rizam's picture
Duplicate from Adapting/literature-research-tool
2ddc64d
from typing import List
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure
from bokeh.transform import dodge
import numpy as np
COLORS = [
'#FE2D01',
'#016CFE',
'#FEB101',
'#FE018B',
'#AAB7B8',
'#212F3D'
]
'''
clusters = ['Cluster 1', 'C 2', 'C 3', 'Plums', 'Grapes', 'Strawberries']
years = ['number of papers', 'number of keyphrases', ]
data = {'clusters': clusters,
f'{years[0]}': [2, 1, 4, 3, 2, 4],
f'{years[1]}': [5, 3, 3, 2, 4, 6],
}
source = ColumnDataSource(data=data)
p = figure(x_range=clusters, title="Fruit counts by year",
toolbar_location=None, tools="")
p.vbar(x=dodge('clusters', -0.25, range=p.x_range), top=f'{years[0]}', width=0.2, source=source,
color="#c9d9d3", legend_label="2015")
p.vbar(x=dodge('clusters', 0.0, range=p.x_range), top=f'{years[1]}', width=0.2, source=source,
color="#718dbf", legend_label="2016")
p.x_range.range_padding = 0.1
p.xgrid.grid_line_color = None
p.legend.location = "top_left"
p.legend.orientation = "horizontal"
'''
def build_bar_charts(x_range: List, y_names: List[str], y_data = List[List]):
valid_y = lambda x: len(x) == len(x_range)
if not (len(y_names) == len(y_data) and all(map(valid_y,y_data))):
raise RuntimeError('The data shapes are not aligned.')
if len(y_names) % 2 == 0:
offsets = [-0.125 - 0.25*(i-1) for i in range(len(y_names)//2,0,-1)]
offsets += [0.125 + 0.25*(i) for i in range(len(y_names)//2)]
else:
offsets = [-0.25 * i for i in range(len(y_names)//2,0,-1)]
offsets.append(0)
offsets += [0.25* (i+1) for i in range(len(y_names)//2)]
data = {
'x': x_range
}
for i,y in enumerate(y_data):
data[f'y{i}'] = y
source = ColumnDataSource(data)
p = figure(x_range=x_range,
tools = "box_zoom,save,reset",
height=500,
y_range=(0,np.max(y_data)+10)
)
for i,y in enumerate(y_data):
p.vbar(x=dodge('x', offsets[i], range=p.x_range), top=f'y{i}', width=0.2, source=source,
color=COLORS[i], legend_label=y_names[i])
p.x_range.range_padding = 0.1
p.xgrid.grid_line_color = None
p.legend.location = "top_left"
p.legend.orientation = "horizontal"
return p