pandas show column types

1df.shape
2df.info()
3df.dtypes
4des = df.describe()                        # Summary
5des_num = df.describe(include=[np.number]) # Include only numerical columns
6des_obj = df.describe(include=[np.object]) # Include only string columns
7des_obj.transpose()
8
9# Show list of variable / columns in DF
10df.columns
11
12# Count number of variables / columns in DF
13len(df.columns)
14
15# Count variable
16df["myvar"].value_counts()

1# df is your pandas dataframe
2df.dtypes

1for y in agg.columns:
2    if(agg[y].dtype == np.float64 or agg[y].dtype == np.int64):
3          treat_numeric(agg[y])
4    else:
5          treat_str(agg[y])