def drawer2(stage_name, data):
c_schema = [
{
"name": "乐",
"max": 0.55,
"min": 0
},
{
"name": "好",
"max": 0.55,
"min": 0
},
{
"name": "哀",
"max": 0.55,
"min": 0
},
{
"name": '恶',
"max": 0.55,
"min": 0
},
{
"name": "惧",
"max": 0.55,
"min": 0
},
]
c = (Radar().set_colors(["#CC3300"]).add_schema(
schema=c_schema,
shape="circle",
center=["50%", "50%"],
radius="80%",
angleaxis_opts=opts.AngleAxisOpts(
min_=0,
max_=360,
is_clockwise=False,
interval=5,
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=-4,
max_=4,
interval=2,
splitarea_opts=opts.SplitAreaOpts(
is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)),
),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=False),
splitline_opt=opts.SplitLineOpts(is_show=False),
).add(
series_name=stage_name,
data=data,
areastyle_opts=opts.AreaStyleOpts(opacity=0.1),
linestyle_opts=opts.LineStyleOpts(width=3),
).render("res\\output\\multi-emotion\\image\\" + stage_name + ".html"))
def test_radar_options(fake_writer):
c = (Radar().add_schema(
schema=[
opts.RadarIndicatorItem(name="销售", max_=6500),
opts.RadarIndicatorItem(name="管理", max_=16000),
opts.RadarIndicatorItem(name="信息技术", max_=30000),
opts.RadarIndicatorItem(name="客服", max_=38000),
opts.RadarIndicatorItem(name="研发", max_=52000),
opts.RadarIndicatorItem(name="市场", max_=25000),
],
radiusaxis_opts=opts.RadiusAxisOpts(),
angleaxis_opts=opts.AngleAxisOpts(),
polar_opts=opts.PolarOpts(),
).add("预算分配", v1).add(
"实际开销", v2).set_series_opts(label_opts=opts.LabelOpts(is_show=False)))
c.render()
_, content = fake_writer.call_args[0]
assert_in("radiusAxis", content)
assert_in("angleAxis", content)
assert_in("polar", content)
def radar_angle_radius_axis_opts() -> Radar:
data = [
{
"value": [4, -4, 2, 3, 0, 1],
"name": "预算分配"
},
]
c_schema = [
{
"name": "销售",
"max": 4,
"min": -4
},
{
"name": "管理",
"max": 4,
"min": -4
},
{
"name": "技术",
"max": 4,
"min": -4
},
{
"name": "客服",
"max": 4,
"min": -4
},
{
"name": "研发",
"max": 4,
"min": -4
},
{
"name": "市场",
"max": 4,
"min": -4
},
]
c = (Radar().set_colors(["#4587E7"]).add_schema(
schema=c_schema,
shape="circle",
center=["50%", "50%"],
radius="80%",
angleaxis_opts=opts.AngleAxisOpts(
min_=0,
max_=360,
is_clockwise=False,
interval=5,
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=-4,
max_=4,
interval=2,
splitarea_opts=opts.SplitAreaOpts(
is_show=True,
areastyle_opts=opts.AreaStyleOpts(opacity=1),
)),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=False),
splitline_opt=opts.SplitLineOpts(is_show=False),
).add(
series_name="预算",
data=data,
areastyle_opts=opts.AreaStyleOpts(opacity=0.1),
linestyle_opts=opts.LineStyleOpts(width=1),
))
return c
c = (Radar().set_colors(["#4587E7"]).add_schema(
schema=c_schema,
shape="circle",
center=["50%", "50%"],
radius="80%",
angleaxis_opts=opts.AngleAxisOpts(
min_=0,
max_=360,
is_clockwise=False,
interval=5,
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=-4,
max_=4,
interval=2,
splitarea_opts=opts.SplitAreaOpts(
is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)),
),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=False),
splitline_opt=opts.SplitLineOpts(is_show=False),
).add(
series_name="预算",
data=data,
areastyle_opts=opts.AreaStyleOpts(opacity=0.1),
linestyle_opts=opts.LineStyleOpts(width=1),
).render("Radar_angle_radius_axis.html"))
def Radar_pic(name, datas, ifratio) -> Radar:
color = ["#ff7f00"] if ifratio else ["#4587E7"]
data = [{"value": datas, "name": name}]
watermax = 1000 if datas[0] < 1000 else datas[0] * 1.1
mountainmax = 1000 if datas[1] < 1000 else datas[1] * 1.1
corridormax = 1000 if datas[2] < 1000 else datas[2] * 1.1
secondmax = 250 if datas[3] < 250 else datas[3] * 1.1
intermax = 500 if datas[4] < 500 else datas[4] * 1.1
landscapemax = 250 if datas[5] < 250 else datas[5] * 1.1
mainmax = 250 if datas[6] < 250 else datas[6] * 1.1
othermax = 450 if datas[7] < 450 else datas[7] * 1.1
waterratio = 0.25 if datas[0] < 0.25 else datas[0] * 1.2
mountainratio = 0.25 if datas[1] < 0.25 else datas[1] * 1.1
c_schema = [
{
"name": "主水",
"max": round(waterratio, 2) if ifratio else round(watermax)
},
{
"name": "主山",
"max": round(mountainratio, 2) if ifratio else round(mountainmax)
},
{
"name": "廊道",
"max": 0.25 if ifratio else round(corridormax)
},
{
"name": "次路",
"max": 0.20 if ifratio else round(secondmax)
},
{
"name": "夹层",
"max": 0.20 if ifratio else round(intermax)
},
{
"name": "主景观建筑",
"max": 0.20 if ifratio else round(landscapemax)
},
{
"name": "主厅",
"max": 0.20 if ifratio else round(mainmax)
},
{
"name": "其他建筑",
"max": 0.20 if ifratio else round(othermax)
},
]
c = (
Radar().set_colors(color).add_schema(
schema=c_schema,
shape="circle",
# 图片中心位置
center=["50%", "50%"],
# 雷达图半径大小
radius="80%",
angleaxis_opts=opts.AngleAxisOpts(
# 径向轴大小
# min_=0,
# max_=360,
# is_clockwise=False,
# 径向轴间隔大小
interval=4,
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
textstyle_opts=opts.TextStyleOpts(font_size=20),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=0,
max_=1000,
interval=200,
splitarea_opts=opts.SplitAreaOpts(
is_show=False,
areastyle_opts=opts.AreaStyleOpts(opacity=1)),
),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=False),
splitline_opt=opts.SplitLineOpts(is_show=False),
).add(
series_name=name,
data=data,
# 透明度
areastyle_opts=opts.AreaStyleOpts(opacity=0.2),
# 线宽
linestyle_opts=opts.LineStyleOpts(width=2),
label_opts=opts.LabelOpts(font_size=20)).set_global_opts(
title_opts=opts.TitleOpts(
title=name,
pos_left="22%",
pos_top="10",
),
legend_opts=opts.LegendOpts(pos_right=10)))
return c
def view_radar(self, df_view):
"""
画雷达图
例子：
page_ = Page()
for v in view_lst:
view_label[1] = v
df_view = get_view_dt(df_all, 'label', view_label, call_cols, call_dct)
c = view_radar(df_view)
page_.add(c)
print(f'Finished {v}')
print('Finished all')
page_.render_notebook()
"""
c_schema = []
try:
add_name1, add_name2 = df_view.columns[1], df_view.columns[2]
add_value1, add_value2 = [
df_view.iloc[list(range(12)), 1].tolist()
], [df_view.iloc[list(range(12)), 2].tolist()]
max_v = max(max(add_value1[0]), max(add_value2[0]))
min_v = min(min(add_value1[0]), min(add_value2[0]))
max_v_set = 1 if max_v > 0.65 else max_v + min_v
for i in df_view.loc[list(range(12)), 'index']:
c_schema.append({"name": i, "max": max_v_set, "min": 0})
except:
add_name1, add_name2 = df_view.columns[1], df_view.columns[2]
add_value1, add_value2 = [df_view.iloc[:, 1].tolist()
], [df_view.iloc[:, 2].tolist()]
max_v = max(max(add_value1[0]), max(add_value2[0]))
min_v = min(min(add_value1[0]), min(add_value2[0]))
max_v_set = 1 if max_v > 0.65 else max_v + min_v
for i in df_view.loc[:, 'index']:
c_schema.append({"name": i, "max": max_v_set, "min": 0})
c = (Radar().add_schema(
c_schema,
shape="circle",
center=["50%", "50%"],
radius="80%",
angleaxis_opts=opts.AngleAxisOpts(
min_=0,
max_=360,
is_clockwise=False,
interval=5,
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=0,
max_=round(max_v_set, 3),
interval=round(max_v_set / 5, 3),
splitarea_opts=opts.SplitAreaOpts(
is_show=True,
areastyle_opts=opts.AreaStyleOpts(opacity=1)),
),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=False),
splitline_opt=opts.SplitLineOpts(is_show=False),
).add(add_name1, add_value1, color="#f9713c").add(
add_name2,
add_value2,
color="#b3e4a1",
areastyle_opts=opts.AreaStyleOpts(opacity=0.3)).set_series_opts(
label_opts=opts.LabelOpts(is_show=False)))
return c
def draw_radar(season_x, season_name, filechart, seasonareacolor, seasonlinecolor):
# 建立schema的json文件 season_x.columns = [season_name]
season_index = season_x.index.to_list()
# print(season_index)
# n_max, n_min = max(season_x), min(season_x)
n_max = max(enumerate(season_x[0]), key=operator.itemgetter(1))[1]
n_min = min(enumerate(season_x[0]), key=operator.itemgetter(1))[1]
# 用于获取对象的哪些维的数据
# print(n_max, n_min)
df_season = pd.DataFrame({'name': season_index})
df_season['max'], df_season['min'] = n_max, n_min
# season_js = df_season.to_json(orient='records')
# print(season_js)
# 设置16方位, 逆时针排序
season_js = [
{"name": "N", "max": n_max, "min": n_min},
{"name": "NNW", "max": n_max, "min": n_min},
{"name": "NW", "max": n_max, "min": n_min},
{"name": "WNW", "max": n_max, "min": n_min},
{"name": "W", "max": n_max, "min": n_min},
{"name": "WSW", "max": n_max, "min": n_min},
{"name": "SW", "max": n_max, "min": n_min},
{"name": "SSW", "max": n_max, "min": n_min},
{"name": "S", "max": n_max, "min": n_min},
{"name": "SSE", "max": n_max, "min": n_min},
{"name": "SE", "max": n_max, "min": n_min},
{"name": "ESE", "max": n_max, "min": n_min},
{"name": "E", "max": n_max, "min": n_min},
{"name": "ENE", "max": n_max, "min": n_min},
{"name": "NE", "max": n_max, "min": n_min},
{"name": "NNE", "max": n_max, "min": n_min},
]
# 设置数据
fengsus = season_x[0].to_list()
data_fengsu = [{'value': fengsus, 'name': '风频数'}]
# print(data_fengsu)
charts = Radar()
charts.set_colors(['#4587E7']) # 设置颜色
charts.add_schema(schema=season_js,
shape='circle',
center=['50%', '50%'],
radius='80%',
angleaxis_opts=opts.AngleAxisOpts(
min_=0, # 坐标轴刻度最小值
max_=360, # 坐标轴刻度最大值
is_clockwise=True,
interval=22.5, # 强制设置坐标轴分割间隔
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False,), # 坐标轴线标签配置项
axisline_opts=opts.AxisLineOpts(is_show=True), # 坐标轴线风格配置项
splitline_opts=opts.SplitLineOpts(is_show=True) # 分割线配置项
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=n_min, # 坐标轴刻度最小值
max_=n_max, # 坐标轴刻度最大值
interval=2, # 强制设置坐标轴分割间隔
splitarea_opts=opts.SplitAreaOpts(
is_show=True,
areastyle_opts=opts.AreaStyleOpts(opacity=0.2,
)
),
splitline_opts=opts.SplitLineOpts(is_show=True,
linestyle_opts=opts.LineStyleOpts(is_show=True,
width=0.5,
color='grey')),
axislabel_opts=opts.LabelOpts(is_show=True,
font_size=12,
color='grey'), # 坐标轴线标签配置项
),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=True),
splitline_opt=opts.SplitLineOpts(is_show=False), # 分割线配置项
textstyle_opts=opts.TextStyleOpts(color='black',
font_size=14)
)
charts.add(series_name='%s玫瑰图' % season_name, # 系列名称
data=data_fengsu, # 系列数据
areastyle_opts=opts.AreaStyleOpts(opacity=0.5, # 系列面样式设置
color=seasonareacolor),
linestyle_opts=opts.LineStyleOpts(width=2, # 系列线样式设置
color=seasonlinecolor),
label_opts=opts.LabelOpts(is_show=False),
) # 系列标签设置
charts.render(filechart)