How Can I Open The Interactive Matplotlib Window In Ipython Notebook?
Solution 1:
According to the documentation, you should be able to switch back and forth like this:
In[2]: %matplotlibinlineIn[3]: plot(...)
In[4]: %matplotlibqt # wx, gtk, osx, tk, emptyusesdefaultIn[5]: plot(...)
and that will pop up a regular plot window (a restart on the notebook may be necessary).
I hope this helps.
Solution 2:
If all you want to do is to switch from inline plots to interactive and back (so that you can pan/zoom), it is better to use %matplotlib magic.
#interactive plotting in separate window
%matplotlib qt
and back to html
#normal charts inside notebooks
%matplotlib inline
%pylab magic imports a bunch of other things and may even result in a conflict. It does "from pylab import *".
You also can use new notebook backend (added in matplotlib 1.4):
#interactive charts inside notebooks, matplotlib 1.4+
%matplotlib notebook
If you want to have more interactivity in your charts, you can look at mpld3 and bokeh. mpld3 is great, if you don't have ton's of data points (e.g. <5k+) and you want to use normal matplotlib syntax, but more interactivity, compared to %matplotlib notebook . Bokeh can handle lots of data, but you need to learn it's syntax as it is a separate library.
Also you can check out pivottablejs (pip install pivottablejs)
from pivottablejs import pivot_ui
pivot_ui(df)
However cool interactive data exploration is, it can totally mess with reproducibility. It has happened to me, so I try to use it only at the very early stage and switch to pure inline matplotlib/seaborn, once I got the feel for the data.
Solution 3:
Starting with matplotlib 1.4.0 there is now an an interactive backend for use in the notebook
%matplotlib notebook
There are a few version of IPython which do not have that alias registered, the fall back is:
%matplotlib nbagg
If that does not work update you IPython.
To play with this, goto tmpnb.org
and paste
%matplotlib notebook
import pandas as pd
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
import seaborn as sns
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
ts = ts.cumsum()
df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index,
columns=['A', 'B', 'C', 'D'])
df = df.cumsum()
df.plot(); plt.legend(loc='best')
into a code cell (or just modify the existing python demo notebook)
Solution 4:
You can use
%matplotlib qt
If you got the error ImportError: Failed to import any qt binding
then install PyQt5 as: pip install PyQt5
and it works for me.
Solution 5:
A better solution for your problem might be the Charts library. It enables you to use the excellent Highcharts javascript library to make beautiful and interactive plots. Highcharts uses the HTML svg
tag so all your charts are actually vector images.
Some features:
- Vector plots which you can download in .png, .jpg and .svg formats so you will never run into resolution problems
- Interactive charts (zoom, slide, hover over points, ...)
- Usable in an IPython notebook
- Explore hundreds of data structures at the same time using the asynchronous plotting capabilities.
Disclaimer: I'm the developer of the library
Post a Comment for "How Can I Open The Interactive Matplotlib Window In Ipython Notebook?"