你没有提供样本数据。 隐你是定义的一个数据架
| 多边形 |
ObjectId |
ObjClass |
时间 |
| 多边形((58 91, 58 77, 0 73, -0 87, 58 91)) |
0 |
1 |
00:00 |
| 多边形((51 102, 58 90, 7 62, 0 74, 51 102)) |
0 |
1 |
01:00 |
| 多边形((40 110, 52 101, 18 54, 6 63, 40 110)) |
0 |
1 |
02:00 |
这已经假定一个额外的列 ObjectId ，是同一 面 都有不同的坐标为每个 时间
最简单的方式来创建一个 plotly 动画图是使用 Plotly表达的. 因此，调整数据以 x 和 y 序在很长的据框
import io
import pandas as pd
import numpy as np
import plotly.graph_objects as go
import plotly.express as px
import shapely.wkt
df_p = pd.read_csv(io.StringIO("""Polygon,ObjectId,ObjClass,time
"POLYGON ((58 91, 58 77, 0 73, -0 87, 58 91))",0,1,00:00
"POLYGON ((51 102, 58 90, 7 62, 0 74, 51 102))",0,1,01:00
"POLYGON ((40 110, 52 101, 18 54, 6 63, 40 110))",0,1,02:00
"POLYGON ((28 112, 41 109, 30 52, 17 55, 28 112))",0,1,03:00
"POLYGON ((32 29, 20 33, 38 93, 50 89, 32 29))",1,1,00:00
"POLYGON ((45 31, 34 29, 25 91, 36 93, 45 31))",1,1,01:00
"POLYGON ((57 38, 47 32, 13 84, 23 90, 57 38))",1,1,02:00
"POLYGON ((65 50, 58 39, 5 72, 12 83, 65 50))",1,1,03:00
"POLYGON ((1 90, 7 90, 12 48, 6 48, 1 90))",2,1,00:00
"POLYGON ((-7 85, -2 89, 20 53, 15 49, -7 85))",2,1,01:00
"POLYGON ((-13 78, -10 83, 26 60, 23 55, -13 78))",2,1,02:00
"POLYGON ((-15 69, -14 75, 28 69, 27 63, -15 69))",2,1,03:00
"POLYGON ((59 12, 49 18, 84 92, 94 86, 59 12))",3,1,00:00
"POLYGON ((77 11, 65 11, 66 93, 78 93, 77 11))",3,1,01:00
"POLYGON ((94 17, 83 12, 49 87, 60 92, 94 17))",3,1,02:00
"POLYGON ((107 30, 99 21, 36 74, 44 83, 107 30))",3,1,03:00
"POLYGON ((9 29, 3 37, 13 43, 19 35, 9 29))",4,1,00:00
"POLYGON ((12 28, 4 34, 10 44, 18 38, 12 28))",4,1,01:00
"POLYGON ((15 29, 5 31, 7 43, 17 41, 15 29))",4,1,02:00
"POLYGON ((17 32, 8 29, 5 40, 14 43, 17 32))",4,1,03:00"""))
df_p["Polygon"] = df_p["Polygon"].apply(shapely.wkt.loads)
# explode out ploygons to x & y for plotly express
df_plot = (
df_p["Polygon"]
.apply(
lambda p: [{"x": x, "y": y} for x, y in zip(p.exterior.xy[0], p.exterior.xy[1])]
)
.explode()
.apply(pd.Series)
.join(df_p)
)
px.line(df_plot, x="x", y="y", color="ObjectId", animation_frame="time")
使用的样本数据
import pandas as pd
import io
import plotly.express as px
df = pd.read_csv(
io.StringIO(
"""ObjClass Time ObjID Corner Lat Long
0 3.0 5.9 54.0 RR 21.549906 129.418088
563 3.0 5.9 54.0 LR 23.569243 129.523022
1126 3.0 5.9 54.0 LF 23.569243 136.523022
1689 3.0 5.9 54.0 RF 21.549906 136.418088
1 3.0 5.95 54.0 RR 17.946687 114.856340
564 3.0 5.95 54.0 LR 19.726662 114.919184
1127 3.0 5.95 54.0 LF 19.726662 121.919184
1690 3.0 5.95 54.0 RF 17.946687 121.856340
2 3.0 6.0 54.0 RR 17.685873 121.115523
565 3.0 6.0 54.0 LR 19.556310 121.182149
1128 3.0 6.0 54.0 LF 19.556310 128.182149
1691 3.0 6.0 54.0 RF 17.685873 128.115523
3 3.0 6.05 54.0 RR 17.685873 121.115523
566 3.0 6.05 54.0 LR 19.556310 121.182149
1129 3.0 6.05 54.0 LF 19.556310 128.182149
1692 3.0 6.05 54.0 RF 17.685873 128.115523
4 3.0 6.1 54.0 RR 17.375609 127.925362
567 3.0 6.1 54.0 LR 19.322351 127.848100
1130 3.0 6.1 54.0 LF 19.322351 134.848100
1693 3.0 6.1 54.0 RF 17.375609 134.925362"""
),
sep="\s+",
engine="python",
)
# if polygon is a quadrangle, need five points to define it. 4 is just a linestring
# duplicate first corner
df = pd.concat([df, df.loc[df["Corner"].eq("RR")].assign(Corner="RR2")])
# need to sort by Corner, hence make it a categorical
df["Corner"] = pd.Categorical(
df["Corner"], ["RR", "RF", "LF", "LR", "RR2"], ordered=True
)
px.line(
df.sort_values(["ObjID", "Time", "Corner"]),
x="Long",
y="Lat",
color="ObjID",
animation_frame="Time",
).update_layout(
xaxis={"range": [df["Long"].min(), df["Long"].max()]},
yaxis={"range": [df["Lat"].min(), df["Lat"].max()]},
)
