Automating for loop between multiple subarrays in Python

I have multiple dbf files in a directory that I am trying to loop through and convert into excel files. However, because the loop times out after running for a while I divided the array list into ten subarrays of the same size.

import arcpy
import os
import glob
from arcpy.sa import *
from arcpy import env
import numpy as np
import pandas as pd

dbf_filenames = sorted(glob.glob("*.dbf"))

# Split the array into ten equal parts
pieces = 10
new_arrays = np.array_split(dbf_filenames, pieces)

# Set
array_list = new_arrays[0]

for file in array_list:
   basefilename = os.path.basename(file)

    # Name of File
    CleanBaseStr = os.path.splitext(basefilename)[0]

    # Create Variable for Year
    yearmonth = os.path.splitext(basefilename)[0][16:22]

    # Create Variable for Gage Number
    Gage = '_'.join(CleanBaseStr.split('_')[1:-1])
    # print(Gage)

    # Create New Field
    field_name = "Year_Month"
    field_type = "DOUBLE"

    field = ["Year_Month"]
    # arcpy.management.DeleteField(file, field)
    arcpy.management.AddField(file, field_name, field_type, field_length = 6)

    with arcpy.da.UpdateCursor(file, field) as cursor:

        try:
            for row in cursor:
                # print (row)
                row[0] = yearmonth
                cursor.updateRow(row)

                ### Execute table to excel
                # Name Excel file
                out_xls = CleanBaseStr + ".xlsx"
                output_file = os.path.join(path,out_xls)

                # Open dbf files
                new_df = Dbf5(file)

                # Conver dbf to databframe
                df = new_df.to_dataframe()
                df['Year_Month'] = yearmonth
                # print(df)

                # Save dataframe to excel
                df.to_excel(output_file)

        except:
            continue

The loop works as I want it to, but I would like to know if there is a way to automate the for loop to move between the subarrays rather than doing the change manually. Currently, I am waiting for the loop to finish and then manually changing the subarrays fromnew_arrays[0] to new_arrays[1] and so forth until I reach the last subarray new_arrays[9].