XLRDError: No sheet named <'Sheet1'> in python - python-2.7

Question

I am trying to convert the xls into csv file using pandas in python. But I am getting the following error like 'XLRDError: No sheet named <'Sheet1'>'. I have verified the sheet name and it is same as specified above, but I don't how to correct this error. Please find my code below.
CODE:
def xls_2_csv():
import pandas as pd
data_xls = pd.read_excel(r'c:\delivery\file1.xls','Sheet1', index_col=None)
data_xls.to_csv(r'C:\test\file1.csv', encoding='utf-8',index=None)
xls_2_csv()
Please help me in solving this error. Thanks in advance.

Answer 1

I found the same problem in python 3.6 and pandas version is 0.25.1.
The following should work:
import pandas as pd
file = 'your excel file path'
# the file is endswith '.xls' and there is multiple sheets
# error method
df_sheet1 = pd.read_excel(file, sheet_name='Sheet1')
df_sheet2 = pd.read_excel(file, sheet_name='Sheet2')
# when read Sheet1 had no error, but when read Sheet2, had an error:
# xlrd.biffh.XLRDError: No sheet named <'Sheet2'>
# right method
with pd.ExcelFile(file) as xls:
for sheet_name in xls.sheet_names:
df = pd.read_excel(xls, sheet_name=sheet_name)
print(df.head())

Answer 2

Hi I tried the following code it worked for me.
CODE:
import logging
import time
import traceback
import xlrd
import csv
import sys
import re
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(message)s')
xls = input file path
target = output file path
logging.info("Start converting: From '" + xls + "' to '" + target + "'. ")
try:
start_time = time.time()
wb = xlrd.open_workbook(xls)
sh = wb.sheet_by_index(0)
csvFile = open(target, 'wb')
wr = csv.writer(csvFile, quoting=csv.QUOTE_ALL)
for row in xrange(sh.nrows):
rowValues = sh.row_values(row)
newValues = []
for s in rowValues:
if isinstance(s, unicode):
strValue = (str(s.encode("utf-8")))
else:
strValue = (str(s))
isInt = bool(re.match("^([0-9]+)\.0$", strValue))
if isInt:
strValue = int(float(strValue))
else:
isFloat = bool(re.match("^([0-9]+)\.([0-9]+)$", strValue))
isLong = bool(re.match("^([0-9]+)\.([0-9]+)e\+([0-9]+)$", strValue))
if isFloat:
strValue = float(strValue)
if isLong:
strValue = int(float(strValue))
newValues.append(strValue)
wr.writerow(newValues)
csvFile.close()
logging.info("Finished in %s seconds", time.time() - start_time)
except Exception as e:
print (str(e) + " " + traceback.format_exc())