export pandas dataframe as excel
df.to_excel(r'C:UsersRonDesktopFile_Name.xlsx', index = False)
#if you omit the file path (must also omit 'r') and
#enter only file_name.xlsx, it will save to your default file location,
# that is, where the file you're reading from is located.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)import excel file in python pandas
import pandas as pd
df = pd.read_excel (r'Path where the Excel file is storedFile name.xlsx')Pandas read excel
import pandas as pd
data = pd.read_excel (r'C:UsersRonDesktopProduct List.xlsx')
df = pd.DataFrame(data, columns= ['Product'])
print (df)pandas excel python
import pandas as pd
# reading in from external file
movies = pd.read_excel('movies.xls')
# prints first five rows
movies.head(n=5)
# prints last five rows
movies.tail(n=5)
# for excel files w/ multiple sheets
movies_sheet1 = pd.read_excel(excel_file, sheetname=0)
movies_sheet2 = pd.read_excel(excel_file, sheetname=1)
movies_sheet2 = pd.read_excel(excel_file, sheetname='name of third sheet')
# sort by column
sorted_by_gross = movies.sort_values(['Gross Earnings'], ascending=False)
# exporting to file
movies.to_excel('output.xlsx')Copyright © 2021 Codeinu
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