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 4pandas 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 cseries.Series to dataframe
df = pd.DataFrame([s])
print (df)
product_id_y count
6159402 1159730 1pd 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})Copyright © 2021 Codeinu
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