This JavaScript code customizes the output area in a Jupyter Notebook or similar environment to prevent excessive scrolling by setting the auto-scroll threshold to 9999. This setting is likely used for debugging or logging purposes where a large amount of output is generated.
%%
javascript
IPython.OutputArea.auto_scroll_threshold = 9999;
# Import required libraries
import numpy as np
def process_realtime_data(data):
"""
Process real-time data to extract relevant information.
Args:
data (numpy.array): Real-time data
Returns:
dict: Processed data with extracted information
"""
# Initialize a dictionary to store processed data
processed_data = {}
# Check if data is None
if data is None:
return processed_data
# Check if data is a numpy array
if not isinstance(data, np.ndarray):
raise ValueError("Data must be a numpy array")
# Extract relevant information from data
# Add more relevant information extraction functions as needed
processed_data['mean'] = np.mean(data)
processed_data['std'] = np.std(data)
# Return processed data
return processed_data
# Test the function with sample data
data = np.array([1, 2, 3, 4, 5])
print(process_realtime_data(data)) # Output: {'mean': 3.0,'std': 1.4142135623730951}
Code Breakdown
%%javascript
cell magic is used to specify the language.IPython.OutputArea.auto_scroll_threshold = 9999;
IPython.OutputArea
refers to an object in IPython's interactive shell.auto_scroll_threshold
is a property that controls when the output area automatically scrolls.