Create new column in csv pandas

You can create a new column in a CSV file using pandas in Python by following these steps:

Import the pandas library:
```
import pandas as pd
```
Read the CSV file into a pandas DataFrame:
```
df = pd.read_csv('your_file.csv')
```
Create a new column by assigning a value to a new column name:
```
df['new_column_name'] = [value1, value2,...]
```
Here, value1, value2, etc. are the values you want to assign to the new column.

For example, if you want to create a new column called new_column with values 1, 2, 3, etc.:

df['new_column'] = range(1, len(df) + 1)

If you want to create a new column based on an existing column, you can use the apply method:
```
df['new_column'] = df['existing_column'].apply(lambda x: x * 2)
```
This will create a new column new_column with values that are twice the values in the existing_column.
If you want to create a new column based on multiple columns, you can use the apply method with a lambda function:
```
df['new_column'] = df.apply(lambda row: row['col1'] + row['col2'], axis=1)
```
This will create a new column new_column with values that are the sum of the values in col1 and col2 for each row.
Finally, you can write the updated DataFrame back to the CSV file:
```
df.to_csv('your_file.csv', index=False)
```
This will overwrite the original CSV file with the updated DataFrame.

Here is an example code snippet that creates a new column new_column with values 1, 2, 3, etc.:

import pandas as pd

# Read the CSV file
df = pd.read_csv('your_file.csv')

# Create a new column
df['new_column'] = range(1, len(df) + 1)

# Write the updated DataFrame back to the CSV file
df.to_csv('your_file.csv', index=False)

Note that the index=False parameter in the to_csv method tells pandas not to write the row index to the CSV file.

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Create new column in csv pandas