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').Tconvert 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').Tconvert pandas dataframe/ table to python dictionary
df.to_dict(orient='index')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 yorkdataframe to dictionary
>>> df.to_dict('records')
[{'col1': 1, 'col2': 0.5}, {'col1': 2, 'col2': 0.75}]pandas dataframe.to_dict
#orientstr {‘dict’, ‘list’, ‘series’, ‘split’, ‘records’, ‘index’}
#Determines the type of the values of the dictionary.
#‘dict’ (default) : dict like {column -> {index -> value}}
#‘list’ : dict like {column -> [values]}
#‘series’ : dict like {column -> Series(values)}
#‘split’ : dict like {‘index’ -> [index], ‘columns’ -> [columns], ‘data’ -> [values]}
#‘records’ : list like [{column -> value}, … , {column -> value}]
#‘index’ : dict like {index -> {column -> value}}
# Example:
data = pandas.read_csv("data/data_name.csv")
to_dict = data.to_dict(orient="records")Copyright © 2021 Codeinu
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