有没有办法控制哪个顶点在plotly.express.line_geo地图中连接？

Question

我正在尝试制作一个可以选择使用Animation_Frame显示不同月/年的连接图。 plotly.express具有此选项，但是plotly.express.line_geo地图似乎只是随机连接网络的顶点。我从。

import plotly.express as px
df = px.data.gapminder().query("year == 2007")
fig = px.line_geo(df, locations="iso_alpha",
                  color="continent", # "continent" is one of the columns of gapminder
                  projection="orthographic")
fig.show()

plotly.graph_objects允许您映射顶点之间的实际连接，但似乎没有动画选项。

import plotly.graph_objects as go
import pandas as pd

df_airports = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2011_february_us_airport_traffic.csv')
df_airports.head()

df_flight_paths = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2011_february_aa_flight_paths.csv')
df_flight_paths.head()

fig = go.Figure()

flight_paths = []
for i in range(len(df_flight_paths)):
    fig.add_trace(
        go.Scattergeo(
            locationmode = 'USA-states',
            lon = [df_flight_paths['start_lon'][i], df_flight_paths['end_lon'][i]],
            lat = [df_flight_paths['start_lat'][i], df_flight_paths['end_lat'][i]],
            mode = 'lines',
            line = dict(width = 1,color = 'red'),
            opacity = float(df_flight_paths['cnt'][i]) / float(df_flight_paths['cnt'].max()),
        )
    )

fig.show()

有谁知道我可以制作像飞行路径图这样的地图的方式，但是允许动画选项查看飞行图不同的几个月/年？

Answer 1

• 您可以使用框架
• 将其分组为基于第一开始机场的首字母，
• 而无需每次飞行创建跟踪，而是创建对，而是创建对阵列中的开始端位置的 none
• 此
• 距
• 相距的

import plotly.graph_objects as go
import plotly.express as px
import pandas as pd

df_flight_paths = pd.read_csv(
    "https://raw.githubusercontent.com/plotly/datasets/master/2011_february_aa_flight_paths.csv"
)

frames = []

# lets split data based on first letter of start airport
# create a frame for each grouping
bins = 6
for color, df in df_flight_paths.groupby(
    pd.qcut(
        df_flight_paths["airport1"].str[0].apply(ord),
        q=bins,
        labels=px.colors.qualitative.Plotly[:bins],
    )
):
    name = f'{df["airport1"].str[0].min()}-{df["airport1"].str[0].max()}'
    frames.append(
        go.Frame(
            name=name,
            data=go.Scattergeo(
                lon=df.assign(nan=None)[["start_lon", "end_lon", "nan"]].values.ravel(),
                lat=df.assign(nan=None)[["start_lat", "end_lat", "nan"]].values.ravel(),
                mode="lines",
                line=dict(width=1, color=color),
            ),
        )
    )

# now create figure and add play button and slider
go.Figure(
    data=frames[0].data,
    frames=frames,
    layout={
        "updatemenus": [
            {
                "type": "buttons",
                "buttons": [{"label": "Play", "method": "animate", "args": [None]}],
            }
        ],
        "sliders": [
            {
                "active": 0,
                "steps": [
                    {
                        "label": f.name,
                        "method": "animate",
                        "args": [[f.name]],
                    }
                    for f in frames
                ],
            }
        ],
    },
).update_geos(
    scope="north america",
)

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