error in timestamp

[Led_Zeppelin]

when I try to run the following code, I get an error

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

from statsmodels.tsa.stattools import adfuller
from statsmodels.tsa.seasonal import seasonal_decompose

import time
from tqdm import tqdm 
from scipy  import stats  
from sklearn.metrics import mean_squared_error
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split

from sklearn.feature_selection import RFE
from sklearn.ensemble import ExtraTreesClassifier

from sklearn.metrics import f1_score
from sklearn.metrics import roc_auc_score
from sklearn.metrics import roc_curve, auc
from sklearn.metrics import confusion_matrix
from sklearn.metrics import classification_report

from xgboost import XGBClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression

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

print('here')

df.head()

# Find Duplicate Values
# Results will be the list of duplicate values
# If no duplicate values, nothing will list.
df[df['timestamp'].duplicated(keep=False)]

df.isnull().sum()

df['machine_status'].value_counts()

# Convert timestamp column into data type into datetime
df['timestamp'] = pd.to_datetime(df['timestamp'])

# Create a Series
time_period = pd.Series([])

# Assign values to series
for i in tqdm(range(df.shape[0])):
    if (df["timestamp"][i].hour >= 4) and (df[timestamp][i].hour < 10):
        time_period[i]="Morning"  
    elif (df["timestamp"][i].hour >= 10) and (df[timestamp][i].hour < 16):
        time_period[i]="Noon"  
    elif (df["timestamp"][i].hour >= 16) and (df[timestamp][i].hour < 22):   
        time_period[i]="Evening"
    else:    
        time_period[i]="Night"

# Insert new column time period
df.Insert(2, 'time_period', time_period) 

I get an error. The error is

Error:
C:\Users\james\AppData\Local\Temp\ipykernel_24076\1118037779.py:50: FutureWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.
  time_period = pd.Series([])
  0%|                                                                           | 240/220320 [00:00<01:59, 1848.32it/s]
---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Input In [1], in <cell line: 53>()
     52 # Assign values to series
     53 for i in tqdm(range(df.shape[0])):
---> 54     if (df["timestamp"][i].hour >= 4) and (df[timestamp][i].hour < 10):
     55         time_period[i]="Morning"  
     56     elif (df["timestamp"][i].hour >= 10) and (df[timestamp][i].hour < 16):

NameError: name 'timestamp' is not defined

Now it says timestamp not defined. I think it is. This is not my code, but somebody else's code.

I am not sure how to correct, I beleive it has something to do with these lines

# Convert timestamp column into data type into datetime
df['timestamp'] = pd.to_datetime(df['timestamp'])

How can I fix it?

Any help appreciated.

Respectfully,

LZ