Create csv file with metadata header followed by timeseries in Python / Pandas

Question

I am trying to create a csv file that contains metadata in the first few rows, followed by timeseries data, so it can be processed by another web application. My csv file should look like this:

Code: ABC1

Frequency: Monthly

Description: Blah Blah

-------------------

2/1/1947    11.7

3/1/1947    11.9

I can create a csv file of the metadata:

metadata=pd.Series([('code: ABC123'),('freqency: monthly'),('description: describecode'),('--------')])

metadata.to_csv("metadata.csv",index=False)

I can create a csv of the timeseries

a=pd.Series((11.7,11.9),index=pd.date_range('1947-01-02','1947-01-03'))

a.to_csv("data.csv")

But I can't work out how to merge them together into the format at the top.

Answer 1

>>> with open('test.csv', 'w') as fout:
...      fout.write('meta data\n:')
...      meta_data.to_csv(fout)
...      ts.to_csv(fout)