Hp Laserjet 1000 Driver For Windows 7 64 Bit Free Download ((FREE)) ⭐



 
 
 
 
 
 
 

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How to convert pandas dataframe to dictionary?

I am trying to convert pandas dataframe to dictionary.
This is my attempt:
import re

def ff(a):
return dict([(‘name’, a[‘name’]), (‘clicks’, a[‘clicks’]),
(‘dep_date’, a[‘dep_date’])])

def ff2(a):
return {‘clicks’: a[‘clicks’],
‘dep_date’: a[‘dep_date’]}

def ff3(a):
return dict([(‘name’, a[‘name’])])

df = pd.DataFrame(a={‘name’: [‘aaaa’, ‘bbbb’, ‘cccc’],
‘clicks’: [1, 2, 3],
‘dep_date’: [1, 2, 3]})

dict(ff(df[‘name’]), df)

dict(map(ff, df.index))

def ff4(df):
return pd.DataFrame(sorted(list(df)), columns=[‘name’])

ff4(df)

But I get the following error:
TypeError: ff() takes no keyword arguments

A:

You can use sorted dictionary with list comprehension and check if value is not duplicated:
df = pd.DataFrame(a={‘name’: [‘aaaa’, ‘bbbb’, ‘cccc’],
‘clicks’: [1, 2, 3],
‘dep_date’: [1, 2, 3]})

print (df)

AMEPPA