I have two columns Lat and Long in a data frame. I try to convert these strings into float but I have the following error:
ValueError: Unable to parse string "𝟒" at position 61754
I've noticed that in my data frame I have numbers written in different styles, even in bold text. I'm wondering if there is a way to convert the numbers in the same style.
Suppose you have this DataFrame:
funny_numbers
0 𝟒
1 𝟝
2 𝟳𝟨
You can try .str.normalize
to convert the Unicode characters to standard form:
df["funny_numbers"] = df["funny_numbers"].str.normalize("NFKD")
df["funny_numbers"] = pd.to_numeric(df["funny_numbers"])
print(df)
Prints:
funny_numbers
0 4
1 5
2 76