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# Splitting DataFrame into multiple DataFrames based on value in Pandas

*schedule*Aug 11, 2023

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Tags Python●Pandas

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Consider the following DataFrame:

```
df = pd.DataFrame({"A":["a","a","b"],"B":[6,7,8]})df
A B0 a 61 a 72 b 8
```

# Solution

To split a DataFrame into dictionary containing multiple DataFrames based on values in column `A`

:

```
dict_dfs = dict(tuple(df.groupby("A")))dict_dfs
{'a': A B 0 a 6 1 a 7, 'b': A B 2 b 8}
```

Note the following:

the key of the dictionary is the value of the group, while the value is the corresponding DataFrame.

if you just wanted a tuple representation instead, then simply leave out the

`dict(~)`

# Explanation

Here, we first partition the DataFrame into groups split by values in column `A`

using `groupby("A")`

. We then create a tuple (of size two) containing the two groups:

```
tuple(df.groupby("A"))
(('a', A B 0 a 6 1 a 7), ('b', A B 2 b 8))
```

We then call `dict(~)`

to convert this tuple into a dictionary.

Published by Isshin Inada

Edited by 0 others

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