Difference Between Transpose() And. T in Pandas
I Have a Sample of Data: D = {'Name': ['Alice', 'Bob'], 'Score': [9.5, 8], 'Kids': [1, 2]} I Want to Display Simple Statistics of the Dataset in Pandas Using...
I have a sample of data:
d = {'name': ['Alice', 'Bob'], 'score': [9.5, 8], 'kids': [1, 2]}
I want to display simple statistics of the dataset in pandas using describe() method.
df = pd.DataFrame(data=d)
print(df.describe().transpose())
Output 1:
Is there any difference between the two workflows when I am ending up with the same result?
df = pd.DataFrame(data=d)
print(df.describe().T)
Output 2:
References:
1 Answer
There is no difference. As mentioned in the T attribute documentation, T is simply an accessor for the transpose() method. Indeed a quick look in the pandas DataFrame source code shows that the entire implementation of T is nothing more than:
T = property(transpose)
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