Plotting to recall a plot based on SO https://stackoverflow.com/q/76842073/8508004¶
In [1]:
import matplotlib.pyplot as plt
In [2]:
a = range(10)
b = [2**x + 5 for x in a]
In [3]:
fig = plt.figure(figsize=(2,2))
<Figure size 200x200 with 0 Axes>
In [4]:
ax = fig.add_axes([.1,.1,.8,.8])
In [5]:
ax.plot(a,b, label='b');
I didn't think for the next line plt.show() would be necessary in modern Jupyter to show the plot as in the demo , but it was needed! Oddd.
In [6]:
plt.figure(fig);
In [7]:
plt.figure(fig); plt.show()
In [8]:
fig
Out[8]:
I suggest addition of the following two options based on using the .figure attribure, see here and here and here for more information and examples of .figure use (or also the third paragraph here where sometimes seaborn, which is built on matplotlib, a bit confusingly, uses .fig or .figure at times):
In [9]:
fig.figure
Out[9]:
In [10]:
ax.figure
Out[10]:
In [ ]: