In this tutorial, We will see different ways of Creating a pandas Dataframe from Dictionary .
Using a Dataframe() method of pandas.
Example 1 : When we only pass a dictionary in DataFrame() method then it shows columns according to ascending order of their names .
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# import pandas package as pd in this code import pandas as pd # make a dictionary containing students data data = { 'Name': ['Swapnil', 'Shivangi', 'Shaurya', 'Priya'], 'Age': [23, 22, 21, 20], 'Course': ['B.tech', 'B.tech', 'B.sc', 'B.sc'], 'College': ['Geu','Geu','Gehu','Gehu'] , } # Convert the given dictionary into pandas DataFrame df = pd.DataFrame(data) # print the pandas Dataframe print("Given Dataframe :\n", df) |
Output :
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Given Dataframe : Age College Course Name 0 23 Geu B.tech Swapnil 1 22 Geu B.tech Shivangi 2 21 Gehu B.sc Shaurya 3 20 Gehu B.sc Priya |
Example 2 : If we want to show a DataFrame with a specific order of columns then we have to pass a columns key word arguments alog with dictionary in the DataFrame method.
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# import pandas package as pd in this code import pandas as pd # make a dictionary containing students data data = { 'Name': ['Swapnil', 'Shivangi', 'Shaurya', 'Priya'], 'Age': [23, 22, 21, 20], 'Course': ['B.tech', 'B.tech', 'B.sc', 'B.sc'], 'College': ['Geu','Geu','Gehu','Gehu'] , } # Convert the given dictionary into pandas DataFrame df = pd.DataFrame(data, columns = ['Name', 'Age', 'Course', 'College']) # print the pandas Dataframe print("Given Dataframe :\n", df) |
Output :
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Given Dataframe : Name Age Course College 0 Swapnil 23 B.tech Geu 1 Shivangi 22 B.tech Geu 2 Shaurya 21 B.sc Gehu 3 Priya 20 B.sc Gehu |
Using DataFrame.from_dict() method.
Example 1 : When we only pass a dictionary in DataFrame.from_dict() method then it shows columns according to ascending order of their names .
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# import pandas package as pd in this code import pandas as pd # make a dictionary containing students data data = { 'Name': ['Swapnil', 'Shivangi', 'Shaurya', 'Priya'], 'Age': [23, 22, 21, 20], 'Course': ['B.tech', 'B.tech', 'B.sc', 'B.sc'], 'College': ['Geu','Geu','Gehu','Gehu'], } # Convert the given dictionary into pandas DataFrame df = pd.DataFrame.from_dict(data) # print the pandas Dataframe print("Given Dataframe :\n", df) |
Output :
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Given Dataframe : Age College Course Name 0 23 Geu B.tech Swapnil 1 22 Geu B.tech Shivangi 2 21 Gehu B.sc Shaurya 3 20 Gehu B.sc Priya |
Example 2 : If we want to create a Dataframe using dictionary in which keys is act as rows then we have to Specify orient="index" in DataFrame.from_dict() method along with dictionary.
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# import pandas package as pd in this code import pandas as pd # make a dictionary containing students data data = { 'Name': ['Swapnil', 'Shivangi', 'Shaurya', 'Priya'], 'Age': [23, 22, 21, 20], 'Course': ['B.tech', 'B.tech', 'B.sc', 'B.sc'], 'College': ['Geu','Geu','Gehu','Gehu'], } # Convert the given dictionary into pandas DataFrame df = pd.DataFrame.from_dict(data, orient = "index") # print the pandas Dataframe print("Given Dataframe :\n", df) |
Output :
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Given Dataframe : 0 1 2 3 Name Swapnil Shivangi Shaurya Priya Age 23 22 21 20 Course B.tech B.tech B.sc B.sc College Geu Geu Gehu Gehu |
That’s all about how to create a pandas Dataframe from Dictionary
