Holoviews点击相关热图和回归图流 [英] Holoviews tap stream of correlation heatmap and regression plot

问题描述

我想为DataFrame制作一个关联热图，并为每对变量制作一个回归图.我已经尝试阅读所有文档，但是仍然很难连接两个图，因此当我点击热图时，可以显示相应的回归图.

I want to make a correlation heatmap for a DataFrame and a regression plot for each pair of the variables. I have tried to read all the docs and am still having a very hard time to connect two plots so that when I tap the heatmap, the corresponding regression plot can show up.

下面是一些示例代码:

import holoviews as hv
from holoviews import opts
import seaborn as sns
import numpy as np
import pandas as pd
hv.extension('bokeh')

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

corr = df.corr()
heatmap = hv.HeatMap((corr.columns, corr.index, corr))\
            .opts(tools=['tap', 'hover'], height=400, width=400, toolbar='above')

m, b = np.polyfit(df.tip, df.total_bill, deg=1)
x = np.linspace(df.tip.min(), df.tip.max())
y = m*x + b

curve = hv.Curve((x, y))\
          .opts(height=400, width=400, color='red', ylim=(0, 100))
points = hv.Scatter((df.tip, df.total_bill))

hv.Layout((points * curve) + heatmap).cols(2)

推荐答案

我调整了文档的相关部分

I adjusted the relevant parts of the docs http://holoviews.org/reference/streams/bokeh/Tap.html with your code. Maybe this clears up your confusion.

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)
)

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