#   
#  Overview

The `transpose` method is used to transpose the pandas dataframe. This method reflects the dataframe over its main diagonal by inter-changing rows as columns and vice-versa.

The attribute `T` on the dataframe object is an accessor to the `transpose` method. 

> **Note:** Refer to [What is pandas in Python](https://www.educative.io/answers/what-is-pandas-in-python) to learn more about pandas.

## 
## Syntax


```python
Dataframe.transpose(*args, copy=False)
```

## Parameter

The `copy` parameter indicates whether to copy the data after transposing. If `True`, the data is copied. Otherwise, it isn't. The default value is `False`.
 

## Code example

import pandas as pd

data = {'col1': [1, 2], 'col2': [3, 4]}

df = pd.DataFrame(data)

df_transpose = df.transpose()

df_transpose_attr = df.T

print("Dataframe:")
print(df)

print("Transpose using transpose() method:")
print(df_transpose)

print("Transpose using 'T'")
print(df_transpose_attr)

# 
## Explanation
Here is a line-by-line explanation of the above code:

- Line 1: The `pandas` module is imported.
- Lines 3–5: We define a dataframe called `df`.
- Line 7: We obtain the transpose of `df` by invoking the `transpose()` method on `df`. The result is called `df_transpose`.
- Line 9: The transpose of `df` is obtained using `.T` attribute of `df`. The result is called `df_transpose_attr`.
- Lines 11–18: We print `df`, `df_transpose` and `df_transpose_attr`.

pandas.tar.gz

python39

How to transpose a dataframe in pandas

Transpose a pandas DataFrame using the transpose() method or the .T attribute.