Note that the previous read_excel() method returns a dataframe or a dictionary of dataframes whereas pd.ExcelFile() returns a reference object to the Excel file. We do not need to specify which sheets to read when using this method. With this approach, we create a pd.ExcelFile object to represent the Excel file. Unnamed: 0 Unnamed: 1 Unnamed: 2 Unnamed: 3Ħ 103 Harry Porter Kill la Kill 00:00:00ĩ 106 Harry Porter Ghost in the Shell 00:00:00ġ0 107 Jean Grey Evangelion 00:00:00 pd.ExcelFile() For example, df returns the sheet in which data starts from row 5. To obtain data from a specific sheet, simply reference the key in the dictionary. > df.keys()ĭict_keys()ĭict_values([ User Name Country City Gender Age The keys of the dictionary contain sheet names, and values of the dictionary contain sheet content. The df returns a dictionary of dataframes. We will read all sheets from the sample Excel file, then use that dataframe for the examples going forward. import pandas as pdĭf = pd.read_excel('users.xlsx', sheet_name = )ĭf = pd.read_excel('users.xlsx', sheet_name = None) # read all sheets This method requires you to know the sheet names in advance. Select sheets to read by name: sheet_name =.Select sheets to read by index: sheet_name = means the first three sheets.
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