How to append rows in a pandas DataFrame using a for loop?

Append rows using a for loop:

import pandas as pd

cols = ['Zip']
lst = []
zip = 32100

for a in range(10):
    lst.append([zip])
    zip = zip + 1

df = pd.DataFrame(lst, columns=cols)

print(df)

C:\pandas>python example24.py
     Zip
0  32100
1  32101
2  32102
3  32103
4  32104
5  32105
6  32106
7  32107
8  32108
9  32109
 
C:\pandas>

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Create and Print DataFrame

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Rename DataFrame Columns

select rows from a DataFrame using operator

Filter DataFrame rows using isin

Example of iterrows and itertuples

Drop DataFrame Column(s) by Name or Index

Add new column to DataFrame

Get list of the column headers

Generate DataFrame with random values

Select multiple columns from DataFrame

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loc vs iloc slicing in DataFrame

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Appending two DataFrame objects

Add row with specific index name

Add row at end

Append rows using a for loop

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Adding rows with different column names

Example of append, concat and combine_first

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Find row where values for column is maximum

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Check if one or more columns all exist

Locating the n-smallest and n-largest values

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Forward and backward filling of missing values

Calculating correlation between two DataFrame

Calculating Co-variance

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Python Programming

How to append rows in a pandas DataFrame using a for loop?

Append rows using a for loop: