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:
Larz60+ write Jun-11-2022, 02:32 AM:
Please post all code, output and errors (it it's entirety) between their respective tags. Refer to BBCode help topic on how to post. Use the "Preview Post" button to make sure the code is presented as you expect before hitting the "Post Reply/Thread" button.
Fixed for you this time. Please use BBCode tags on future posts.
Please post all code, output and errors (it it's entirety) between their respective tags. Refer to BBCode help topic on how to post. Use the "Preview Post" button to make sure the code is presented as you expect before hitting the "Post Reply/Thread" button.
Fixed for you this time. Please use BBCode tags on future posts.