Python Pandas - Changing some column types to categories

Question

I have fed the following CSV file into iPython Notebook:

public = pd.read_csv(\"categories.csv\")
public

I\'ve also imported pandas as pd, nump

Answer 1

Jupyter Notebook

In my case, I had big Dataframe with many objects that I would like to convert it to category.

Therefore, what I did is I selected the object columns and filled anything that is NA to missing and then saved it in the original Dataframe as in

# Convert Object Columns to Categories
obj_df =df.select_dtypes(include=['object']).copy()
obj_df=obj_df.fillna('Missing')
for col in obj_df:
    obj_df[col] = obj_df[col].astype('category')
df[obj_df.columns]=obj_df[obj_df.columns]
df.head()

I hope this might be a helpful resource for later reference