sorted(
data.keys(),
key=lambda x: data[x]['total'], reverse=True
)
gold = np.array([data[abbr]['gold'] for abbr in countries], dtype=np.float)
silver = np.array([data[abbr]['silver'] for abbr in countries], dtype=np.float)
bronze = np.array([data[abbr]['bronze'] for abbr in countries], dtype=np.float)
# EXERCISE: output static HTML file
output_file('olympics.html')
# EXERCISE: turn on plot hold
hold()
# use the `rect` renderer to display stacked bars of the medal results. Note
# that we set y_range explicitly on the first renderer
rect(x=countries, y=bronze/2, width=0.8, height=bronze, x_range=countries, color="#CD7F32", alpha=0.6,
background_fill='#59636C', title="Olympic Medals by Country (stacked)", tools="",
y_range=[0, max(gold+silver+bronze)], plot_width=800)
rect(x=countries, y=bronze+silver/2, width=0.8, height=silver, x_range=countries, color="silver", alpha=0.6)
# EXERCISE: add a `rect` renderer to stack the gold medal results
import json
import numpy as np
from bokeh.plotting import *
from bokeh.sampledata.olympics2014 import data
from bokeh.objects import ColumnDataSource
data = {
d['abbr']: d['medals']
for d in data['data'] if d['medals']['total'] > 0
}
# pull out just the data we care about
countries = sorted(data.keys(), key=lambda x: data[x]['total'], reverse=True)
gold = np.array([data[abbr]['gold'] for abbr in countries], dtype=np.float)
silver = np.array([data[abbr]['silver'] for abbr in countries], dtype=np.float)
bronze = np.array([data[abbr]['bronze'] for abbr in countries], dtype=np.float)
# EXERCISE: output static HTML file
output_file('olympics.html')
# EXERCISE: turn on plot hold
hold()
# use the `rect` renderer to display stacked bars of the medal results. Note
# that we set y_range explicitly on the first renderer
rect(x=countries,
y=bronze / 2,
width=0.8,
height=bronze,
x_range=countries,
color="#CD7F32",