How to replace underscores with minus signs in an entire column?

The image below is my list where I want to edit two columns for future analysis during the data cleaning process:

When running the code bike_share_data["start_lng"].dtypes, the contents of the "start_lng" and "end_lng" columns are dtype('o')

Now I want to replace the underscore (_) with a minus sign (-) and make the data type of the entire column a float.

I have tested the code in isolation as shown below:

import pandas as pd
d =[ '_1.0', '_2.0', '_3.0']

d=[s.replace('_','-') for s in d]
print(d)

The result is ['-1.0', '-2.0', '-3.0'].

But it cannot be achieved on the bike_share_data["start_lng"] column. what should I do?

Correct answer

You can use the str.replace() method to perform the replacement and then use the astype() to change type of data.

# sample DataFrame with a "start_lng" column containing strings
data = {'start_lng': ['_1.0', '_2.0', '_3.0']}
Bike_share_data = pd.DataFrame(data)

# Replace underscores with minus signs & convert the column to float
Bike_share_data["start_lng"] = Bike_share_data["start_lng"].str.replace('_', '-').astype(float)

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