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I have a Series, like this:
series = pd.Series({'a': 1, 'b': 2, 'c': 3}) I want to convert it to a dataframe like this:
a b c 0 1 2 3 pd.Series.to_frame() does't work, it got result like,
0 a 1 b 2 c 3 How can I construct a DataFrame from Series, with index of Series as columns?
954
To reset the index in pandas, you simply need to chain the function . reset_index() with the dataframe object. On applying the . reset_index() function, the index gets shifted to the dataframe as a separate column.
Pandas with PythonLabels can be called indexes and data present in a series called values. If you want to get labels and values individually. Then we can use the index and values attributes of the Series object. Let's take an example and see how these attributes will work.
to_frame() function is used to convert the given series object to a dataframe. Parameter : name : The passed name should substitute for the series name (if it has one). Example #1: Use Series.
You can also try this :
df = DataFrame(series).transpose() Using the transpose() function you can interchange the indices and the columns. The output looks like this :
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