PythonDataFrames/dfToDict_FromDict.py at main · sarahpcw/PythonDataFrames · GitHub

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# -*- coding: utf-8 -*-
"""
Created on Sun Mar 15 21:17:40 2020

@author: u
"""

import pandas as pd
import numpy as np
#convert a  dictionary as a dataframe:
frame = pd.DataFrame({'Name': ['Anastasia', 'Anastasia', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', 'Kevin', 'Jonas'],
'City': ['California', 'Los Angeles', 'California', 'California', 'California', 'Los Angeles', 'Los Angeles', 'Georgia', 'Georgia', 'Los Angeles'],
'Salary': [2000, 3000, 44000, 5000, 6000, 7000, 8000, 9000, 10000, 11000],
'Job Title':['Manager','Director','Sales Person','Manager','Director', np.nan,np.nan,np.nan,np.nan,np.nan],
'Age':[21,21,31,24,35,46,27,38,49,50]
})
print (frame)

#convert a  dictionary as a dataframe:
mydict = {'Name': ['Anastasia', 'Anastasia', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', 'Kevin', 'Jonas'],
'City': ['California', 'Los Angeles', 'California', 'California', 'California', 'Los Angeles', 'Los Angeles', 'Georgia', 'Georgia', 'Los Angeles'],
'Salary': [2000, 3000, 44000, 5000, 6000, 7000, 8000, 9000, 10000, 11000],
'Job Title':['Manager','Director','Sales Person','Manager','Director', np.nan,np.nan,np.nan,np.nan,np.nan],
'Age':[21,21,31,24,35,46,27,38,49,50]
}

frame = pd.DataFrame( mydict )
print (frame)

#convert a  dictionary as a dataframe:
frame = pd.DataFrame.from_dict(mydict)
print (frame)

#convert a  dataframe  to  a dictionary:
mydict = pd.DataFrame.to_dict(frame)
print (mydict)