Coding Ref

To find the mode (i.e., the most frequently occurring value) in a Pandas DataFrame, you can use the `mode()`

function.

This function returns the mode of each column in the DataFrame, as a Series with the same index as the original DataFrame.

Here's an example of using the `mode()`

function in Pandas to find the mode of a DataFrame:

main.py

```
import pandas as pd
# create a sample dataframe
df = pd.DataFrame({"A": [1, 2, 3, 2, 3],
"B": [6, 7, 7, 8, 8]})
# find the mode of each column in the dataframe
df_mode = df.mode()
# display the result
print(df_mode)
```

This will find the mode of each column in the DataFrame, and return a new Series with the mode of each column.

The output will be:

output

```
A B
0 2 7
1 3 8
```

You can also use the `mode()`

function to find the mode of a particular column in a dataframe.

For example:

main.py

```
import pandas as pd
# create a sample dataframe
df = pd.DataFrame({'A': [1, 2, 2, 3],
'B': [1, 2, 3, 4],
'C': [1, 2, 2, 4]})
# find the mode of column A
mode_A = df['A'].mode()
# display the result
print(mode_A)
```

This will find the mode of column `A`

and return it as a Series.

The resulting Series will contain the most common value(s) in column `A`

.

In this case, the mode of column `A`

is `2`

because it appears twice in the column, which is more than any other value.

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