数据可视化 - 柱状图 - 可视化映射数据集
from pyecharts import options as optsfrom pyecharts.charts import Barc = (Bar().add_dataset(source=[["score", "amount", "product"],[89.3, 58212, "Matcha Latte"],[57.1, 78254, "Milk Tea"],...
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from pyecharts import options as opts
from pyecharts.charts import Bar
c = (
Bar()
.add_dataset(
source=[
["score", "amount", "product"],
[89.3, 58212, "Matcha Latte"],
[57.1, 78254, "Milk Tea"],
[74.4, 41032, "Cheese Cocoa"],
[50.1, 12755, "Cheese Brownie"],
[89.7, 20145, "Matcha Cocoa"],
[68.1, 79146, "Tea"],
[19.6, 91852, "Orange Juice"],
[10.6, 101852, "Lemon Juice"],
[32.7, 20112, "Walnut Brownie"],
]
)
.add_yaxis(
series_name="",
yaxis_data=[],
encode={"x": "amount", "y": "product"},
label_opts=opts.LabelOpts(is_show=False),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="Dataset normal bar example"),
xaxis_opts=opts.AxisOpts(name="amount"),
yaxis_opts=opts.AxisOpts(type_="category"),
visualmap_opts=opts.VisualMapOpts(
orient="horizontal",
pos_left="center",
min_=10,
max_=100,
range_text=["High Score", "Low Score"],
dimension=0,
range_color=["#D7DA8B", "#E15457"],
),
)
.render("dataset_bar_1.html")
)
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