Plotly画天气风向动态雷达图
时间: 2023-07-05 17:13:26 浏览: 258
要画天气风向动态雷达图,可以使用Plotly的polar图表类型。以下是一个简单的示例代码,展示如何使用Plotly画天气风向动态雷达图:
```python
import plotly.graph_objects as go
import numpy as np
# 风向和风速数据
wind_direction = np.arange(0, 360, 30)
wind_speed = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120]
# 创建polar图表
fig = go.Figure(
go.Scatterpolar(
r=wind_speed,
theta=wind_direction,
mode="markers",
marker=dict(
size=12,
color=wind_direction,
colorscale="Viridis",
line=dict(width=2, color="black"),
colorbar=dict(title="Wind Direction")
),
opacity=0.8,
hoverinfo="r"
)
)
# 设置布局
fig.update_layout(
polar=dict(
radialaxis=dict(
visible=True,
range=[0, 130]
)
),
showlegend=False,
updatemenus=[
dict(
type="buttons",
buttons=[
dict(
label="Play",
method="animate",
args=[
None,
dict(
frame=dict(duration=50, redraw=True),
fromcurrent=True,
transition=dict(duration=0)
)
]
),
dict(
label="Pause",
method="animate",
args=[
[None],
dict(
frame=dict(duration=0, redraw=False),
mode="immediate",
transition=dict(duration=0)
)
]
)
],
showactive=False,
direction="left",
x=0.1,
y=0,
xanchor="right",
yanchor="top"
)
]
)
# 设置动态效果
frames = []
for i in range(len(wind_speed)):
frame = go.Frame(
data=[go.Scatterpolar(
r=wind_speed[:i+1],
theta=wind_direction,
mode="markers",
marker=dict(
size=12,
color=wind_direction,
colorscale="Viridis",
line=dict(width=2, color="black"),
colorbar=dict(title="Wind Direction")
),
opacity=0.8,
hoverinfo="r"
)],
name=f"frame_{i}"
)
frames.append(frame)
fig.frames = frames
# 显示图表
fig.show()
```
在这个示例中,我们使用了Scatterpolar图表类型,并设置了风向、风速、颜色、大小等参数。然后,我们使用了updatemenus和Frames来设置动态效果,使得风向动态变化。运行以上代码,就可以看到天气风向动态雷达图了。
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