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不多说，直接上代码！ 我是在jupyter lab上运动的代码，需要提前输入一下代码才能显示：
# notebook显示图
from pyecharts.globals import CurrentConfig, NotebookType
CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_LAB
CurrentConfig.ONLINE_HOST
数据集链接：https://pan.baidu.com/s/1zSg88vimDHuUKh7BKeHchA?pwd=1111 提取码：1111
机场航班分布图（3D）
import pandas as pd
from pyecharts.charts import Map3D
from pyecharts.globals import ChartType
from pyecharts import options as opts
df0 = pd.read_excel('data/航班数据.xls')
sizes = df0["departure_city"].value_counts()
df1 = pd.DataFrame({'flights_amount': sizes})
df2 = df0[['departure_city', 'departure_cy', 'departure_cx']].drop_duplicates()
df2.index = df2['departure_city']
df2['flights_amount'] = df1
city_lines = list(zip(df2['departure_city'], list(zip(df2['departure_cx'], df2['departure_cy'], df2['flights_amount']))))
c = (
Map3D()
.add_schema(
itemstyle_opts=opts.ItemStyleOpts(
color="rgb(5,101,123)",
opacity=1,
border_width=0.8,
border_color="rgb(62,215,213)",
),
map3d_label=opts.Map3DLabelOpts(is_show=False),
emphasis_label_opts=opts.LabelOpts(
is_show=False,
color="#fff",
font_size=10,
background_color="rgba(0,23,11,0)",
),
light_opts=opts.Map3DLightOpts(
main_color="#fff",
main_intensity=1.2,
main_shadow_quality="high",
is_main_shadow=False,
main_beta=10,
ambient_intensity=0.3,
),
)
.add(
series_name="机场所在城市分布图",
data_pair=city_lines,
type_=ChartType.BAR3D,
bar_size=1,
shading="lambert",
label_opts=opts.LabelOpts(is_show=False),
)
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(
is_piecewise=True,
pieces=[
{"min": 800, "label": '>800', "color": 'blue'},
{"min": 500, "max": 799, "label": '500-799', "color": 'red'},
{"min": 200, "max": 499, "label": '200-499', "color": 'peru'},
{"min": 100, "max": 199, "label": '100-199', "color": 'orange'},
{"min": 10, "max": 99, "label": '10-99', "color": 'gold'},
{"min": 0, "max": 9, "label": '0-9', "color": 'cornsilk'}
]
)
)
)
c.load_javascript()
c.render_notebook()
航班桑基图
import pandas as pd
from pyecharts.charts import Sankey
from pyecharts import options as opts
from matplotlib.font_manager import FontProperties
# 数据处理
df0 = pd.read_excel('data/航班数据.xls')#读取数据
df1 = df0[df0.departure_airport.isin(df.departure_airport.values)]
df2 = df1.groupby(by=['departure_airport','landing_airport']).size().reset_index() # 汇总各航班的目的地数
df2.rename(columns={'departure_airport':'source','landing_airport':'target',0:'value'}, inplace=True)
df3 = df2.query('value>=5').copy() # 选择目的地数目超过5的航班
df4 = df3
df4.drop_duplicates(subset='target', keep='first', inplace=True)
df4 = pd.concat([df4,df3[df3.target.isin(df.departure_airport.values)].drop_duplicates(subset='target',keep='first')])
df4.drop_duplicates(subset='target', keep=False, inplace=True)
# 生成nodes
df = df0.groupby(by='departure_airport').agg({'departure_city':'count'}).reset_index().sort_values(by='departure_city', ascending=False).query('departure_city>500')
nodes = []
for i in df['departure_airport']:
dic = {}
dic['name'] = i
nodes.append(dic)
for i in df4['target']:
dic = {}
dic['name'] = i
nodes.append(dic)
#生成links
links = []
for i in df3.drop(index=df3[df3['target'].isin(df['departure_airport'].values)].index).values:
dic = {}
dic['source'] = i[0]
dic['target'] = i[1]
dic['value'] = i[2]
links.append(dic)
# 生成桑基图
c = (
Sankey(init_opts=opts.InitOpts(width="900px", height="1200px"))
.add(
series_name="航班量超过500的机场出发（目的地>5）",
nodes=nodes,
links=links,
linestyle_opt=opts.LineStyleOpts(opacity=0.2, curve=0.1, color="source"),
label_opts=opts.LabelOpts(position="right"),
)
)
c.load_javascript()
c.render_notebook()
航线关系图
from pyecharts import options as opts
from pyecharts.charts import Graph
import pandas as pd
import pandas as pd
# 读取和预处理数据
df0 = pd.read_excel('data/航班数据.xls')
df1 = df0["departure_city"].value_counts()
df1 = pd.DataFrame({'name': df1.index, "symbolSize": df1.values})
# 生成节点数据
nodes = []
for i in df1.values:
dic1 = {}
dic1['name'] = i[0]
dic1['symbolSize'] = i[1] / 50 # 调整节点大小
dic1['value'] = i[1]
nodes.append(dic1)
# 生成连线数据
df2 = df0[['departure_city', 'landing_city']].drop_duplicates()
links = []
for j in df2.values:
dic2 = {}
dic2['source'] = j[0]
dic2['target'] = j[1]
links.append(dic2)
# 创建关系图
c = (
Graph(init_opts=opts.InitOpts(width="1200px", height="900px"))
.set_colors('blue')
.add(
"",
nodes,
links,
layout="circular", # 设置布局为圆形
is_rotate_label=True, # 旋转标签以提高可见性
linestyle_opts=opts.LineStyleOpts(opacity=0.4, curve=0.3, color="source", width=0.5), # 线条样式选项
label_opts=opts.LabelOpts(position='center', font_size=8), # 标签选项
)
.set_global_opts(title_opts=opts.TitleOpts(title="出发航线关系图")) # 设置标题
)
c.load_javascript()
c.render_notebook()
动态航线图
import pandas as pd
import numpy as np
from pyecharts import options as opts
from pyecharts.charts import Geo
from pyecharts.globals import ChartType, SymbolType
# 获取数据及预处理
df = pd.read_excel('data/航班数据.xls')
df1 = df[['departure_city','departure_airport','departure_y','departure_x','landing_city','landing_airport','landing_y','landing_x']].copy()
df2 = df1[['departure_city','departure_airport','departure_y','departure_x']].copy()
df2.rename(columns={'departure_city':'city','departure_airport':'airport','departure_y':'lat','departure_x':'lon'}, inplace=True)
df3 = df1[['landing_city','landing_airport','landing_y','landing_x']].copy()
df3.rename(columns={'landing_city':'city','landing_airport':'airport','landing_y':'lat','landing_x':'lon'}, inplace=True)
df2 = pd.concat([df2,df3])
df2.drop_duplicates(subset='airport', keep='first', inplace=True)
airportPoint = list(zip(df2['airport'],list(zip(round(df2['lon'],2),round(df2['lat'],2)))))
airportData = list(zip(df2['airport'],df2['city']))
# 航线起始
df_by = df1[df1.departure_airport=='白云机场'].copy()
by_data = list(zip(df_by.drop_duplicates(subset='landing_airport',keep='first')['departure_airport'],df_by.drop_duplicates(subset='landing_airport',keep='first')['landing_airport']))
df_jb = df1[df1.departure_airport=='江北机场'].copy()
jb_data = list(zip(df_jb.drop_duplicates(subset='landing_airport',keep='first')['departure_airport'],df_jb.drop_duplicates(subset='landing_airport',keep='first')['landing_airport']))
df_ba = df1[df1.departure_airport=='宝安机场'].copy()
ba_data = list(zip(df_ba.drop_duplicates(subset='landing_airport',keep='first')['departure_airport'],df_ba.drop_duplicates(subset='landing_airport',keep='first')['landing_airport']))
df_cs = df1[df1.departure_airport=='长水机场'].copy()
cs_data = list(zip(df_cs.drop_duplicates(subset='landing_airport',keep='first')['departure_airport'],df_cs.drop_duplicates(subset='landing_airport',keep='first')['landing_airport']))
df_xs = df1[df1.departure_airport=='萧山机场'].copy()
xs_data = list(zip(df_xs.drop_duplicates(subset='landing_airport',keep='first')['departure_airport'],df_xs.drop_duplicates(subset='landing_airport',keep='first')['landing_airport']))
df_sl = df1[df1.departure_airport=='双流机场'].copy()
sl_data = list(zip(df_sl.drop_duplicates(subset='landing_airport',keep='first')['departure_airport'],df_sl.drop_duplicates(subset='landing_airport',keep='first')['landing_airport']))
df_hq = df1[df1.departure_airport=='虹桥机场'].copy()
hq_data = list(zip(df_hq.drop_duplicates(subset='landing_airport',keep='first')['departure_airport'],df_hq.drop_duplicates(subset='landing_airport',keep='first')['landing_airport']))
df_pd = df1[df1.departure_airport=='浦东机场'].copy()
pd_data = list(zip(df_pd.drop_duplicates(subset='landing_airport',keep='first')['departure_airport'],df_pd.drop_duplicates(subset='landing_airport',keep='first')['landing_airport']))
df_xy = df1[df1.departure_airport=='咸阳机场'].copy()
xy_data = list(zip(df_xy.drop_duplicates(subset='landing_airport',keep='first')['departure_airport'],df_xy.drop_duplicates(subset='landing_airport',keep='first')['landing_airport']))
# 飞机形状
plane = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z'
# 创建地理坐标系图对象
geo = (
Geo(init_opts=opts.InitOpts(width="1200px", height="1200px"))
.add_schema(
maptype="china",
itemstyle_opts=opts.ItemStyleOpts(color="#000000", border_color="#1E90FF"),
emphasis_label_opts=opts.LabelOpts(is_show=False),
emphasis_itemstyle_opts=opts.ItemStyleOpts(color='#323c48'),
)
)
# 添加机场坐标
for airport, coordinate in airportPoint:
geo.add_coordinate(airport, *coordinate)
# 添加机场分布数据
geo.add(
series_name="机场分布",
data_pair=airportData,
symbol_size=6,
color="#E1FFFF",
).set_series_opts(
label_opts=opts.LabelOpts(is_show=False),
).set_global_opts(
title_opts=opts.TitleOpts(title="")
)
# 航线
geo.add(
"白云机场航线",
by_data,
type_=ChartType.LINES,
symbol_size=2,
effect_opts=opts.EffectOpts(
symbol=plane,
symbol_size=7,
trail_length=0,
period=5,
is_show=True,
color="white"
),
linestyle_opts=opts.LineStyleOpts(
# type_='dashed',
width=0.3,
curve=0.2,
color='#1E90FF',),
)
geo.add(
"江北机场航线",
jb_data,
type_=ChartType.LINES,
symbol_size=2,
effect_opts=opts.EffectOpts(
symbol=plane,
symbol_size=7,
trail_length=0,
period=5,
is_show=True,
color="white"
),
linestyle_opts=opts.LineStyleOpts(
# type_='dashed',
width=0.3,
curve=0.2,
color='#1E90FF',),
)
geo.add(
"保安机场航线",
ba_data,
type_=ChartType.LINES,
symbol_size=2,
effect_opts=opts.EffectOpts(
symbol=plane,
symbol_size=7,
trail_length=0,
period=5,
is_show=True,
color="white"
),
linestyle_opts=opts.LineStyleOpts(
# type_='dashed',
width=0.3,
curve=0.2,
color='#1E90FF',),
)
geo.add(
"长水机场航线",
cs_data,
type_=ChartType.LINES,
symbol_size=2,
effect_opts=opts.EffectOpts(
symbol=plane,
symbol_size=7,
trail_length=0,
period=5,
is_show=True,
color="white"
),
linestyle_opts=opts.LineStyleOpts(
# type_='dashed',
width=0.3,
curve=0.2,
color='#1E90FF',),
)
geo.add(
"萧山机场航线",
xs_data,
type_=ChartType.LINES,
symbol_size=2,
effect_opts=opts.EffectOpts(
symbol=plane,
symbol_size=7,
trail_length=0,
period=5,
is_show=True,
color="white"
),
linestyle_opts=opts.LineStyleOpts(
# type_='dashed',
width=0.3,
curve=0.2,
color='#1E90FF',),
)
geo.add(
"双流机场航线",
sl_data,
type_=ChartType.LINES,
symbol_size=2,
effect_opts=opts.EffectOpts(
symbol=plane,
symbol_size=7,
trail_length=0,
period=5,
is_show=True,
color="white"
),
linestyle_opts=opts.LineStyleOpts(
# type_='dashed',
width=0.3,
curve=0.2,
color='#1E90FF',),
)
geo.add(
"虹桥机场航线",
hq_data,
type_=ChartType.LINES,
symbol_size=2,
effect_opts=opts.EffectOpts(
symbol=plane,
symbol_size=7,
trail_length=0,
period=5,
is_show=True,
color="white"
),
linestyle_opts=opts.LineStyleOpts(
# type_='dashed',
width=0.3,
curve=0.2,
color='#1E90FF',),
)
geo.add(
"浦东机场航线",
pd_data,
type_='lines',
symbol_size=2,
is_large=True,
effect_opts=opts.EffectOpts(
symbol=plane,
symbol_size=7,
trail_length=0,
period=5,
is_show=True,
color="white",
),
linestyle_opts=opts.LineStyleOpts(
# type_='dashed',
width=0.3,
curve=0.2,
color='#1E90FF',),
)
geo.add(
"咸阳机场航线",
xy_data,
type_=ChartType.LINES,
symbol_size=2,
effect_opts=opts.EffectOpts(
symbol=plane,
symbol_size=7,
trail_length=0,
period=5,
is_show=True,
color="white"
),
linestyle_opts=opts.LineStyleOpts(
# type_='dashed',
width=0.3,
curve=0.2,
color='#1E90FF',),
)
# 标签
geo.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
# 图例
geo.set_global_opts(
title_opts=opts.TitleOpts(title="国内航线图", pos_top='3%', pos_left='center'),
tooltip_opts=opts.TooltipOpts(is_show=True),
legend_opts=opts.LegendOpts(is_show=True, pos_left='left', pos_top='50%', orient='vertical',
selected_mode='single')
)
geo.load_javascript()
geo.render_notebook()
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