Adding y_error to charts breaking data output

Breaking example:

import matplotlib.pyplot as plt
import pandas as pd

# Create a simple DataFrame with an additional column for standard deviation (error)
data = {
    "Category": ["A", "B", "C"],
    "Value": [10, 15, 7],
    "Std Dev": [1.5, 2.0, 0.8] # Example standard deviation values
}
df = pd.DataFrame(data)

# Create the bar plot with error bars (yerr)
plt.figure(figsize=(6, 4))
plt.bar(df["Category"], df["Value"], yerr=df["Std Dev"], capsize=5) # Added yerr and capsize
plt.xlabel("Category")
plt.ylabel("Value")
plt.title("Simplistic Bar Plot with Error Bars")
plt.tight_layout()
plt.show()

Working example:

import matplotlib.pyplot as plt
import pandas as pd

# Create a very simple DataFrame
data = {
    "Category": ["A", "B", "C"],
    "Value": [10, 15, 7]
}
df = pd.DataFrame(data)

# Create the bar plot without error bars
plt.figure(figsize=(6, 4))
plt.bar(df["Category"], df["Value"])
plt.xlabel("Category")
plt.ylabel("Value")
plt.title("Simplistic Bar Plot")
plt.tight_layout()
plt.show()