擅长:python、mysql、java
<pre><code># creating a new dataframe with name and ltp values
# however, since the requirement is to have these within individual
# columns and not rows, using transpose (T) to address it
df1 = pd.DataFrame([name,ltp]).T
# explicitly adding column names to the temp dataframe and the same will repeat
# everytime a new temp dataframe is formed. This will ensure that the new values
# get appended to the correct columns in the aggregated version
df1.columns = ['name', 'ltp']
# append the temp dataframe to the aggregated version to be published as final
df=df.append(df1,ignore_index=True)
</code></pre>