def draw_constant_salary_bump(s: figure, constant_list: list, pay_norm: int):
"""
Draw lines for constant salary increase
"""
constant_list0 = [c / pay_norm for c in constant_list]
if CURRENCY_NORM and pay_norm == 1:
constant_list0 = [a / 1e3 for a in constant_list]
x_max = 2500.
if pay_norm > 1:
x_max = 1200.
for c, constant in enumerate(constant_list0):
x = np.arange(max([s.x_range.start, constant + 1]), x_max, 5)
y = 100 * constant / (x - constant)
if pay_norm == 1:
text = f'${constant}k'
else:
text = f'${constant_list[c]/1e3}k (${constant:.2f}/hr)'
source = ColumnDataSource(data=dict(x=x, y=y, name=[text] * len(x)))
s.line('x', 'y', line_dash='dashed', line_color='black', source=source)
y_label = constant_list[c] / 1e3
x_label = constant + 100 * constant / y_label
label = Label(x=x_label, y=y_label, text=text)
s.add_layout(label)
return s
def setup_timeline_backend_parts(plot: figure,
desc_label_source: ColumnDataSource) -> None:
"""
:param plot:
:param desc_label_source:
:return:
"""
start_date, end_date = plot.x_range.start, plot.x_range.end
arrow_x = start_date + datetime.timedelta(days=180)
# 補助線を引く
plot.line([start_date, end_date], [1, 1], line_width=3, line_color='pink')
plot.line([start_date, end_date], [0.5, 0.5],
line_width=3,
line_dash='dotted',
line_color='pink')
plot.line([start_date, end_date], [1.5, 1.5],
line_width=3,
line_dash='dotted',
line_color='pink')
# 矢印を表示する
plot.add_layout(
Arrow(end=VeeHead(size=15),
line_color='black',
x_start=arrow_x,
y_start=1.4,
x_end=arrow_x,
y_end=1.1))
plot.add_layout(
Arrow(end=VeeHead(size=15),
line_color='black',
x_start=arrow_x,
y_start=0.9,
x_end=arrow_x,
y_end=0.6))
plot.text(source=desc_label_source,
x='x',
y='y',
text='text',
text_font_size='size',
text_alpha=0.8)
def bokeh_scatter(x,
y,
name: pd.Series = None,
x_err=None,
pay_norm: int = 1,
x_label: str = '',
y_label: str = '',
x_range: list = tuple([0, 500]),
title: str = '',
size: Union[int, float] = 4,
bc: str = "#f0f0f0",
bfc: str = "#fafafa",
fc="#f8b739",
ec="#f8b739",
alpha=0.5,
label: Optional[str] = None,
s: figure = None):
if s is None:
s = bokeh_scatter_init(pay_norm,
x_label,
y_label,
title=title,
x_range=x_range,
bc=bc,
bfc=bfc,
plot_constants=True)
if x_err is not None:
bin_range = ColumnDataSource(
data=dict(base=y, lower=x_err[0], upper=x_err[1]))
w = Whisker(source=bin_range,
base='base',
lower='lower',
upper='upper',
dimension='width',
line_color=fc)
w.upper_head.line_color = fc
w.lower_head.line_color = fc
s.add_layout(w)
if name is not None:
source = ColumnDataSource(data=dict(x=x, y=y, name=name))
s.scatter('x',
'y',
marker='circle',
fill_color=fc,
source=source,
line_color=ec,
alpha=alpha,
size=size,
legend_label=label)
else:
s.scatter('x',
'y',
marker='circle',
fill_color=fc,
line_color=ec,
alpha=alpha,
size=size,
legend_label=label)
return s