check converting timestamp into dates

Try using this code:

import pandas as pd

# Load the CSV file

df = pd.read_csv("Naamsa_Vehicle_Sales.csv")

# Convert the "Month" column to a date format

df["Month"] = pd.to_datetime(df["Month"])

# Extract the year and month information and create new columns

df["Year"] = df["Month"].dt.year

df["Month_Number"] = df["Month"].dt.month

# Optionally, drop the original "Month" column

df = df.drop("Month", axis=1)

# Display the resulting dataframe

print(df.head())

Hope it helps...

Hello, there should be a new notebook uploaded today to fix this issue of the naamsa data. You can use the same logic for the latter.

I will check it out and get back to you. But if you have done it let me know