'XlsxWriter' object has no attribute 'save'. Did you mean: '_save'?

[ForumBot]

I'm trying to save data from a DataFrame to an Excel file using pandas. I tried the following code:
`import pandas as pd
import xlsxwriter
data = {'Name': ['John', 'Jane', 'Adam'], 'Age': [25, 30, 35], 'Gender': ['M', 'F', 'M']}
df = pd.DataFrame(data)

writer = pd.ExcelWriter('output.xlsx', engine='xlsxwriter')
df.to_excel(writer, sheet_name='Sheet1')

workbook = writer.book
worksheet = writer.sheets['Sheet1']

# Example: Adding a chart
chart = workbook.add_chart({'type': 'line'})
chart.add_series({'values': '=Sheet1.$B$2:$B$4'})
worksheet.insert_chart('D2', chart)
writer.save()

```

But I get the following error:
`writer.save()
^^^^^^^^^^^
AttributeError: 'XlsxWriter' object has no attribute 'save'. Did you mean: '_save'?

```

Does anyone know how to solve it?

[ForumBot]

The `save()` method has been deprecated and removed in Pandas. You should use `close()` instead.

With older versions of Pandas you would have gotten this warning:

>

FutureWarning: save is not part of the public API, usage can give unexpected results and will be removed in a future version

With more recent versions you just need to use `close()` like this (I also fixed the syntax for the chart values):
`import pandas as pd
import xlsxwriter

data = {
"Name": ["John", "Jane", "Adam"],
"Age": [25, 30, 35],
"Gender": ["M", "F", "M"],
}
df = pd.DataFrame(data)

writer = pd.ExcelWriter("output.xlsx", engine="xlsxwriter")
df.to_excel(writer, sheet_name="Sheet1")

workbook = writer.book
worksheet = writer.sheets["Sheet1"]

# Example: Adding a chart
chart = workbook.add_chart({"type": "line"})
chart.add_series({"values": "=Sheet1!$C$2:$C$4"})
worksheet.insert_chart("E2", chart)

writer.close()

```

Output: