How to Append Multiple Pandas DataFrames Simultaneously?

Mary-Kate Olsen
Release: 2024-11-04 20:13:02
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How to Append Multiple Pandas DataFrames Simultaneously?

Appending Multiple Pandas Data Frames Simultaneously

You want to avoid appending pandas data frames one by one using the df.append(df) method. Consider data frames t1, t2, t3, t4, and t5. To append them collectively, you seek an equivalent to df = rbind(t1,t2,t3,t4,t5) in R.

Solution

To append multiple data frames at once, you can utilize the concat function:

<code class="python">import pandas as pd

df = pd.concat([t1, t2, t3, t4, t5])</code>
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Ignoring Index

Additionally, you may wish to ignore the index during concatenation:

<code class="python">df = pd.concat([t1, t2, t3, t4, t5], ignore_index=True)</code>
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Refer to the documentation for more information on the concat function.

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