python: best way convey missing value count -

i have data frame 9 features , features have missing values. following count of missing values in each feature:

df.isnull().sum() 

which gives me:

a           0 b           0 c    15844523 d         717 e       18084 f      118679 g           0 h      978505           0 

i want display information in nice way. can create table in report there other way display in plot?

i think can use numpy.log series.plot.bar:

import matplotlib.pyplot plt  np.log(s).plot.bar() plt.show() 

another solution categorize data bins cut , use series.plot.bar:

import matplotlib.pyplot plt  #convert series 1 column df column name 'name' df = s.rename('name').to_frame()  bins = [-1,1, 10, 100, 1000,10000,100000,1000000,10000000, 100000000,np.inf] labels=[0,1,2,3,4,5,6,7,8,9] df['label'] = pd.cut(df['name'], bins=bins, labels=labels)  print (df.label)    0 b    0 c    8 d    3 e    5 f    6 g    0 h    6    0 name: label, dtype: category categories (10, int64): [0 < 1 < 2 < 3 ... 6 < 7 < 8 < 9]  df.label.astype(int).plot.bar() plt.show() 

i think nicer plot column name:

df.name.plot.bar() plt.show()