at each stage of the dataframe in the for loop, create a pandas series of the table row information. print each series. in python

Here's an example of how to iterate through a pandas dataframe, create a series of each row's information, and print each series:

main.py
import pandas as pd

# create example dataframe
df = pd.DataFrame({'name': ['Alice', 'Bob', 'Charlie'], 'age': [25, 30, 35]})

# iterate through dataframe
for index, row in df.iterrows():
    # create series and print
    values_series = pd.Series(row.values, index=df.columns)
    print(values_series)
303 chars
11 lines

In this example, we first create a dataframe with two columns ('name' and 'age') and three rows. We then iterate through the dataframe using the iterrows() method. For each row, we create a series by passing the row's values and the dataframe's column names as parameters to the pd.Series() function. We then print the resulting series using print(values_series).

The output of this code would be:

main.py
name       Alice
age           25
dtype: object
name         Bob
age           30
dtype: object
name      Charlie
age            35
dtype: object
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10 lines

Each line corresponds to a series created for each row in the dataframe.