Graphlabs SFrame.show() display a comprehensive view of each column in the SFrame and I was wondering if there is an equivalent in Pandas?
df.describe() just doesn't provide the level of details at a glance that sf.show() does.
The closest thing is df.describe() as you've already pointed out. However you might be able to supplement the missing details with further call to pandas functions such as:
df['A'].value_counts()
- Count the frequency of values in a column
df['A'].mean()
- Compute the mean of a column
df['A'].var()
- Compute the variance of a column
df['A'].std()
- Compute the standard deviation of a column
df['A'].min()
df['A'].max()
df['A'].sum()
etc...
See this link for more...