Example 1: pandas dataframe from dict
data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
pd.DataFrame.from_dict(data)
Example 2: convert a dictionary into dataframe python
import pandas as pd
data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
pd.DataFrame.from_dict(data, orient='index').T
Example 3: how to make a pandas dataframe from a dictionary
>>> data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
>>> pd.DataFrame.from_dict(data)
Example 4: pandas dataframe from dict
>>> data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
>>> pd.DataFrame.from_dict(data)
col_1 col_2
0 3 a
1 2 b
2 1 c
3 0 d
Example 5: 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
Example 6: python how to create a pandas dataframe from a dictionary
import pandas as pd
pandas_dataframe = pd.DataFrame(dictionary)
import pandas as pd
student_data = {'name' : ['Jack', 'Riti', 'Aadi'],
'age' : [34, 30, 16],
'city' : ['Sydney', 'Delhi', 'New york']}
pandas_dataframe = pd.DataFrame(student_data)
print(pandas_dataframe)
name age city
0 Jack 34 Sydney
1 Riti 30 Delhi
2 Aadi 16 New york
pandas_dataframe = pd.DataFrame(student_data, columns=['name', 'city'])
print(pandas_dataframe)
name city
0 Jack Sydney
1 Riti Delhi
2 Aadi New york
pandas_dataframe = pd.DataFrame.from_dict(student_data, orient='index')
print(pandas_dataframe)
0 1 2
name Jack Riti Aadi
age 34 30 16
city Sydney Delhi New york