Python数据分析项目讲解：分析世界五百强企业数据

ゝ一世哀愁。 2022-09-04 11:52 270阅读 0赞

# 前言 #

哪个国家的世界五百强企业数量最多？今天带你用python来处理数据，并实现数据可视化，解决对现有数据产生的疑问。

本次代码是在 **Jupyter Notebook** 里面编写的

# 先导入本次代码需要的模块 #

import pandas as pd
    from pyecharts.charts import *
    from pyecharts import options as opts
    from pyecharts.commons.utils import JsCode
    from pyecharts.globals import ThemeType

# [Python从零基础入门到实战系统教程、源码、视频，想要数据集的同学也可以点这里][Python] #

# 导入数据 #

data = pd.read_excel('2021年世界五百强排行榜.xlsx')
    data.head(5)

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzQ4NDA1Nzgx_size_16_color_FFFFFF_t_70][]

# 统计世界500强企业各个国家之间的占比 #

pie = Pie(init_opts=opts.InitOpts(theme='light',
                                      width='800px',
                                      height='700px'))
    
    data_x = data1['国家'].tolist()
    data_y = data1['排名'].tolist()
                                      
    pie.add("",
            [list(z) for z in zip(data_x, data_y)],
            radius=["35%", "55%"]
            )
    pie.set_series_opts(label_opts=opts.LabelOpts(position="insideLeft",
                                                  font_size=12,
                                                  color='rgba(0,0,0,0.5)',
                                                  font_weight='bold',
                                                  formatter='{b}:{d}%'),
                        itemstyle_opts={ 'normal': { 
                                                    'opacity': 1,  # 透明度
                                                    'shadowColor': 'rgba(0, 0, 0, 0.2)',  # 阴影颜色
                                                    'shadowBlur': 5,  # 阴影大小
                                                    'shadowOffsetY': 5,  # Y轴方向阴影偏移
                                                    'shadowOffsetX': 5,  # x轴方向阴影偏移
                                            }
                                        }
                       )
    
    pie.set_global_opts(legend_opts=opts.LegendOpts(is_show=True, pos_left='right', pos_top='center', orient='vertical'),
                        title_opts=opts.TitleOpts(title="2021年世界各国500强企业占比", pos_top='center', pos_left='center', 
                                                  title_textstyle_opts=opts.TextStyleOpts(font_size=16)),
                                                  visualmap_opts=opts.VisualMapOpts( 
                                                                                    min_=0,
                                                                                    max_=200,
                                                                                    ))    
                                                                                                                             
    pie.render_notebook()

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzQ4NDA1Nzgx_size_16_color_FFFFFF_t_70 1][]

# 将国家列设置为索引 #

bar = Bar(init_opts=opts.InitOpts(theme=ThemeType.PURPLE_PASSION))
    bar.add_yaxis("世界500强企业数量", data1['排名'].tolist())
    bar.set_global_opts(title_opts=opts.TitleOpts(title="每日电量统计表"),toolbox_opts=opts.ToolboxOpts(),xaxis_opts=opts.AxisOpts(name_rotate=60,axislabel_opts={ "rotate":45}))
    bar.render_notebook()
    # 绘制直方图来显示
    # 线性渐变
    color_js = """new echarts.graphic.LinearGradient(0, 1, 0, 0, [{offset: 0, color: '#008B8B'}, {offset: 1, color: '#FF6347'}], false)"""
    
    bar = Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK))
    bar.add_xaxis(data1.index.tolist())
    bar.add_yaxis("世界500强企业数量", data1['排名'].tolist(),itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_js)))
    bar.set_global_opts(title_opts=opts.TitleOpts(title="2021年各国世界500强企业统计",subtitle='',pos_left='center',pos_top='3%'), 
                        toolbox_opts=opts.ToolboxOpts(),
                        xaxis_opts=opts.AxisOpts(name_rotate=60,axislabel_opts={ "rotate":45}),
                       legend_opts=opts.LegendOpts(is_show=True,
                                                     pos_left='80%',
                                                     pos_bottom='90%'))
    bar.render_notebook()

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzQ4NDA1Nzgx_size_16_color_FFFFFF_t_70 2][]

# 筛选出中国的世界500强企业并进行数据可视化分析 #

# m_df = df.groupby(['行业'])['存活天数'].mean().reset_index()
    data2.sort_values(by='排名',ascending=False, inplace=True)
    data_x = data2['字段2'].tolist()
    data_y = data2['排名'].tolist()
    
    bar = Bar(init_opts=opts.InitOpts(theme='light',
                                      width='1000px',
                                      height='900px'))
    bar.add_xaxis(data_x)
    bar.add_yaxis('平均存活天数', [int(i) for i in data_y])
    bar.set_series_opts(label_opts=opts.LabelOpts(position="insideLeft",
                                                  font_size=12,
                                                  font_weight='bold',
                                                  formatter='{b}:{c}'))
    bar.set_global_opts(title_opts=opts.TitleOpts(title="2021年中国世界500强企业城市分布", pos_top='2%', pos_left='center', 
                                                  title_textstyle_opts=opts.TextStyleOpts(font_size=16)),
                        legend_opts=opts.LegendOpts(is_show=False),
                        xaxis_opts=opts.AxisOpts(is_show=False, is_scale=True),
                        yaxis_opts=opts.AxisOpts(is_show=False),
                        visualmap_opts=opts.VisualMapOpts( 
                                              max_=3000,
                                              min_=1500,
                                              is_piecewise=False,
                                              dimension=0,
                                              range_color=['rgba(238,25,38,1)', 'rgba(289,112,147,0.4)'])
                                          )
    bar.reversal_axis()
    bar.render_notebook()

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzQ4NDA1Nzgx_size_16_color_FFFFFF_t_70 3][]

[Python]: https://jq.qq.com/?_wv=1027&k=oaobfXne
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzQ4NDA1Nzgx_size_16_color_FFFFFF_t_70]: /images/20220829/28002710e753492389058be4982b8149.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzQ4NDA1Nzgx_size_16_color_FFFFFF_t_70 1]: /images/20220829/53837e47237948cc91f456a1a6473780.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzQ4NDA1Nzgx_size_16_color_FFFFFF_t_70 2]: /images/20220829/1f7e91a0ae4249be99f2d7a0a5d34a8a.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzQ4NDA1Nzgx_size_16_color_FFFFFF_t_70 3]: /images/20220829/a9cc7c5287674602a33c56d5e957d80d.png