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一、概述

河流圖（stream chart），是堆疊面積圖的一個(gè)變種，，是堆積面積圖的一種變形，通過(guò)“流動(dòng)”的形狀來(lái)展示不同類別的數(shù)據(jù)隨時(shí)間的變化情況。但不同于堆積面積圖，河流圖并不是將數(shù)據(jù)描繪在一個(gè)固定的、筆直的軸上（堆積圖的基準(zhǔn)線就是x軸），而是將數(shù)據(jù)分散到一個(gè)變化的中心基準(zhǔn)線上（該基準(zhǔn)線不一定是筆直的）。

二、案例

在瀏覽金融時(shí)報(bào)的信息圖表時(shí)，注意到一個(gè)疫情圖很吸引眼球，就是下面這張圖：

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各國(guó)新冠疫情發(fā)展?fàn)顩r

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冬季奧林匹克運(yùn)動(dòng)會(huì)獎(jiǎng)牌獲得者國(guó)家分布

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以下圖為例，作品《音曲繁美》就采用了這種河流圖，它每一條的寬窄代表了音樂(lè)在特定年代流行的程度，用不同的顏色去區(qū)分不同的音樂(lè)，圖表最后形成水流狀的樣子。

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2008年2月，《紐約時(shí)報(bào)》發(fā)布了一個(gè)最典型、最著名的河流圖的例子《電影的衰退和流動(dòng)：過(guò)去20年的電影票房收入》，描述了從1986年1月到2008年2月期間，所有電影的上映時(shí)間以及期間的周票房變化。在這個(gè)河流圖中，流形狀的寬度代表了某部電影的周票房，流形狀的起始是由電影的上映時(shí)間決定的。顏色由電影的總票房決定，票房就是電影的“附加定量”，顏色越深代表了電影最終票房越高。

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三、pyecharts繪圖

import pyecharts.options as optsfrom 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"],]



(    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")    )    .render("theme_river.html")

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畫(huà)圖神器pyecharts-河流圖

一、概述

二、案例

三、pyecharts繪圖

三、pyecharts繪圖