If pandas DataFrame info() and describe() methods had a baby this would be skimpy. It produces an extended statistics summary of your Pandas DataFrames. It is inspired by the skimR library and should give you a quick summary of your data.
Work still in progress.
I use the api.extensions for Pandas to produce statistical resume of your DataFrame. A quick example with the iris dataset.
iris_data.skim.print()
"""
Variable type: summary
Values
───────────────────────────────────
Number of rows 150
Number of columns 5
The frequency of float64 4
The frequency of object 1
Variable type: numeric
Variable N_total N_missing Min Max Mean Std Q0 Q25 Q50 Q75 Q100 Skew Kurt Dist
─────────────────────────────────────────────────────────────────────────────────────────────────────
sepal_length 150 0 4 7 5.843 0.828 4.3 5.1 5.8 6.4 7.9 0.315 -0.552 ▂▆▄█▄▇▅▁▁▁
sepal_width 150 0 2 4 3.054 0.434 2.0 2.8 3.0 3.3 4.4 0.334 0.291 ▁▄▅█▆▁▂
petal_length 150 0 1 6 3.759 1.764 1.0 1.6 4.35 5.1 6.9 -0.274 -1.402 █▂ ▁▅▆▃▂▁
petal_width 150 0 0 2 1.199 0.763 0.1 0.3 1.3 1.8 2.5 -0.105 -1.34 █▁ ▁▁▆▁▄▁▂
Variable type: object
Variable N_total N_missing Min Max N_empty_string N_distinct
──────────────────────────────────────────────────────────────────────────
species 150 0 6 10 0 3
"""