I apologize for putting in those unnecessary print statements. Here is the revised code without those statements.

import pandas as pd
import matplotlib.pyplot as plt

# Load the data into a pandas dataframe
df = pd.read_csv('filename.txt', sep='|')

# Create subplots for each numeric column and plot the distribution of values
numeric_cols = df.select_dtypes(include=['int64', 'float64']).columns.tolist()
num_plots = len(numeric_cols)
fig, axs = plt.subplots(nrows=1, ncols=num_plots, figsize=(20, 5))
for i, col in enumerate(numeric_cols):
    axs[i].hist(df[col], bins=20)
    axs[i].set_title(col)
    axs[i].set_xlabel("Value")
    axs[i].set_ylabel("Frequency")
plt.show()
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