Rama Wijaya

# Library
import os
import geopandas as gpd
import rasterio
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import rasterio.mask
from rasterio.plot import show
from rasterio.warp import transform_geom

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM, Dense, Dropout
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import mean_squared_error, mean_absolute_error, confusion_matrix, ConfusionMatrixDisplay
from sklearn.model_selection import train_test_split
import warnings
warnings.filterwarnings("ignore")

import pandas as pd
import numpy as np
from IPython.display import display
import os

# Define file paths
source_file_path = r"\Regression.xlsx"
result_file_path = r"\RegressionGraph_Results.xlsx"

# Verify paths exist
if not os.path.exists(source_file_path):
    print(f"Warning: Source file not found at {source_file_path}")
else:
    print(f"Source file found: {source_file_path}")

# Create results directory if it doesn't exist
os.makedirs(os.path.dirname(result_file_path), exist_ok=True)

import netCDF4 as nc
import os
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from datetime import datetime
import warnings
warnings.filterwarnings('ignore')

import pandas as pd
import numpy as np
from scipy import stats

import matplotlib.pyplot as plt

import pandas as pd
import numpy as np
from scipy.stats import kendalltau

import pandas as pd
import numpy as np
from scipy import stats

import pandas as pd
import numpy as np 
import scipy.stats as stats
from scipy import stats

import pandas as pd