如何在叶上使 用基于PolyLine的颜色

Question

我尝试根据使用草叶的速度（例如Strava等应用程序），使用不同颜色的种族进行比赛。

我看到您可以根据数据更改标记的颜色，但是我无法将其与PolyLines换位。

这是我的可视化代码：

points = []
for track in gpx.tracks:
    for segment in track.segments:        
        for point in segment.points:
            points.append(tuple([point.latitude, point.longitude]))

ave_lat = sum(p[0] for p in points)/len(points)
ave_lon = sum(p[1] for p in points)/len(points)

my_map = folium.Map(location=[ave_lat, ave_lon], zoom_start=13)
folium.PolyLine(points, color="red", weight=2.5, opacity=1).add_to(my_map)

我也有一个经度，纬度和速度的数据框，我希望这条线根据速度改变颜色。

Answer 1

PolyLine函数没有为您执行此操作的内置方法。 color参数需要一个字符串值：“ red”或“＃FF0000”。因此，我所知道的最简单的方法是创建一个以舍入速度为键并以所需的颜色十六进制代码为值的字典：

给出一个包含坐标的数据框：

>>> coordinates = {'lat':[52.354, 52.081, 52.384], 'lng':[4.903, 5.099, 4.643]}
>>> df = pd.DataFrame(data=coordinates, index=['Amsterdam', 'Utrecht', 'Haarlem'])
>>> df
              lat    lng
Amsterdam  52.354  4.903
Utrecht    52.081  5.099
Haarlem    52.384  4.643

以及包含这些速度之间的字典：

>>> dict_speed = {}
>>> cities_all = df.index.to_list()
>>> 
>>> for origin in df.index:
...     dict_speed[origin] = {
...         desti: np.random.uniform(3, 30) for desti in cities_all if origin != desti
...     }
...     cities_all.remove(origin)
... 
>>> dict_speed
{'Amsterdam': {'Utrecht': 11.17300608896625, 'Haarlem': 28.078139459927645},
 'Utrecht': {'Haarlem': 17.07939077211872},
 'Haarlem': {}}

最终成分：使用此链接（http://blogs.perl.org/users/ovid/2010/12/perl101-red-to-green-gradient.html）为给定速度为我们提供所需颜色的映射字典：

list_colors = [
    "#00FF00",
    "#12FF00",
    "#24FF00",
    "#35FF00",
    "#47FF00",
    "#58FF00",
    "#6AFF00",
    "#7CFF00",
    "#8DFF00",
    "#9FFF00",
    "#B0FF00",
    "#C2FF00",
    "#D4FF00",
    "#E5FF00",
    "#F7FF00",
    "#FFF600",
    "#FFE400",
    "#FFD300",
    "#FFC100",
    "#FFAF00",
    "#FF9E00",
    "#FF8C00",
    "#FF7B00",
    "#FF6900",
    "#FF5700",
    "#FF4600",
    "#FF3400",
    "#FF2300",
    "#FF1100",
    "#FF0000",
]
color_dict = {i: list_colors[i] for i in range(len(list_colors))}

和绘图代码：

my_map = folium.Map(
    location=[np.mean(df["lat"].values), np.mean(df["lng"].values)],
    zoom_start=7,
    tiles="Stamen Terrain",
)

for city, row in df.iterrows():
    folium.Marker([row["lat"], row["lng"]], tooltip=city).add_to(my_map)

for origin, _ in dict_speed.items():
    for desti, speed in _.items():
        folium.PolyLine(
            (df.loc[origin].values, df.loc[desti].values),
            color=color_dict[round(speed)],
        ).add_to(my_map)

my_map

您将获得带有颜色的叶片图，指示速度！

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