Question

我正在尝试使用holoviews和bokeh后端进行交互式的绘图。我建立了与线图和散点图链接的热图（遵循此参考文献：https://stackoverflow.com/a/56716827/5219160）。

import pandas as pd
import numpy as np
import holoviews as hv
from holoviews import opts
hv.extension('bokeh', width=90)

import seaborn as sns

# Declare dataset
df = sns.load_dataset('tips')
df = df[['total_bill', 'tip', 'size']]

# Declare HeatMap
corr = df.corr()
heatmap = hv.HeatMap((corr.columns, corr.index, corr))

# Declare Tap stream with heatmap as source and initial values
posxy = hv.streams.Tap(source=heatmap, x='total_bill', y='tip')

# Define function to compute histogram based on tap location
def tap_histogram(x, y):
    m, b = np.polyfit(df[x], df[y], deg=1)
    x_data = np.linspace(df.tip.min(), df.tip.max())
    y_data = m*x_data + b
    return hv.Curve((x_data, y_data), x, y) * hv.Scatter((df[x], df[y]), x, y)


tap_dmap = hv.DynamicMap(tap_histogram, streams=[posxy])

(heatmap + tap_dmap).opts(
    opts.Scatter(height=400, width=400, color='red', ylim=(0, 100), framewise=True),
    opts.HeatMap(tools=['tap', 'hover'], height=400, width=400, toolbar='above'),
    opts.Curve(framewise=True)
)

现在，我想更改它，放置一个滑块来更改多项式（例如range(1, 10)），类似于：

import numpy as np
import holoviews as hv
hv.extension('bokeh')

frequencies = [0.5, 0.75, 1.0, 1.25]

def sine_curve(phase, freq):
    xvals = [0.1* i for i in range(100)]
    return hv.Curve((xvals, [np.sin(phase+freq*x) for x in xvals]))

curve_dict = {f:sine_curve(0,f) for f in frequencies}

hmap = hv.HoloMap(curve_dict, kdims='frequency')
hmap

Holoviews带滑块的动态热图

0 个答案: