I am getting Date error in python

Dash Python
1

:I am writing as program and getting key error : ‘signup_date’ which I am unable to understand

Here is my code:

import pandas as pd

# load the dataset
data = pd.read_csv('/content/WA_Fn-UseC_-Telco-Customer-Churn.csv')
data.head()

# Check for missing values
print(data.isnull().sum())

# Fill missing values
data['tenure'].fillna(data['tenure'].median(), inplace=True)

# convert categorical variable to numerical using One-Hot Encoding
data = pd.get_dummies(data, drop_first=True)

# check data types
print(data.dtypes)

# Convert 'signup_date' to datetime format and extract new features

data['signup_date'] = pd.to_datetime(data['signup_date'])
data['subscription_duration'] = (pd.to_datetime('today') - data['signup_date']).dt.days

# Create interaction features

data['tenure_contract'] = data['tenure'] * data['contract_type']

My Error: 
import pandas as pd

# load the dataset
data = pd.read_csv('/content/WA_Fn-UseC_-Telco-Customer-Churn.csv')
data.head()

# Check for missing values
print(data.isnull().sum())

# Fill missing values
data['tenure'].fillna(data['tenure'].median(), inplace=True)

# convert categorical variable to numerical using One-Hot Encoding
data = pd.get_dummies(data, drop_first=True)

# check data types
print(data.dtypes)

# Convert 'signup_date' to datetime format and extract new features

data['signup_date'] = pd.to_datetime(data['signup_date'])
data['subscription_duration'] = (pd.to_datetime('today') - data['signup_date']).dt.days

# Create interaction features

data['tenure_contract'] = data['tenure'] * data['contract_type']

import pandas as pd

# load the dataset
data = pd.read_csv('/content/WA_Fn-UseC_-Telco-Customer-Churn.csv')
data.head()

# Check for missing values
print(data.isnull().sum())

# Fill missing values
data['tenure'].fillna(data['tenure'].median(), inplace=True)

# convert categorical variable to numerical using One-Hot Encoding
data = pd.get_dummies(data, drop_first=True)

# check data types
print(data.dtypes)

# Convert 'signup_date' to datetime format and extract new features

data['signup_date'] = pd.to_datetime(data['signup_date'])
data['subscription_duration'] = (pd.to_datetime('today') - data['signup_date']).dt.days

# Create interaction features

data['tenure_contract'] = data['tenure'] * data['contract_type']