Dynamically Update Plots in Jupyter IPython

We can first activate the figure using plt.ion() method. Then, we can update the plot with different sets of values.

Steps

• Create fig and ax variables using subplots method, where default nrows and ncols are 1.

• Draw a line, using plot() method.

• Set the color of line, i.e., orange.

• Activate the interaction, using plt.ion() method.

• To make the plots interactive, change the line coordinates.

Example

In [1]: %matplotlib auto

Using matplotlib backend: GTK3Agg

In [2]: import matplotlib.pyplot as plt

# Diagram will get popped up. Let’s update the diagram.
In [3]: fig, ax = plt.subplots()

# Drawing a line
In [4]: ax.plot(range(5))

In [5]: plt.ion()

# updating figures with new lines.
In [6]: ax.plot([1, 3, 4], [4, 6, 1])

Output