with open("cov_cnt.json", "r") as f:
cc_data = json.load(f)
theme_river = ThemeRiver(
init_opts=opts.InitOpts(width="1200px", height="600px"))
theme_river.add(
series_name=tr_series[topic],
data=tr_data[topic],
label_opts=opts.LabelOpts(is_show=False),
singleaxis_opts=opts.SingleAxisOpts(pos_top="50",
pos_bottom="50",
type_="time"),
)
theme_river.set_global_opts(tooltip_opts=opts.TooltipOpts(
trigger="axis", axis_pointer_type="line"),
legend_opts=opts.LegendOpts(pos_top="5%",
is_show=True))
wc_tl = Timeline(init_opts=opts.InitOpts(width="1200px", height="600px"))
idx = 0
for date, tmp_data in wc_data:
wc = WordCloud()
wc.add(series_name="", data_pair=tmp_data)
wc.set_global_opts(
title_opts=opts.TitleOpts(title="词频统计",
pos_top="top",
pos_left="center"),
tooltip_opts=opts.TooltipOpts(is_show=True),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(right="0%", top="0%"),
df_river['year'] = df_river['year'].apply(str)
df_river['count'] = df_year[df_year[g] == 1].groupby(by=['year'])[g].sum()
df_river['genre'] = np.full(len(df_river), g)
df_river['count'] = df_river['count'].fillna(0)
data_river.extend(df_river.values.tolist())
river = ThemeRiver(init_opts=opts.InitOpts(
width="2000px", height="600px", theme=ThemeType.LIGHT))
river.add(
series_name=genres,
data=data_river,
label_opts=opts.LabelOpts(font_size=10),
singleaxis_opts=opts.SingleAxisOpts(
pos_top="50",
pos_bottom="50",
type_="time",
),
)
river.set_global_opts(
tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="line"),
title_opts=opts.TitleOpts(title="1901-2020 曲風流變",
subtitle="1901-2020",
pos_bottom="85%",
pos_right="80%"),
)
river.set_series_opts(label_opts=opts.LabelOpts(is_show=0))
# themeriver().load_javascript()
river.render_notebook()
