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pandas concat series into dataframe

In [1]: s1 = pd.Series([1, 2], index=['A', 'B'], name='s1')

In [2]: s2 = pd.Series([3, 4], index=['A', 'B'], name='s2')

In [3]: pd.concat([s1, s2], axis=1)
Out[3]:
   s1  s2
A   1   3
B   2   4

In [4]: pd.concat([s1, s2], axis=1).reset_index()
Out[4]:
  index  s1  s2
0     A   1   3
1     B   2   4
Comment

concatenate dataframes

# Stack the DataFrames on top of each other
#survey_sub and survey_sub_last10 are both dataframes
vertical_stack = pd.concat([survey_sub, survey_sub_last10], axis=0)

# Place the DataFrames side by side
horizontal_stack = pd.concat([survey_sub, survey_sub_last10], axis=1)
Comment

concat dataframes

result = pd.concat([df1, df2])
Comment

How to Concatenate Dataframe in python

# Stack the DataFrames on top of each other
vertical_stack = pd.concat([survey_sub, survey_sub_last10], axis=0)

# Place the DataFrames side by side
horizontal_stack = pd.concat([survey_sub, survey_sub_last10], axis=1)
Comment

concat dataframe pandas

# provide list of dataframes 
res = pd.concat([df1, df2])
Comment

concat Series to DF as rows

pd.concat([s1, s2], axis=1).T
Comment

concat series to dataframe

>>> pd.concat([students, pd.DataFrame(marks)], axis=1)
        0     0
0    Alex  0.80
1  Lauren  0.75
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