python0998 发表于 2021-8-26 15:16:40

关于pyecharts可视化谁能帮忙提供下思路,有偿一盒华子

本帖最后由 python0998 于 2021-8-26 17:58 编辑


像这种数据怎么才能分组可视化展现,比如电锅炉显示一条折线,空调显示一条折线,有功显示一条折线data:image/png;base64,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

阿奇_o 发表于 2021-8-26 17:37:12

?? 数据在哪?

python0998 发表于 2021-8-26 17:59:50

阿奇_o 发表于 2021-8-26 17:37
?? 数据在哪?

发不出去啊,一审核就没了,能帮忙研究一下加微信吧bh_135

python0998 发表于 2021-8-27 08:56:33


   timedataValueuseType
2018/1/112000有功
2018/1/11516电锅炉
2018/1/11516空调
2018/1/210240有功
2018/1/21931电锅炉
2018/1/21931空调
2018/1/314080有功
2018/1/32024电锅炉
2018/1/32024空调
2018/1/413360有功
2018/1/41903电锅炉
2018/1/41903空调
2018/1/511920有功
2018/1/51889电锅炉
2018/1/51889空调
2018/1/611760有功
2018/1/61940电锅炉
2018/1/61940空调
2018/1/711600有功
2018/1/71860电锅炉
2018/1/71860空调
2018/1/812480有功
2018/1/81614电锅炉
2018/1/81614空调
2018/1/913200有功
2018/1/91951电锅炉
2018/1/91951空调
2018/1/1012160有功
2018/1/103259电锅炉
2018/1/103259空调
2018/1/1118240有功
2018/1/113035电锅炉
2018/1/113035空调
2018/1/1214880有功
2018/1/122994电锅炉
2018/1/122994空调
2018/1/1312880有功
2018/1/132450电锅炉
2018/1/132450空调
数据

python0998 发表于 2021-8-27 08:57:42

阿奇_o 发表于 2021-8-26 17:37
?? 数据在哪?

发楼下了

阿奇_o 发表于 2021-8-27 10:01:29

# 1.获取数据
df = pd.read_excel('data_空调锅炉.xlsx')
# 2.观察数据
df
# 3.清洗数据/整理数据
# df = df.set_index('time')
# df.groupby(by=['time', 'useType']).sum().reset_index()

# 4.可视化数据
import pyecharts.options as opts
from pyecharts.charts import Line
from pyecharts.faker import Faker

dt = list(set(df['time'].dt.date.to_list()))
y1 = df.dataValue.to_list()
y2 = df.dataValue.to_list()
print(dt)
print(y1, y2, sep='\n')

c = (
    Line()
    .add_xaxis(dt)
    .add_yaxis("空调", y1)
    .add_yaxis("有功", y2)
    .set_global_opts(title_opts=opts.TitleOpts(title="产品每日销售情况"))
    # .render("各个产品每日销售情况.html")
)

c.render_notebook()

z5560636 发表于 2021-8-27 10:48:57

阿奇_o 发表于 2021-8-27 10:01


{:10_256:}   发现BUG一枚pandas 库没导入

阿奇_o 发表于 2021-8-27 15:27:03

z5560636 发表于 2021-8-27 10:48
发现BUG一枚pandas 库没导入

对,可能Python,Jupyter Notebook都没装,甚至电脑都木有。。{:10_304:}
页: [1]
查看完整版本: 关于pyecharts可视化谁能帮忙提供下思路,有偿一盒华子