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Arrows aren't adjusting as expected.
Here's a reproducible example:
``` {python} import pandas as pd import numpy as np import pytimetk as tk # Set a random seed for reproducibility np.random.seed(0) # Define the number of rows for your DataFrame num_rows = 200 # Create fake data for the columns data = { 'Age': np.random.randint(18, 65, size=num_rows), 'Gender': np.random.choice(['Male', 'Female'], size=num_rows), 'Marital_Status': np.random.choice(['Single', 'Married', 'Divorced'], size=num_rows), 'City': np.random.choice(['New York', 'Los Angeles', 'Chicago', 'Houston', 'Miami'], size=num_rows), 'Years_Playing': np.random.randint(0, 30, size=num_rows), 'Average_Income': np.random.randint(20000, 100000, size=num_rows), 'Member_Status': np.random.choice(['Bronze', 'Silver', 'Gold', 'Platinum'], size=num_rows), 'Number_Children': np.random.randint(0, 5, size=num_rows), 'Own_House_Flag': np.random.choice([True, False], size=num_rows), 'Own_Car_Count': np.random.randint(0, 3, size=num_rows), 'PersonId': range(1, num_rows + 1), # Add a PersonId column as a row count 'Client': np.random.choice(['A', 'B'], size=num_rows) # Add a Client column with random values 'A' or 'B' } # Create a DataFrame df = pd.DataFrame(data) # Binarize the data df_binarized = df.binarize(n_bins=4, thresh_infreq=0.01, name_infreq="-OTHER", one_hot=True) df_binarized.glimpse() ``` ``` {python} df_correlated = df_binarized.correlate(target='Member_Status__Platinum') df_correlated.head(10) ``` ``` {python} # Static df_correlated.plot_correlation_funnel( interactive=False, height = 900 )
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Problem
Arrows aren't adjusting as expected.
Example
Here's a reproducible example:
The text was updated successfully, but these errors were encountered: