переведи данные датафрейма из типа object в тип float in python

To convert data in a dataframe column from object type to float type in Python using pandas, you can use the astype() function. Here's an example:

main.py
import pandas as pd

# Create a sample dataframe
df = pd.DataFrame({'Column1': ['1.2', '3.4', '5.6']})

# Convert the column from object to float type
df['Column1'] = df['Column1'].astype(float)

# Check the data types of the columns
print(df.dtypes)
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11 lines

Output:

main.py
Column1    float64
dtype: object
33 chars
3 lines

In this example, we first create a sample dataframe with a column named 'Column1' containing string values. We then use the astype() function to convert the values in the 'Column1' column from object type to float type. Finally, we check the data types of the columns to verify the conversion.