python how to read a xlsx file
import pandas as pd
df = pd.read_excel (r'Path where the Excel file is storedFile name.xlsx')
print (df)
python how to read a xlsx file
import pandas as pd
df = pd.read_excel (r'Path where the Excel file is storedFile name.xlsx')
print (df)
pandas read excel
import pandas as pd
pd.read_excel('tmp.xlsx’, sheet_name='Sheet1')
python read xls
# credit to Stack Overflow user in the source link
import pandas as pd
# use r before absolute file path
xls = pd.ExcelFile(r"yourfilename.xls")
# 2 is the sheet number+1 thus
# if the file has only 1 sheet write 0 in paranthesis
sheetX = xls.parse(2)
var1 = sheetX['ColumnName']
# 1 is the row number
print(var1[1])
pandas read excel
import pandas as pd
pd.read_excel('tmp.xlsx', index_col=0)
read excel file spyder
import pandas as pd
df = pd.read_excel (r'C:UsersRonDesktopProduct List.xlsx') #place "r" before the path string to address special character, such as ''. Don't forget to put the file name at the end of the path + '.xlsx'
print (df)
pandas read from excel
import pandas as pd
pandas.read_excel(io, sheet_name=0, header=0, names=None,
index_col=None, usecols=None,
squeeze=False, dtype=None, engine=None,
converters=None, true_values=None,
false_values=None, skiprows=None,
nrows=None, na_values=None,
keep_default_na=True, verbose=False,
parse_dates=False, date_parser=None,
thousands=None, comment=None,
skipfooter=0, convert_float=True,
mangle_dupe_cols=True, **kwds)
# Example
pd.read_excel('tmp.xlsx', index_col=0)
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