如何遍历数据框的列，然后在这些列中的每一列上运行 describe() 函数？

Question

What I have tried so far is to iterate through the dataframe columns and then use the control variable in the df.<columnName>.describe() function, but this doesn't seem to work...

for (columnName, columnData) in df.iteritems():
  print('Column Name: {}'.format(columnName))
  column_stats = df.columnName.describe()

This is the output :

attr__ return object. getattribute (self, name) AttributeError: 'DataFrame' object has no attribute 'columnName'

Can someone help me with this rather trivial doubt ...

Answer 1

Try it:

for columnName, columnData in df.iteritems():
    print('Column Name: {}'.format(columnName))
    column_stats = df[columnName].describe()

df.columnName is searching for a Column Name ColumnName not the value of your variable