(3)原神角色数据分析-3

绘图类

在名为"WRITEPHOT.py"的文件中,定义如下绘图方式,则在主页面(app.py)文件中,可通过如下方式调用:

python 复制代码
from WRITEPHOTO import WriteScatter,WriteFunnel,WriteBarData,WritePie,WriteLineBar

代码如下:

python 复制代码
"""绘图"""
from pyecharts.charts import Scatter
from pyecharts import options as opts
from pyecharts.charts import Funnel
from pyecharts.faker import Faker
from pyecharts.charts import Bar
from pyecharts.charts import Pie
from pyecharts import options as opts
from pyecharts.charts import Bar, Timeline
from pyecharts.faker import Faker
import numpy as np
import pandas as pd


# 散点图
class WriteScatter:
    Name = None
    Hp = None
    Def = None
    Atk = None

    def __init__(self, Name, Hp, Def, Atk):
        self.Name = Name
        self.Hp = Hp
        self.Def = Def
        self.Atk = Atk

    def write_scatter(self):
        from pyecharts.faker import Faker

        c = (
            Scatter()
            .add_xaxis(list(self.Name))
            .add_yaxis("生命值", list(self.Hp))
            .add_yaxis("防御力", list(self.Def))
            .add_yaxis("攻击力", list(self.Atk))
            .set_global_opts(
                title_opts=opts.TitleOpts(title="Scatter-VisualMap(Size)"),
                visualmap_opts=opts.VisualMapOpts(type_="size", max_=150, min_=20),
                xaxis_opts=opts.AxisOpts(axislabel_opts={"rotate": 45})
            )
            .render("./templates/筛选结果-自动生成.html")
        )


# 漏斗图
class WriteFunnel:
    # 角色名称
    role_name = None
    # 分类依据
    type_things = None

    def __init__(self, role_name, type_things):
        self.role_name = role_name
        self.type_things = type_things

    # zip()函数
    # >>> a = ['a', 'b', 'c', 'd']
    # >>> b = ['1', '2', '3', '4']
    # >>> list(zip(a, b))
    # [('a', '1'), ('b', '2'), ('c', '3'), ('d', '4')]
    def write_funnel(self):
        c = (
            Funnel()
            .add(
                self.type_things,
                [list(z) for z in zip(self.role_name, self.type_things)],
                sort_="ascending",
                label_opts=opts.LabelOpts(position="inside"),
            )
            .set_global_opts(title_opts=opts.TitleOpts(title="Funnel-Sort(ascending)"))
            .render("./templates/排序结果-自动生成.html")
        )


# 数据集
class WriteBarData:
    def __init__(self, df):
        self.df = df

    def write_bar_data(self):
        list_source = [["produce", "生命值", "防御力", "攻击力"]]
        for x in range(0, len(self.df["角色"])):
            list_source.append([self.df.iloc[x]["角色"],
                                int(self.df.iloc[x]["生命值"]),
                                int(self.df.iloc[x]["防御力"]),
                                int(self.df.iloc[x]["攻击力"])])
        print(list_source)
        c = (
            Bar()
            .add_dataset(
                source=list_source
            )
            .add_yaxis(series_name="生命值", y_axis=[])
            .add_yaxis(series_name="防御力", y_axis=[])
            .add_yaxis(series_name="攻击力", y_axis=[])
            .set_global_opts(
                title_opts=opts.TitleOpts(title="标题"),
                xaxis_opts=opts.AxisOpts(type_="category"),
            )
            .render("./templates/数据集-自动生成.html")
        )


# 饼图
class WritePie:
    def __init__(self, three_things, role_type, role_add):
        self.role_things = three_things
        self.role_type = role_type
        self.role_add = role_add

    def write_pie(self):
        print()
        print(self.role_things)
        c = (
            Pie()
            .add(
                "",
                # 这块可以是Series和Series,但不能是Series和list,因为两者无法匹配
                [list(z) for z in zip(["生命值", "防御力", "攻击力"],
                                      [int(self.role_things[0]), int(self.role_things[1]), int(self.role_things[2])])],
                radius=["40%", "75%"],
            )
            .set_global_opts(
                title_opts=opts.TitleOpts(title=f"{self.role_type}属性角色/{self.role_add}"),
                legend_opts=opts.LegendOpts(orient="vertical", pos_top="15%", pos_left="2%"),
            )
            .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
            .render("./templates/单个角色数据-自动生成.html")
        )


# 时间柱状图
class WriteLineBar:
    def __init__(self):
        self.role_name = ["火", "水", "冰", "风", "雷", "岩"]

    def write_lin_bar(self):
        tl = Timeline()
        for i in self.role_name:
            role_things = pd.read_excel("C:/Users/YHT/Desktop/项目/原神各属性角色信息.xlsx", header=0, index_col=0)
            role_things = role_things.fillna(axis=0, method="ffill")
            things_list = role_things.groupby("属性").groups
            print(role_things.loc[things_list[i]]["角色"])
            bar = (
                Bar()
                .add_xaxis(list(role_things.loc[things_list[i]]["角色"]))
                .add_yaxis("生命值", list(role_things.loc[things_list[i]]["生命值"]))
                .add_yaxis("防御力", list(role_things.loc[things_list[i]]["防御力"]))
                .add_yaxis("攻击力", list(role_things.loc[things_list[i]]["攻击力"]))
                .set_global_opts(title_opts=opts.TitleOpts())
            )
            tl.add(bar, f"{i}属性")
            tl.render("./templates/时间柱状图所有角色-自动生成.html")
相关推荐
chenment1 小时前
ComfyUI 自定义节点开发:从零扩展你的图像生成工作流
python·stable diffusion
互联网中的一颗神经元2 小时前
小白python入门 - 25. SQL 与表设计入门
数据库·python·sql
RSTJ_16253 小时前
PYTHON+AI LLM DAY ONE HUNDRED AND EIGHTEEN
python
开源量化GO3 小时前
近期量化学习路径,交易理解和技术实现要接上
人工智能·python
kingcjh974 小时前
具身智能数据处理的工程化实践
人工智能·数据挖掘
c_lb72884 小时前
近期手工规则量化,学习表达到开发验证要连起来
人工智能·python
tkevinjd4 小时前
MiniCode 项目详解7:Memory 记忆系统
大数据·python·搜索引擎·llm·agent
郭老二4 小时前
【Python】Web框架 FastAPI 详解
python·fastapi
DFT计算杂谈4 小时前
交错磁研究进展材料物性与交叉应用
数据库·人工智能·python·opencv·算法
敖行客 Allthinker4 小时前
docker容器安装Python反推镜像步骤(适用于临时调试用)
python·docker·容器