python - 使用 python 绘制 pandas 列的交互式图

Question

我有一张如下表：

np.random.seed(42)
df = pd.DataFrame(np.random.randint(0, 1000, size=(24,53)))
df['hour'] = range(24)
for col in df.columns[:-1]:
    df.rename({col: str(col)}, axis=1, inplace=True)

我想绘制。列（除外hour）对应于一年中的星期，行对应于一天中的小时。直接使用 pandas 将是：

df[df.columns[:-1]].plot(legend=False);

产生：

但是，我想在游戏中添加交互性。我想用，bokeh但它变化太快，我现在不知道怎么做。我尝试使用holoviews：

import holoviews as hv
hv.extension('bokeh')
%%opts Curve [tools=['hover']]
lines = [hv.Curve((df['hour'], df[col]), label=col) for col in df.columns[:-1]]

from functools import reduce
reduce(lambda x, y: x*y, lines) # I'm not sure this is a clean way

产生类似的东西：

这几乎是我想要的。特别是，悬停工具显示其下方点的 x/y 坐标。我希望它显示相应曲线的星期。最后，有没有更蟒蛇的方式来做到这一点？也许直接用bokeh？

Answer 1

You could have a look at the new holoplot project which is meant to be (almost) a drop-in replacement for the pandas plotting API built on HoloViews and Bokeh. That will allow you do use the regular pandas API:

import holoplot.pandas
df[df.columns[:-1]].plot(legend=False)

Note that it is still in active development. Separately for the sake of completeness the simpler way to express your HoloViews code would be:

lines = [hv.Curve((df['hour'], df[col]), label=col) for col in df.columns[:-1]]
hv.Overlay(lines)