pandas read excel
import pandas as pd
pd.read_excel('tmp.xlsx’, sheet_name='Sheet1')
pandas read excel
import pandas as pd
pd.read_excel('tmp.xlsx’, sheet_name='Sheet1')
pandas read excel
import pandas as pd
pd.read_excel('tmp.xlsx', index_col=0)
xlrd select sheet by name
from __future__ import print_function
from os.path import join, dirname, abspath
import xlrd
fname = join(dirname(dirname(abspath(__file__))), 'test_data', 'Cad Data Mar 2014.xlsx')
# Open the workbook
xl_workbook = xlrd.open_workbook(fname)
# List sheet names, and pull a sheet by name
#
sheet_names = xl_workbook.sheet_names()
print('Sheet Names', sheet_names)
xl_sheet = xl_workbook.sheet_by_name(sheet_names[0])
# Or grab the first sheet by index
# (sheets are zero-indexed)
#
xl_sheet = xl_workbook.sheet_by_index(0)
print ('Sheet name: %s' % xl_sheet.name)
# Pull the first row by index
# (rows/columns are also zero-indexed)
#
row = xl_sheet.row(0) # 1st row
# Print 1st row values and types
#
from xlrd.sheet import ctype_text
print('(Column #) type:value')
for idx, cell_obj in enumerate(row):
cell_type_str = ctype_text.get(cell_obj.ctype, 'unknown type')
print('(%s) %s %s' % (idx, cell_type_str, cell_obj.value))
# Print all values, iterating through rows and columns
#
num_cols = xl_sheet.ncols # Number of columns
for row_idx in range(0, xl_sheet.nrows): # Iterate through rows
print ('-'*40)
print ('Row: %s' % row_idx) # Print row number
for col_idx in range(0, num_cols): # Iterate through columns
cell_obj = xl_sheet.cell(row_idx, col_idx) # Get cell object by row, col
print ('Column: [%s] cell_obj: [%s]' % (col_idx, cell_obj))
Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us