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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.

wgpubs
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1 Answers1

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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...

jfunk
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