I think you can use concat:
print pd.concat([t1, t2, t3, t4, t5])
Maybe you can ignore_index:
print pd.concat([t1, t2, t3, t4, t5], ignore_index=True)
More info in docs.
Answer from jezrael on Stack Overflow Top answer 1 of 4
129
I think you can use concat:
print pd.concat([t1, t2, t3, t4, t5])
Maybe you can ignore_index:
print pd.concat([t1, t2, t3, t4, t5], ignore_index=True)
More info in docs.
2 of 4
91
Have you simply tried using a list as argument of append? Or am I missing anything?
import numpy as np
import pandas as pd
dates = np.asarray(pd.date_range('1/1/2000', periods=8))
df1 = pd.DataFrame(np.random.randn(8, 4), index=dates, columns=['A', 'B', 'C', 'D'])
df2 = df1.copy()
df3 = df1.copy()
df = df1.append([df2, df3])
print df
Pandas
pandas.pydata.org › docs › user_guide › merging.html
Merge, join, concatenate and compare — pandas 3.0.2 documentation
If you have a Series that you want to append as a single row to a DataFrame, you can convert the row into a DataFrame and use concat().
python 3.x - Append more than 2 data frames in pandas - Stack Overflow
I have about 25 data frames with identical column headers that I need to append to one another. I've tried this in the past using 24 .append() calls but it didn't work. Is there a simple way to do ... More on stackoverflow.com
python - How do I combine two dataframes? - Stack Overflow
And if you want to join multiple DataFrames, Series, or a mixture of them, by their index, just put them in a list, e.g.,: ... See the pandas docs for DataFrame.join(). ... Both the dataframe should have same column name else instead of appending records by row wise, it will append as separate ... More on stackoverflow.com
Don't append rows to a pandas DataFrame
Didn't even know append existed. Horrible name btw. it doesn't append, it creates a new dataframe. More on reddit.com
25
90
August 29, 2022Merging multiple (5+) dataframes in Pandas on various fields
You could specify the suffixes at each step: dfa = pd.DataFrame(dict(a=[1, 2], b=[3, 4], c=[5, 6])) dfb = pd.DataFrame(dict(a=[1, 2], b=[3, 4], c=[6, 7], d=[7, 8])) dfc = pd.DataFrame(dict(a=[1, 2], b=[3, 4], d=[8, 9], e=[9, 10])) dfd = pd.DataFrame(dict(a=[1, 2], b=[3, 4], e=[10, 11], f=[11, 12])) (dfa.merge(dfb, on=['a', 'b'], how='outer') .merge(dfc, on=['a', 'b'], how='outer', suffixes=['_x0', '_y0']) .merge(dfd, on=['a', 'b'], how='outer', suffixes=['_x1', '_y1']) ) # a b c_x c_y d_x0 d_y0 e_x1 e_y1 f # 0 1 3 5 6 7 8 9 10 11 # 1 2 4 6 7 8 9 10 11 12 But it would depend on the exact output you're trying to achieve. More on reddit.com
3
1
January 24, 2024Videos
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Statology
statology.org › home › how to append multiple pandas dataframes (with example)
How to Append Multiple Pandas DataFrames (With Example)
June 1, 2022 - This particular syntax will append df1, df2, and df3 into a single pandas DataFrame called df_big. The following example shows how to use this syntax in practice. The following code shows how to append multiple pandas DataFrames at once:
Spark By {Examples}
sparkbyexamples.com › home › pandas › pandas append() usage by examples
Pandas append() Usage by Examples - Spark By {Examples}
June 17, 2025 - pandas.DataFrame.append() method is used to append one DataFrame row(s) and column(s) with another, it can also be used to append multiple (three or more)
GeeksforGeeks
geeksforgeeks.org › pandas › how-to-concatenate-two-or-more-pandas-dataframes
How To Concatenate Two or More Pandas DataFrames? - GeeksforGeeks
July 23, 2025 - In real-world data the information is often spread across multiple tables or files. To analyze it properly we need to bring all that data together. This is where the pd.concat() function in Pandas comes as it allows you to combine two or more ...
TutorialsPoint
tutorialspoint.com › how-to-append-two-dataframes-in-pandas
How to append two DataFrames in Pandas?
August 22, 2023 - Note: The append() method is deprecated since Pandas 1.4.0. Use pd.concat() instead for new code. ... import pandas as pd df1 = pd.DataFrame({"x": [5, 2], "y": [4, 7], "z": [9, 3]}) df2 = pd.DataFrame({"x": [1, 3], "y": [1, 9], "z": [29, 30]}) print("Input DataFrame 1 is:") print(df1) print("\nInput DataFrame 2 is:") print(df2) df3 = df1.append(df2, ignore_index=True) print("\nAfter appending, DataFrame is:") print(df3)
Analytics Vidhya
analyticsvidhya.com › home › how to concatenate two or more pandas dataframes?
Concatenate Two or More Pandas DataFrames | Analytics Vidhya
September 6, 2024 - Let’s say we have two DataFrames, df1 and df2, with the same columns, and we want to concatenate them vertically. We can use the `concat` function from the pandas library to achieve this:
Saturn Cloud
saturncloud.io › blog › how-to-append-two-data-frames-with-pandas
How to Append Two Data Frames with Pandas | Saturn Cloud Blog
November 10, 2023 - Output: ... In conclusion, appending ... data from different sources. The concat() and append() function are powerfuls tool that allow you to append data frames along the rows or columns....
Python Data Science Handbook
jakevdp.github.io › PythonDataScienceHandbook › 03.06-concat-and-append.html
Combining Datasets: Concat and Append | Python Data Science Handbook
Here we'll take a look at simple concatenation of Series and DataFrames with the pd.concat function; later we'll dive into more sophisticated in-memory merges and joins implemented in Pandas. ... For convenience, we'll define this function which creates a DataFrame of a particular form that ...
Statistics Globe
statisticsglobe.com › home › python programming language for statistics & data science › append pandas dataframe in python (4 examples) | concatenate & combine
Append pandas DataFrame in Python | Concatenate Combine Union Stack
May 2, 2022 - Example 1 demonstrates how to merge two pandas DataFrames vertically using the append function.
Spark By {Examples}
sparkbyexamples.com › home › pandas › how to append two pandas dataframes
How to Append Two Pandas DataFrames - Spark By {Examples}
June 4, 2025 - To append two Pandas DataFrames, you can use the append() function. There are multiple ways to append two pandas DataFrames, In this article, I will
GeeksforGeeks
geeksforgeeks.org › python › how-to-stack-multiple-pandas-dataframes
How to Stack Multiple Pandas DataFrames? - GeeksforGeeks
July 11, 2025 - It efficiently combines all row records from multiple DataFrames before creating the final one. ... from itertools import chain import pandas as pd a = pd.DataFrame({'name': ['Chris', 'Bale'], 'subject': ['Math', 'Science']}) b = pd.DataFrame({'name': ['Magnus', 'Carlsan'], 'subject': ['English', 'History']}) dfs = [a, b] all_records = chain.from_iterable(df.to_dict('records') for df in dfs) res = pd.DataFrame(all_records) print(res)
GeeksforGeeks
geeksforgeeks.org › pandas › python-pandas-dataframe-append
Python - Pandas dataframe.append() - GeeksforGeeks
1 month ago - Example: This example appends one DataFrame to another. ... import pandas as pd a = pd.DataFrame({"a":[1,2], "b":[3,4]}) b = pd.DataFrame({"a":[5,6], "b":[7,8]}) res = a.append(b) print(res)
Data Carpentry
datacarpentry.github.io › python-ecology-lesson › 05-merging-data
Data Analysis and Visualization in Python for Ecologists: Combining DataFrames with Pandas
February 21, 2024 - # Read in first 10 lines of surveys ... old index values · When we concatenate DataFrames, we need to specify the axis. axis=0 tells pandas to stack the second DataFrame UNDER the first one....
Codepointtech
codepointtech.com › home › how to append multiple pandas dataframes efficiently
How to Append Multiple Pandas DataFrames Efficiently - codepointtech.com
January 17, 2026 - Learn how to append pandas DataFrames efficiently using pd.concat(). Master data consolidation and merging techniques for faster, cleaner Python workflows.
Statology
statology.org › home › how to append two pandas dataframes (with examples)
How to Append Two Pandas DataFrames (With Examples)
August 5, 2021 - This tutorial explains how to append two pandas DataFrames together into one DataFrame, including examples.
Pandas
pandas.pydata.org › docs › reference › api › pandas.concat.html
pandas.concat — pandas 3.0.2 documentation - PyData |
Deprecated since version 3.0.0: This keyword is ignored and will be removed in pandas 4.0. Since pandas 3.0, this method always returns a new object using a lazy copy mechanism that defers copies until necessary (Copy-on-Write). See the user guide on Copy-on-Write for more details. ... When concatenating all Series along the index (axis=0), a Series is returned. When objs contains at least one DataFrame, a DataFrame is returned.
Swdevnotes
swdevnotes.com › python › 2020 › pandas-concat-dataframes
Pandas - Joining DataFrames with Concat and Append | Software Development Notes
October 4, 2020 - DataFrame - append multiple dataframes with ignore_index DataFrame - append multiple dataframes with ignore_index · Joining dataframes is easily achieved with pandas.concat function.
Top answer 1 of 9
265
Updated in 2025
df_merged = pandas.concat([df1, df2], ignore_index=True, sort=False)
**
OLD ANSWER**
DEPRECATED:
DataFrame.appendandSeries.appendwere deprecated in v1.4.0.
Use append:
df_merged = df1.append(df2, ignore_index=True)
And to keep their indexes, set ignore_index=False.
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256
Use pd.concat to join multiple dataframes:
df_merged = pd.concat([df1, df2], ignore_index=True, sort=False)