'pandas' has no attribute 'to_float' - pandas

Question

I'm testing my data using the SVM Classifier. And my dataset is in a form of text and I'm trying to transform it into float.
I have data that may look like this:
dataset
Transform as float
df.columns = df('columns').str.rstrip('%').astype('float') / 100.0
TypeError Traceback (most recent call last)
<ipython-input-66-74921537411d> in <module>
1 # Transform as float
----> 2 df.columns = df('columns').str.rstrip('%').astype('float') / 100.0
3
TypeError: 'DataFrame' object is not callable

Answer 1

Basically, it is impossible to convert text to float. In your dataset, it seems that all the columns have text values, and not sure if the value can be numbers by using rstrip('%') (because the values are too long, so truncated in the image).
If the values of a columns can be numbers by using rstrip('%'), then you can convert it. In addition, you are using (), not [] for the dataframe. Because you are using`df(...'), it looks like a function call. You can do what you want if the values of a columns is numbers, as follows:
df['columns'] = df['columns'].str.rstrip('%').astype('float') / 100.0
Here is a full code sample:
import pandas as pd
df = pd.DataFrame({
'column_name': ['111%', '222%'],
})
# df looks like:
# columns
#0 111%
#1 222%
df['column_name'] = df['column_name'].str.rstrip('%').astype('float') / 100.0
print(df)
# columns
#0 1.11
#1 2.22