I have write the dataframe below to an excel file
df = {'name': ['a', 'b', 'b', 'b', 'c', 'd', 'd', 'e'],
'type': ['tiger', 'caterpillar', 'butterfly', 'butterfly', 'dolphin', 'tadpole', 'frog', 'dog'],
'month1_weight': ['33', '0', '0', '0', '59', '3', '0', '0'],
'month2_weight': ['0', '0', '20', '20', '65', '0', '10', '2'],
}
dataframe = pd.DataFrame(df)
name type month1_weight month2_weight
a tiger 33 0
b caterpillar 0 0
b butterfly 0 20
b butterfly 0 20
c dolphin 59 65
d tadpole 3 0
d frog 0 10
e dog 0 2
How can I merge the cells in the name column in Excel and make it be like this:
First add the multilevel index to your dataframe using set_index(["name", "type"])
then using the pandas.ExcelWriter
object you can write the required dataframe to the excel sheet. Use:
from pandas import ExcelWriter
dataframe = pd.DataFrame(df).set_index(["name", "type"])
with ExcelWriter("excel_file.xlsx") as writer:
dataframe.to_excel(writer)
After executing the above code the contents of your excel_file
should look like:
EDIT (See comments):
Replace:
for col_num, value in enumerate(dataframe.columns.values):
worksheet_O.write(0, col_num + 1, value, header_format)
with:
for col_num, value in enumerate(dataframe.reset_index().columns):
worksheet_O.write(0, col_num, value, header_format)
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