def bar_response(results_list, output_path):
output_dir = os.path.join(output_path, "charts")
if os.path.isdir(output_dir) is False:
os.mkdir(output_dir)
tools = "pan,wheel_zoom,box_zoom,reset,hover,save"
for df in results_list:
print(df)
p = Bar(df,
label='hh_type',
values='perc_res',
stack='digital',
title="a_title",
legend='top_right',
tools=tools)
hover = p.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [
("count", "@height"),
]
output_file_path = os.path.join(output_dir, 'test bar.html')
output_file(output_file_path)
show(p)
def bar_response(results_list, output_path):
output_dir = os.path.join(output_path, "charts")
if os.path.isdir(output_dir) is False:
os.mkdir(output_dir)
tools = "pan,wheel_zoom,box_zoom,reset,hover,save"
for df in results_list:
print(df)
p = Bar(df, label='hh_type', values='perc_res', stack='digital', title="a_title",
legend='top_right', tools=tools)
hover = p.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [
("count", "@height"),
]
output_file_path = os.path.join(output_dir, 'test bar.html')
output_file(output_file_path)
show(p)
def make_stacked_bar_chart(buckets,
stack,
data,
palette,
width=500,
height=500):
cp = data
if buckets == "day":
cp[buckets] = cp.apply(lambda row: row['pickup_datetime'].weekday(),
axis=1)
elif buckets == "month":
cp[buckets] = cp.apply(lambda row: row['pickup_datetime'].month,
axis=1)
TOOLS = "pan,reset,hover,save"
stacked_bar = Bar(cp,
label=buckets,
values=buckets,
agg='count',
stack=cat(stack, sort=True),
tools=TOOLS,
title="{0} Stacked Bar for {1}".format(
("Daily" if buckets == "day" else "Monthly"),
stack.replace("_", " ").title()),
palette=palette,
plot_width=width,
plot_height=height,
toolbar_location="above",
toolbar_sticky=False,
legend_sort_field='color',
legend_sort_direction='ascending',
responsive=True)
hover = stacked_bar.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [("Frequency", "@height"),
("{0}".format(stack.replace("_", " ").title()),
"@{0}".format(stack))]
def day_ticker():
days = [
"Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday",
"Sunday"
]
if abs(int(round(tick)) - tick) < .05:
return days[int(round(tick))]
else:
return ""
def month_ticker():
months = [
"January", "February", "March", "April", "May", "June", "July"
]
if abs(int(round(tick)) - tick) < .05:
return months[int(round(tick))]
else:
return ""
if buckets == "day":
stacked_bar.xaxis.formatter = FuncTickFormatter.from_py_func(
day_ticker)
else:
stacked_bar.xaxis.formatter = FuncTickFormatter.from_py_func(
month_ticker)
stacked_bar.grid.grid_line_color = "SlateGray"
stacked_bar.grid.grid_line_alpha = .5
stacked_bar.grid.minor_grid_line_color = "SlateGray"
stacked_bar.grid.minor_grid_line_alpha = .2
return stacked_bar
def templateCoefRegression(c='c00001'):
data = pd.read_csv(DATA + 'LogisticRegressionCoef_' + c + '_true.csv', header=0)
data_month = data.ix[12:23, ]
data_month = data_month.reindex([16, 15, 19, 12, 20, 18, 17, 13, 23, 22, 21, 14])
data_empl = data.ix[0:11, ]
data_empl = data_empl.reindex([10, 0, 2, 3, 4, 5, 6, 7, 8, 9, 1, 11])
data_state = data.ix[24:74, ]
data_other = data.ix[75:76, ]
pMonth = Bar(data_month, 'coef', values='val', legend=False, tools='hover')
pMonth.x_range = FactorRange(factors=data_month['coef'].tolist())
pMonth.xaxis.axis_label = 'Coefficients'
pMonth.yaxis.axis_label = 'Value'
hover = pMonth.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [
("Coef: ", "@coef"),
("Value: ", "@height")
]
# show(pMonth)
pEmpl = Bar(data_empl, 'coef', values='val', legend=False, tools='hover')
pEmpl.x_range = FactorRange(factors=data_empl['coef'].tolist())
pEmpl.xaxis.axis_label = 'Coefficients'
pEmpl.yaxis.axis_label = 'Value'
hover = pEmpl.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [
("Coef: ", "@coef"),
("Value: ", "@height")
]
# show(pEmpl)
pState = Bar(data_state, 'coef', values='val', legend=False, tools='hover', width=1200)
# # pState.x_range = FactorRange(factors=dm['coef'].tolist())
pState.xaxis.axis_label = 'Coefficients'
pState.yaxis.axis_label = 'Value'
hover = pState.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [
("Coef: ", "@coef"),
("Value: ", "@height")
]
# show(pState)
pOther = Bar(data_other, 'coef', values='val', legend=False, tools='hover')
pOther.xaxis.axis_label = 'Coefficients'
pOther.yaxis.axis_label = 'Value'
# pOther.x_range = FactorRange(factors=data_other['coef'].tolist())
hover = pOther.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [
("Coef: ", "@coef"),
("Value: ", "@height")
]
# show(pOther)
scriptM, divM = components(pMonth)
scriptE, divE = components(pEmpl)
scriptS, divS = components(pState)
scriptO, divO = components(pOther)
dic_r = {'month': [scriptM, divM], 'empl': [scriptE, divE], 'state': [scriptS, divS], 'other': [scriptO, divO]}
return dic_r
