Can only use .str accessor with string values, which use np.object_ dtype in pandas

System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): CentOS Linux release 7.5.1804 (Core)
• Modin installed from (source or binary): pip install modin
• Modin version: 0.3.0
• Python version: 3.5.2
• Exact command to reproduce: df['foo'] = df['foo'].str.replace('.', ',')

Describe the problem

This issue follows the #414 And yes df['foo'] = df['foo'].str.replace('.', ',') worked with pandas. Actually all my code used to worked with pandas ^^

Source code / logs

Can only use .str accessor with string values, which use np.object_ dtype in pandas

[Clem-D]

print(df['foo'].dtype) gives “object” df['foo'] = df['foo'].apply(str).str.replace('.', ',') actually works 😃

[devin-petersohn]

I see, the encoding does not allow testing on 0.2.5.

This is an interesting issue, because it is using pandas for that series code.

What does print(df['foo'].dtype) print? It is giving an error related to the dtype.

Also, does this fix the issue:

df['foo'] = df['foo'].apply(str).str.replace('.', ',')

It will force the column to string dtype because it is not recognizing it as a string column.