Let’s discuss how to convert Python Dictionary to Pandas Dataframe. We can convert a dictionary to a pandas dataframe by using the pd.DataFrame.from_dict() class-method.
Example 1: Passing the key value as a list.
import pandas as pd
data = {'name': ['nick', 'david', 'joe', 'ross'],
'age': ['5', '10', '7', '6']}
new = pd.DataFrame.from_dict(data)
new
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Output:
Example 2
import pandas as pd
data = [{'area': 'new-hills', 'rainfall': 100, 'temperature': 20},
{'area': 'cape-town', 'rainfall': 70, 'temperature': 25},
{'area': 'mumbai', 'rainfall': 200, 'temperature': 39 }]
df = pd.DataFrame.from_dict(data)
df
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Output:
Example 3: Using the orient parameter to change the orientation of the dataframe from column to index
import pandas as pd
data ={'area': ['new-hills', 'cape-town', 'mumbai'],
'rainfall':[100, 70, 200],
'temperature':[20, 25, 39]}
df = pd.DataFrame.from_dict(data, orient ='index')
df
print(df)
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Output:
