I've been trying to perform a visualization with Plotly, but my problem is that I need it to be dynamic. Meaning if I have the code:
import plotly.express as px
data = [1, 5, 4, 7, 5, 2, 3, 9]
data_2 = [1, 2, 3, 4, 5, 6, 1, 5]
area_chart = px.area(data, title='Title')
area_chart.show()
then how do I append 'data_2' to 'data' so that the numbers from 'data_2' appear dynamically on the chart after it's created every 0.5s?
How to do it will depend on the environment in which you are creating the plot. In Jupyter notebook you can do it as follows:
import time
import plotly.graph_objects as go
import numpy as np
# initialize and display plot
fig = go.FigureWidget()
fig.add_scatter(y=np.random.randint(0,10, 5), fill='tozeroy')
display(fig)
# modify plot using new data
for i in range(10):
time.sleep(0.5)
fig.data[0].y = np.random.randint(0,10, 5)
This gives:
Outside Jupyter notebook, you can use Dash.