# Interactive_Visual **Repository Path**: NFUNM086/Interactive_Visual ## Basic Information - **Project Name**: Interactive_Visual - **Description**: 《交互式可视化》 - **Primary Language**: HTML/CSS - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2019-09-27 - **Last Updated**: 2024-10-26 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README 欧美碳排对比+171013086+徐嘉慧
In [4]:
import pandas as pd
df = pd.read_csv("oecd_carbon_emissions_data.csv", index_col="Country")
In [5]:
df
Out[5]:
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 ... 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Country
United States 6371000.54 6315615.19 6424934.36 6532069.60 6624835.79 6710067.3 6907699.05 6968461.97 7032526.01 7071461.46 ... 7160600.81 6709369.15 6938591.68 6787419.03 6545969.33 6710218.18 6759995.63 6623775.48 6492267.43 6456718.19
European Union (28 countries) 5649529.34 5555045.95 5379830.54 5281540.39 5255297.27 5308544.0 5418671.89 5326316.82 5281519.48 5172643.92 ... 5046999.43 4681900.46 4783627.79 4626382.21 4563064.71 4468920.46 4297635.77 4327313.20 4303391.87 4323163.15

2 rows × 28 columns

In [6]:
x轴 = [int(x)for x in df.columns.values[-6:]] #列表推导
x轴
Out[6]:
[2012, 2013, 2014, 2015, 2016, 2017]
In [7]:
美国 = list(df.loc["United States"].values)[-6:]
美国
Out[7]:
[6545969.33, 6710218.18, 6759995.63, 6623775.48, 6492267.43, 6456718.19]
In [9]:
欧洲 = list(df.loc["European Union (28 countries)"].values)[-6:]
欧洲
Out[9]:
[4563064.71, 4468920.46, 4297635.77, 4327313.2, 4303391.87, 4323163.15]
In [12]:
from pyecharts import options as opts
from pyecharts.charts import Bar


def bar_base() -> Bar:
    c = (
        Bar()
        .add_xaxis(x轴)
        .add_yaxis("美国", 美国)
        .add_yaxis("欧洲", 欧洲)
        .set_global_opts(title_opts=opts.TitleOpts(title="CO2排放量", subtitle="欧美对比"))
    )
    return c
In [13]:
对比图 = bar_base()
对比图.render_notebook()
Out[13]: