(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
wt_cs16 分钟前
银行回单ocr api集成解析-图像文字识别-文字识别技术
开发语言·python
_WndProc38 分钟前
【Python】Flask网页
开发语言·python·flask
互联网搬砖老肖40 分钟前
Python 中如何使用 Conda 管理版本和创建 Django 项目
python·django·conda
测试者家园1 小时前
基于DeepSeek和crewAI构建测试用例脚本生成器
人工智能·python·测试用例·智能体·智能化测试·crewai
大模型真好玩1 小时前
准确率飙升!Graph RAG如何利用知识图谱提升RAG答案质量(四)——微软GraphRAG代码实战
人工智能·python·mcp
前端付豪1 小时前
11、打造自己的 CLI 工具:从命令行到桌面效率神器
后端·python
前端付豪1 小时前
12、用类写出更可控、更易扩展的爬虫框架🕷
后端·python
江太翁1 小时前
Pytorch torch
人工智能·pytorch·python
网安INF2 小时前
深度学习中的逻辑回归:从原理到Python实现
人工智能·python·深度学习·算法·逻辑回归
青苔猿猿2 小时前
(5)aconda之.condarc文件配置
python·镜像源·.condarc文件