Answers for "pd.DataFrame(dict"

3

python how to create a pandas dataframe from a dictionary

# Basic syntax:
import pandas as pd
pandas_dataframe = pd.DataFrame(dictionary)
# Note, with this command, the keys become the column names 

# Create dictionary:
import pandas as pd
student_data = {'name' : ['Jack', 'Riti', 'Aadi'], # Define dictionary
    	   	    'age' : [34, 30, 16],
    		    'city' : ['Sydney', 'Delhi', 'New york']}

# Example usage 1:
pandas_dataframe = pd.DataFrame(student_data) 
print(pandas_dataframe)
	name	age	city	# Dictionary keys become column names
0	Jack	34	Sydney
1	Riti	30	Delhi
2	Aadi	16	New york

# Example usage 2:
# Only select listed dictionary keys to dataframe columns:
pandas_dataframe = pd.DataFrame(student_data, columns=['name', 'city'])
print(pandas_dataframe)
	name	city
0	Jack	Sydney
1	Riti	Delhi
2	Aadi	New york

# Example usage 3:
# Make pandas dataframe with keys as rownames:
pandas_dataframe = pd.DataFrame.from_dict(student_data, orient='index') 
print(pandas_dataframe)
           0      1         2
name    Jack   Riti      Aadi # Keys become rownames
age       34     30        16
city  Sydney  Delhi  New york
Posted by: Guest on October-03-2020
1

pandas dataframe from dict

>>> pd.DataFrame.from_dict(data, orient='index',
...                        columns=['A', 'B', 'C', 'D'])
       A  B  C  D
row_1  3  2  1  0
row_2  a  b  c  d
Posted by: Guest on June-12-2020

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