I have the following df, where there are new line characters \n in column Data, as shown below.
import pandas as pd
import xlsxwriter
df = pd.DataFrame({'ID': ['111', '222', '222'],
'Data': ['Population\nDensity','Population\nDensity','Population\nDensity\nArea']})
print(df)
ID Data
0 111 Population\nDensity
1 222 Population\nDensity
2 222 Population\nDensity\nArea
While exporting this df to Excel, I want line breaks at \n. It should look like:

I sought some help from here, using xlsxwriter but didn't work out.
If you use xlsxwriter as the Excel writing engine you can add a text wrap format to the column like this:
import pandas as pd
df = pd.DataFrame({'ID': ['111', '222', '222'],
'Data': ['Population\nDensity',
'Population\nDensity',
'Population\nDensity\nArea']})
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_test.xlsx', engine='xlsxwriter')
# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1', index=False)
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
# Add a text wrap format.
text_wrap_format = workbook.add_format({'text_wrap': True})
# Add the format to column 2 (zero-indexed) and adjust the width.
worksheet.set_column(1, 1, 15, text_wrap_format)
# Close the Pandas Excel writer and output the Excel file.
writer.close()
Output:

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