Change pandas plotting backend to get interactive plots instead of matplotlib static plots

问题

When I use pandas df.plot() it has matplotlib as a default plotting backend. But this creates static plots.

I would like interactive plots, so I have to change the pandas plotting background.

How do I do change the plotting backend of pandas to have a different library creating my plots when i use .plot()?

回答1:

You need pandas >= 0.25 to change the plotting backend of pandas.

The available plotting backends are:

matplotlib
hvplot >= 0.5.1
holoviews
pandas_bokeh
plotly >= 4.8
altair

So, the default setting is:

pd.options.plotting.backend = 'matplotlib'

You can change the plotting library that pandas uses as follows. In this case it sets hvplot / holoviews as the plotting backend:

pd.options.plotting.backend = 'hvplot'

Or you can also use (which is basically the same):

pd.set_option('plotting.backend', 'hvplot')

Now you have hvplot / holoviews as your plotting backend for pandas and it will give you interactive holoviews plots instead of static matplotlib plots.

Of course you need to have library hvplot / holoviews + dependencies installed for this to work.

Here's a code example resulting in an interactive plot. It uses the standard .plot() pandas syntax:

import numpy as np
import pandas as pd

import hvplot
import hvplot.pandas

pd.options.plotting.backend = 'hvplot'

data = np.random.normal(size=[50, 2])

df = pd.DataFrame(data, columns=['x', 'y'])

df.plot(kind='scatter', x='x', y='y')

回答2:

As of plotly 4.8.0 you can use plotly for interactive plotting with pandas 1.0+.

Update with pip install -U plotly

Set the plotting backend to plotly:

pd.options.plotting.backend = "plotly" 

df = pd.DataFrame(dict(a=[1, 2, 3], b=[2, 4, 6]))
df.plot()

Here's the announcement

回答3:

To change the pandas plotting backend for the whole session, use:

pd.options.plotting.backend = 'plotly'

To change the pandas plotting backend only for one particular plot, use:

df.plot(backend='plotly')