Pandas DataFrame From_dict Method

Introduction

The DataFrame.from_dict() method in pandas is used to construct a DataFrame object from a dictionary of array-like or dicts type. It allows you to create a DataFrame from a dictionary by columns or by index, and also allows you to specify the data types and column labels.

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Import the pandas library

First, import the pandas library using the following code:

import pandas as pd

This will give you access to all the pandas functions and methods.

Create a dictionary

Next, create a dictionary that contains the data you want to convert to a DataFrame. The keys of the dictionary will become the column labels or row labels, depending on the orient parameter. For example:

data = {'key_1': [3, 2, 1, 0], 'key_2': ['a', 'b', 'c', 'd']}

This dictionary has two keys, 'key_1' and 'key_2', and corresponding values in the form of arrays or lists.

Create a DataFrame by columns

To create a DataFrame with the keys of the dictionary as column labels, use the DataFrame.from_dict() method with the default orient parameter value of 'columns'. For example:

df = pd.DataFrame.from_dict(data)

This will create a DataFrame object with the dictionary keys ('key_1' and 'key_2') as the column labels, and the values as the respective columns.

Create a DataFrame by rows

To create a DataFrame with the keys of the dictionary as row labels, use the orient parameter value of 'index'. For example:

df = pd.DataFrame.from_dict(data, orient='index')

This will create a DataFrame object with the dictionary keys ('key_1' and 'key_2') as the row labels, and the values as the respective rows.

Specify column labels

If you are using the 'index' orientation, you can manually specify the column labels using the columns parameter. For example:

df = pd.DataFrame.from_dict(data, orient='index', columns=['A', 'B', 'C', 'D'])

This will create a DataFrame object with the dictionary keys as the row labels, and the specified column labels ('A', 'B', 'C', 'D').

Summary

The DataFrame.from_dict() method in pandas allows you to create a DataFrame object from a dictionary of array-like or dicts type. By default, the keys of the dictionary become the column labels, but you can also create a DataFrame with the keys as row labels. You can also specify data types and column labels using the optional parameters. This method is useful when you want to convert a dictionary into a tabular format for data analysis and manipulation.