I have a Pandas series sf:
email <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="01646c60686d3041646c60686d2f626e6c">[email protected]</a> [1.0, 0.0, 0.0] <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="d2b7bfb3bbbee092b7bfb3bbbefcb1bdbf">[email protected]</a> [2.0, 0.0, 0.0] <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="4f2a222e26237c0f2a222e2623612c2022">[email protected]</a> [1.0, 0.0, 0.0] <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="91f4fcf0f8fda5d1f4fcf0f8fdbff2fefc">[email protected]</a> [4.0, 0.0, 0.0] <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="71141c10181d4431141c10181d5f121e1c">[email protected]</a> [1.0, 0.0, 3.0] <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="6f0a020e0603592f0a020e0603410c0002">[email protected]</a> [1.0, 5.0, 0.0]
And I would like to transform it to the following DataFrame:
index | email | list _____________________________________________ 0 | <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="ed88808c8481dcad88808c8481c38e8280">[email protected]</a> | [1.0, 0.0, 0.0] 1 | <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="4f2a222e26237d0f2a222e2623612c2022">[email protected]</a> | [2.0, 0.0, 0.0] 2 | <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="67020a060e0b5427020a060e0b4904080a">[email protected]</a> | [1.0, 0.0, 0.0] 3 | <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="a3c6cec2cacf97e3c6cec2cacf8dc0ccce">[email protected]</a> | [4.0, 0.0, 0.0] 4 | <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="62070f030b0e5722070f030b0e4c010d0f">[email protected]</a> | [1.0, 0.0, 3.0] 5 | <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="16737b777f7a2056737b777f7a3875797b">[email protected]</a> | [1.0, 5.0, 0.0]
I found a way to do it, but I doubt it’s the more efficient one:
df1 = pd.DataFrame(data=sf.index, columns=['email']) df2 = pd.DataFrame(data=sf.values, columns=['list']) df = pd.merge(df1, df2, left_index=True, right_index=True)
Answers:
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Method 1
Rather than create 2 temporary dfs you can just pass these as params within a dict using the DataFrame constructor:
pd.DataFrame({'email':sf.index, 'list':sf.values})
There are lots of ways to construct a df, see the docs
Method 2
to_frame():
Starting with the following Series, df:
email <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="fb9e969a9297cabb9e969a9297d5989496">[email protected]</a> A <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="98fdf5f9f1f4aad8fdf5f9f1f4b6fbf7f5">[email protected]</a> B <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="c9aca4a8a0a5fa89aca4a8a0a5e7aaa6a4">[email protected]</a> C dtype: int64
I use to_frame to convert the series to DataFrame:
df = df.to_frame().reset_index()
email 0
0 <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="90f5fdf1f9fca1d0f5fdf1f9fcbef3fffd">[email protected]</a> A
1 <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="adc8c0ccc4c19fedc8c0ccc4c183cec2c0">[email protected]</a> B
2 <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="056068646c6936456068646c692b666a68">[email protected]</a> C
3 <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="21444c40484d1561444c40484d0f424e4c">[email protected]</a> D
Now all you need is to rename the column name and name the index column:
df = df.rename(columns= {0: 'list'})
df.index.name = 'index'
Your DataFrame is ready for further analysis.
Update: I just came across this link where the answers are surprisingly similar to mine here.
Method 3
One line answer would be
myseries.to_frame(name='my_column_name')
Or
myseries.reset_index(drop=True, inplace=True) # As needed
Method 4
Series.reset_index with name argument
Often the use case comes up where a Series needs to be promoted to a DataFrame. But if the Series has no name, then reset_index will result in something like,
s = pd.Series([1, 2, 3], index=['a', 'b', 'c']).rename_axis('A')
s
A
a 1
b 2
c 3
dtype: int64
s.reset_index() A 0 0 a 1 1 b 2 2 c 3
Where you see the column name is “0”. We can fix this be specifying a name parameter.
s.reset_index(name='B') A B 0 a 1 1 b 2 2 c 3
s.reset_index(name='list') A list 0 a 1 1 b 2 2 c 3
Series.to_frame
If you want to create a DataFrame without promoting the index to a column, use Series.to_frame, as suggested in this answer. This also supports a name parameter.
s.to_frame(name='B') B A a 1 b 2 c 3
pd.DataFrame Constructor
You can also do the same thing as Series.to_frame by specifying a columns param:
pd.DataFrame(s, columns=['B']) B A a 1 b 2 c 3
Method 5
Super simple way is also
df = pd.DataFrame(series)
It will return a DF of 1 column (series values) + 1 index (0….n)
Method 6
Series.to_frame can be used to convert a Series to DataFrame.
# The provided name (columnName) will substitute the series name
df = series.to_frame('columnName')
For example,
s = pd.Series(["a", "b", "c"], name="vals")
df = s.to_frame('newCol')
print(df)
newCol
0 a
1 b
2 c
Method 7
probably graded as a non-pythonic way to do this but this’ll give the result you want in a line:
new_df = pd.DataFrame(zip(email,list))
Result:
email list 0 <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="741119151d1845341119151d185a171b19">[email protected]</a> [1.0, 0.0, 0.0] 1 <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="b9dcd4d8d0d58bf9dcd4d8d0d597dad6d4">[email protected]</a> [2.0, 0.0, 0.0] 2 <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="20454d41494c1360454d41494c0e434f4d">[email protected]</a> [1.0, 0.0, 0.0] 3 <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="e2878f838b8ed6a2878f838b8ecc818d8f">[email protected]</a> [4.0, 0.0, 3.0] 4 <a href="https://getridbug.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="61040c00080d5421040c00080d4f020e0c">[email protected]</a> [1.0, 5.0, 0.0]
All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0