Dataframe from dict

Pandas dataframe from dict

data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
pd.DataFrame.from_dict(data)

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

Pandas dataframe from dict

>>> data = {'row_1': [3, 2, 1, 0], 'row_2': ['a', 'b', 'c', 'd']}
>>> pd.DataFrame.from_dict(data, orient='index')
       0  1  2  3
row_1  3  2  1  0
row_2  a  b  c  d

Source: pandas.pydata.org

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

Source: pandas.pydata.org

Convert dict to dataframe

#Lazy way to convert json dict to df

pd.DataFrame.from_dict(data, orient='index').T

Dataframe from dict

pd.DataFrame.from_dict(data)

Similar codes

0 vote124 views2 answers
Staircase hackerrank solution python
Python
0 vote150 views2 answers
Python thousands separators
Python
0 vote159 views1 answer
405 status code django
Python Django
0 vote137 views1 answer
Loading in pyqt5
Python
0 vote123 views1 answer
Networkx node attribute from a dataframe
Python
0 vote133 views1 answer
Slack bot error not_in_channel
Python
0 vote131 views1 answer
String pattern matching pandas
Python
0 vote163 views1 answer
Vscode how to extend output size in jupyter notebook
Python
0 vote142 views1 answer
Numpy stack in new dimension
Python
11 votes134 views2 answers
__str__()
Python