pandas.core.series.series to dataframe
>>> s = pd.Series(["a", "b", "c"],
... name="vals")
>>> s.to_frame()
vals
0 a
1 b
2 cpandas.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
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
