Convert Numerical String Characters to Float Using Python

To convert a number stored as text to a float in Pandas, you can use the astype() method. This method allows you to cast the data type of a column to a specified type.

Here's an example code snippet to convert a text column to float in Pandas:

import pandas as pd

# create a sample dataframe
data = {'Number as Text': ['1.23', '4.56', '7.89']}
df = pd.DataFrame(data)

# cast the 'Number as Text' column to float
df['Number as Text'] = df['Number as Text'].astype(float)

# display the dataframe
print(df)

In this example, we create a sample dataframe with a column named 'Number as Text' that contains numbers stored as text. We then use the astype() method to cast the 'Number as Text' column to float. Finally, we display the updated dataframe using the print() method.

By using this method, you can easily convert a number stored as text to a float in Pandas.