how do I import excel data into a dataframe in python.
Basically the current excel workbook runs some vba on opening which refreshes a pivot table and does some other stuff.
Then I wish to import the results of the pivot table refresh into a dataframe in python for further analysis.
import xlrd
wb = xlrd.open_workbook('C:UserscbMachine_LearningcMap_Joins.xlsm')
#sheetnames
print wb.sheet_names()
#number of sheets
print wb.nsheets
The refreshing and opening of the file works fine. But how do i select the data from the first sheet from say row 5 including header down to last record n.
Answers:
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Method 1
You can use pandas’ ExcelFile parse method to read Excel sheets, see io docs:
xls = pd.ExcelFile('C:UserscbMachine_LearningcMap_Joins.xlsm')
df = xls.parse('Sheet1', skiprows=4, index_col=None, na_values=['NA'])
skiprows will ignore the first 4 rows (i.e. start at row index 4), and several other options.
Method 2
The accepted answer is old (as discussed in comments of the accepted answer).
Now the preferred option is using pd.read_excel(). For example:
df = pandas.read_excel('C:UserscbMachine_LearningcMap_Joins.xlsm'), skiprows=[0,1,2,3,4])
All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0