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How to convert Python Dictionary to Pandas DataFrame

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Hello guys. How are you all? I hope you all fine. In this tutorial we will learn about how to convert Python Dictionary to Pandas DataFrame. so without wasting time lets learn about of this.

Contents
  1. How to convert Python Dictionary to Pandas DataFrame
  2. Method 1: Use pandas.dataframe().from_dict()
  3. Method 2: Use pd.dataframe()
  4. Conclusion

How to convert Python Dictionary to Pandas DataFrame

  1. convert Python Dictionary to Pandas DataFrame

    to convert Python Dictionary to Pandas DataFrame just use pandas.dataframe().from_dict() By using pandas.dataframe().from_dict() you can convert Python Dictionary to Pandas DataFrame. Lets learn about of this by given below example: import pandas as pd print(pd.DataFrame.from_dict({ 'heeya': 43, 'meet': 45, 'jaydeep': 47, 'romil': 41, 'vrunda': 48, 'nirali': 43}, orient='index').rename(columns={0:'marks'})) Output :
    marks heeya 43 meet 45 jaydeep 47 romil 41 vrunda 48 nirali 43

  2. How to convert Python Dictionary to Pandas DataFrame

    to convert Python Dictionary to Pandas DataFrame just Use pd.dataframe().By using pd.dataframe() you can convert Python Dictionary to Pandas DataFrame. Lets learn about of this by given below example: import pandas as pd marks_dict = { 'heeya': 43, 'meet': 45, 'jaydeep': 47, 'romil': 41, 'vrunda': 48, 'nirali': 43} print(pd.DataFrame(list(marks_dict.items()), columns=['student', 'marks'])) Output : student marks 0 heeya 43 1 meet 45 2 jaydeep 47 3 romil 41 4 vrunda 48 5 nirali 43

  3. dictionary to dataframe

    To convert Python Dictionary to Pandas DataFrame just use pandas.dataframe().from_dict() By using pandas.dataframe().from_dict() you can convert Python Dictionary to Pandas DataFrame. Lets learn about of this by given below example: import pandas as pd print(pd.DataFrame.from_dict({ 'heeya': 43, 'meet': 45, 'jaydeep': 47, 'romil': 41, 'vrunda': 48, 'nirali': 43}, orient='index').rename(columns={0:'marks'})) Output :
    marks heeya 43 meet 45 jaydeep 47 romil 41 vrunda 48 nirali 43

Method 1: Use pandas.dataframe().from_dict()

Just Use pandas.dataframe().from_dict(). Lets learn about of this by given below example: 

import pandas as pd
print(pd.DataFrame.from_dict({
 'heeya': 43,
 'meet': 45,
 'jaydeep': 47,
 'romil': 41,
 'vrunda': 48,
 'nirali': 43}, orient='index').rename(columns={0:'marks'}))

Output :

         marks
heeya       43
meet        45
jaydeep     47
romil       41
vrunda      48
nirali      43

Method 2: Use pd.dataframe()

By using pd.dataframe() you can convert Dictionary to Pandas DataFrame. Lets learn about of this by given below example: 

import pandas as pd

marks_dict = {
 'heeya': 43,
 'meet': 45,
 'jaydeep': 47,
 'romil': 41,
 'vrunda': 48,
 'nirali': 43}
print(pd.DataFrame(list(marks_dict.items()),
                   columns=['student', 'marks']))

Output :

   student  marks
0    heeya     43
1     meet     45
2  jaydeep     47
3    romil     41
4   vrunda     48
5   nirali     43

Conclusion

It’s all About this Tutorial. Hope all methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which method worked for you?

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