Choosing a plotting backend¶
Inline plots¶
In [1]:
import numpy as np
import matplotlib.pyplot as plt
In [2]:
%matplotlib inline
In [3]:
plt.imshow(np.random.rand(10, 10), interpolation='none')
Exported figures¶
GUI toolkits¶
In [4]:
%matplotlib qt
plt.imshow(np.random.rand(10, 10), interpolation='none')
Dynamic inline plots¶
In [5]:
import matplotlib
matplotlib.use('nbagg')
In [6]:
plt.imshow(np.random.rand(10, 10), interpolation='none')
plt.show()
Web-based visualization¶
In [7]:
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import mpld3
mpld3.enable_notebook()
In [8]:
plt.imshow(np.random.rand(10, 10), interpolation='none')
