Pandas.DataFrame transpose

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Brief

Motivation

• Sometimes, a way to change the acquired data, can improve the speed of data acquisition.
• sometimes, crawling anticipation of uncertain length data, so only the first stored.
• sometimes, there to give you data like this, but can not easily use
• …

In these cases, you might need to encounter method DataFrame ranks transposed.

Contribution

It provides a method of transposition of the ranks Pandas.DataFrame

Experimental part

• Import Package

>>> import pandas as pd

• Creating a Data

>>> df = pd.DataFrame([['A', 1, 2], ['B', 3, 4]],  columns=['Name', 'c1', 'c2'])

• Data reads as follows:

>>> df
  Name  c1  c2
0    A   1   2
1    B   3   4

• operating:

>>> df2 = pd.DataFrame(df.values.T, index=df.columns, columns=df.index)
>>> df2
      0  1
Name  A  B
c1    1  3
c2    2  4

Conclusion

It is simply a matrix inversion method using numpy built, such operations fastest.