Error while trying to transpose the matrix - time-series

Question

Code for a single raster file:
import geopandas as gpd
#import os
import rasterio
import scipy.sparse as sparse
import pandas as pd
import numpy as np
# Create an empty pandas dataframe called 'table'
table = pd.DataFrame(index = np.arange(0,1))
# Read the points shapefile using GeoPandas
stations = gpd.read_file(r'E:/anakonda/Shape files/AAQ_st1/AAQ_ST1.shp')
stations['lon'] = stations['geometry'].x
stations['lat'] = stations['geometry'].y
Matrix = pd.DataFrame()
# Iterate through the rasters and save the data as individual arrays to a Matrix
dataset = rasterio.open(r'E:/anakonda/LST_day/MOD11A1.006_LST_Day_1km_doy2019082_aid0001.tif')
data_array = dataset.read(1)
data_array_sparse = sparse.coo_matrix(data_array, shape = (351, 545))
for records_date in Matrix.columns.tolist():
a = Matrix
LST_day_value = a.loc[int(row)][int(col)]
table[records_date] = LST_day_value
transpose_mat = table.T
transpose_mat.rename(columns = {0: 'LST_Day(Kel)'}, inplace = True)
transpose_mat.to_csv(r'E:/anakonda/LST_day'+'\\'+station_name+'.csv')
Error code lines:
LST_day_value = a.loc[int(row)][int(col)]
transpose_mat.to_csv(r'E:/anakonda/LST_day'+'\'+station_name+'.csv')
Errors Shown:
Undefined Name 'row' (pyflakes E)
Undefined Name 'col' (pyflakes E)
NameError: name 'transpose_mat' is not defined
I'm using the above code for creating a Raster Time-series for Modis LST data. the code ran well till 'transposing the matrix'. the error shown is mentioned below the code. Im new to python, so kindly help me with this issue.
import os
import rasterio
import scipy.sparse as sparse
import pandas as pd
import numpy as np
# Create an empty pandas dataframe called 'table'
table = pd.DataFrame(index = np.arange(0,1))
# Read the points shapefile using GeoPandas
stations = gpd.read_file(r'E:/anakonda/Shape files/AAQ_st1/AAQ_ST1.shp')
stations['lon'] = stations['geometry'].x
stations['lat'] = stations['geometry'].y
Matrix = pd.DataFrame()
# Iterate through the rasters and save the data as individual arrays to a Matrix
for files in os.listdir(r'E:/anakonda/LST_Night'):
if files[-4: ] == '.tif':
dataset = rasterio.open(r'E:/anakonda/LST_Night'+'\\'+files)
data_array = dataset.read(1)
data_array_sparse = sparse.coo_matrix(data_array, shape = (351,545))
data = files[ :-20]
Matrix[data] = data_array_sparse.toarray().tolist()
print('Processing is done for the raster: '+ files[:-20])
# Iterate through the stations and get the corresponding row and column for the related x, y coordinates
for index, row in stations.iterrows():
station_name = str(row['Station'])
lon = float(row['lon'])
lat = float(row['lat'])
x,y = (lon, lat)
row, col = dataset.index(x, y)
print('Processing: '+ station_name)
# Pick the LST value from each stored raster array and record it into the previously created 'table'
for records_date in Matrix.columns.tolist():
a = Matrix[records_date]
LST_Night_value = a.loc[int(row)][int(col)]
table[records_date] = LST_Night_value
transpose_mat = table.T
transpose_mat.rename(columns = {0: 'LstNight(Kel)'}, inplace = True)
transpose_mat.to_csv(r'E:/anakonda/LST_Night'+'\\'+station_name+'.csv')```
This is the error shown:
```File "C:\Anaconda\envs\timeseries\lib\site-packages\pandas\core\indexes\range.py", line 357, in get_loc
raise KeyError(key) from err
KeyError: 2278```