Pandas show column types

Python: check type and ifno of a data frame

df.shape
df.info()
df.dtypes
des = df.describe()                        # Summary
des_num = df.describe(include=[np.number]) # Include only numerical columns
des_obj = df.describe(include=[np.object]) # Include only string columns
des_obj.transpose()

# Show list of variable / columns in DF
df.columns

# Count number of variables / columns in DF
len(df.columns)

# Count variable
df["myvar"].value_counts()

Source: stackoverflow.com

Pandas show column types

# df is your pandas dataframe
df.dtypes

Pandas check if column is object type

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

Source: stackoverflow.com

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