Answers for "dataframe to series"

dataframe from two series

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

pandas from series to dataframe

#To convert a series to a dataframe simply apply the to_frame() method
#to the series
s.to_frame()

pandas.core.series.series to dataframe

>>> s = pd.Series(["a", "b", "c"],
...               name="vals")
>>> s.to_frame()
  vals
0    a
1    b
2    c

series.Series to dataframe

df = pd.DataFrame([s])
print (df)
         product_id_y  count
6159402       1159730      1

pd df to series

import pandas as pd

data = {'First_Name': ['Jeff','Tina','Ben','Maria','Rob']}
df = pd.DataFrame(data, columns = ['First_Name'])

print(df)
#	First_Name
#0       Jeff
#1       Tina
#2        Ben
#3      Maria
#4        Rob

print(type(df))
# <class 'pandas.core.frame.DataFrame'>

df = df.squeeze() # <- Converts to a pandas series
print(df)
#0     Jeff
#1     Tina
#2      Ben
#3    Maria
#4      Rob
#Name: First_Name, dtype: object

print(type(df))
# <class 'pandas.core.series.Series'>

series to dataframe

pd.DataFrame({'email':sf.index, 'list':sf.values})