jarthoben :
I have scraped some html data and read into pandas with beautiful soup.
Unfortunately, due to the structure of the html, the pandas column headers are a nested list of list, which I don't want.
Here is what I have:
headers = list(df.columns.values)
print(headers)
[('Year:', 'Length:'), ('2019', '12 Months'), ('2018', '12 Months'), ('2017', '12 Months'), ('2016', '12 Months')]
I only want the first list to be the column headers:
['Year:', '2019', '2018', '2017', '2016']
In the following loop code I can isolate the first list that I want:
for sublist in headers:
print(sublist[0])
Year:
2019
2018
2017
2016
But how do I assign the output of this loop to become my new pandas column headers?
Many thanks!
YOBEN_S :
We have droplevel
df=df.droplevel(axis=1,level=1)
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