309专供 之 词云 、河流图
提示：仅供我的舍友学习使用。
第1关：WordCloud
代码如下（示例）：
from PreTest import *
from pyecharts import options as opts
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot
from pyecharts.charts import WordCloud
from pyecharts.globals import SymbolType
data = [
("Sam S Club", 10000),
("Macys", 6181),
("Amy Schumer", 4386),
("Jurassic World", 4055),
("Charter Communications", 2467),
("Chick Fil A", 2244),
("Planet Fitness", 1868),
("Pitch Perfect", 1484),
("Express", 1112),
("Home", 865),
("Johnny Depp", 847),
("Lena Dunham", 582),
("Lewis Hamilton", 555),
("KXAN", 550),
("Mary Ellen Mark", 462),
("Farrah Abraham", 366),
("Rita Ora", 360),
("Serena Williams", 282),
("NCAA baseball tournament", 273),
("Point Break", 265),
]
def wordcloud_chart() -> WordCloud:
# ********* Begin *********#
wordcloud = (
WordCloud()
.add(
"",
data,
word_size_range=[20,100],
shape=SymbolType.DIAMOND,
textstyle_opts=opts.TextStyleOpts(font_family="cursive")
)
.set_global_opts(
title_opts=opts.TitleOpts(
title="WordCloud-示例", title_textstyle_opts=opts.TextStyleOpts(font_size=23)
),
tooltip_opts=opts.TooltipOpts(is_show =True),
)
)
# ********** End **********#
return wordcloud
make_snapshot(snapshot, wordcloud_chart().render("Result/render.html"), 'StudentAnswer/student_answer.png') # 输出图片
make_snapshot(snapshot, wordcloud_base(data).render(), "StandardAnswer/task1/standard_answer_1.png")
第2关：ThemeRiver
代码如下（示例）：
from PreTest import *
from pyecharts import options as opts
from pyecharts.render import make_snapshot
from snapshot_phantomjs import snapshot
from pyecharts.charts import ThemeRiver
x_data = ["DQ", "TY", "SS", "QG", "SY", "DD"]
y_data = [
["2015/11/08", 10, "DQ"],
["2015/11/09", 15, "DQ"],
["2015/11/10", 35, "DQ"],
["2015/11/11", 38, "DQ"],
["2015/11/12", 22, "DQ"],
["2015/11/13", 16, "DQ"],
["2015/11/14", 7, "DQ"],
["2015/11/15", 2, "DQ"],
["2015/11/16", 17, "DQ"],
["2015/11/17", 33, "DQ"],
["2015/11/18", 40, "DQ"],
["2015/11/19", 32, "DQ"],
["2015/11/20", 26, "DQ"],
["2015/11/21", 35, "DQ"],
["2015/11/22", 40, "DQ"],
["2015/11/23", 32, "DQ"],
["2015/11/24", 26, "DQ"],
["2015/11/25", 22, "DQ"],
["2015/11/26", 16, "DQ"],
["2015/11/27", 22, "DQ"],
["2015/11/28", 10, "DQ"],
["2015/11/08", 35, "TY"],
["2015/11/09", 36, "TY"],
["2015/11/10", 37, "TY"],
["2015/11/11", 22, "TY"],
["2015/11/12", 24, "TY"],
["2015/11/13", 26, "TY"],
["2015/11/14", 34, "TY"],
["2015/11/15", 21, "TY"],
["2015/11/16", 18, "TY"],
["2015/11/17", 45, "TY"],
["2015/11/18", 32, "TY"],
["2015/11/19", 35, "TY"],
["2015/11/20", 30, "TY"],
["2015/11/21", 28, "TY"],
["2015/11/22", 27, "TY"],
["2015/11/23", 26, "TY"],
["2015/11/24", 15, "TY"],
["2015/11/25", 30, "TY"],
["2015/11/26", 35, "TY"],
["2015/11/27", 42, "TY"],
["2015/11/28", 42, "TY"],
["2015/11/08", 21, "SS"],
["2015/11/09", 25, "SS"],
["2015/11/10", 27, "SS"],
["2015/11/11", 23, "SS"],
["2015/11/12", 24, "SS"],
["2015/11/13", 21, "SS"],
["2015/11/14", 35, "SS"],
["2015/11/15", 39, "SS"],
["2015/11/16", 40, "SS"],
["2015/11/17", 36, "SS"],
["2015/11/18", 33, "SS"],
["2015/11/19", 43, "SS"],
["2015/11/20", 40, "SS"],
["2015/11/21", 34, "SS"],
["2015/11/22", 28, "SS"],
["2015/11/23", 26, "SS"],
["2015/11/24", 37, "SS"],
["2015/11/25", 41, "SS"],
["2015/11/26", 46, "SS"],
["2015/11/27", 47, "SS"],
["2015/11/28", 41, "SS"],
["2015/11/08", 10, "QG"],
["2015/11/09", 15, "QG"],
["2015/11/10", 35, "QG"],
["2015/11/11", 38, "QG"],
["2015/11/12", 22, "QG"],
["2015/11/13", 16, "QG"],
["2015/11/14", 7, "QG"],
["2015/11/15", 2, "QG"],
["2015/11/16", 17, "QG"],
["2015/11/17", 33, "QG"],
["2015/11/18", 40, "QG"],
["2015/11/19", 32, "QG"],
["2015/11/20", 26, "QG"],
["2015/11/21", 35, "QG"],
["2015/11/22", 40, "QG"],
["2015/11/23", 32, "QG"],
["2015/11/24", 26, "QG"],
["2015/11/25", 22, "QG"],
["2015/11/26", 16, "QG"],
["2015/11/27", 22, "QG"],
["2015/11/28", 10, "QG"],
["2015/11/08", 10, "SY"],
["2015/11/09", 15, "SY"],
["2015/11/10", 35, "SY"],
["2015/11/11", 38, "SY"],
["2015/11/12", 22, "SY"],
["2015/11/13", 16, "SY"],
["2015/11/14", 7, "SY"],
["2015/11/15", 2, "SY"],
["2015/11/16", 17, "SY"],
["2015/11/17", 33, "SY"],
["2015/11/18", 40, "SY"],
["2015/11/19", 32, "SY"],
["2015/11/20", 26, "SY"],
["2015/11/21", 35, "SY"],
["2015/11/22", 4, "SY"],
["2015/11/23", 32, "SY"],
["2015/11/24", 26, "SY"],
["2015/11/25", 22, "SY"],
["2015/11/26", 16, "SY"],
["2015/11/27", 22, "SY"],
["2015/11/28", 10, "SY"],
["2015/11/08", 10, "DD"],
["2015/11/09", 15, "DD"],
["2015/11/10", 35, "DD"],
["2015/11/11", 38, "DD"],
["2015/11/12", 22, "DD"],
["2015/11/13", 16, "DD"],
["2015/11/14", 7, "DD"],
["2015/11/15", 2, "DD"],
["2015/11/16", 17, "DD"],
["2015/11/17", 33, "DD"],
["2015/11/18", 4, "DD"],
["2015/11/19", 32, "DD"],
["2015/11/20", 26, "DD"],
["2015/11/21", 35, "DD"],
["2015/11/22", 40, "DD"],
["2015/11/23", 32, "DD"],
["2015/11/24", 26, "DD"],
["2015/11/25", 22, "DD"],
["2015/11/26", 16, "DD"],
["2015/11/27", 22, "DD"],
["2015/11/28", 10, "DD"],
]
def themeriver_chart() -> ThemeRiver:
# ********* Begin *********#
themeriver = (
ThemeRiver(init_opts=opts.InitOpts(width="1600px",height="800px"))
.add(
series_name=x_data,
data=y_data,
singleaxis_opts=opts.SingleAxisOpts(
pos_top="50",pos_bottom="50",type_="time"
),
)
.set_global_opts(
tooltip_opts=opts.TooltipOpts(trigger="axis",axis_pointer_type="line")
)
)
# ********** End **********#
return themeriver
make_snapshot(snapshot, themeriver_chart().render("Result/render.html"), 'StudentAnswer/student_answer.png') # 输出图片
make_snapshot(snapshot, themeriver_base(x_data, y_data).render(), "StandardAnswer/task1/standard_answer_1.png")