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I have a dataframe:
Form nr Element Type Text Options
1 Name1 select text1 op1
1 Name1 select text op2
1 Name1 select text op3
1 Name2 input text2 NaN
2 Name1 input text2 NaN
Is there a way to greate a "nested" hierarchical index like this:
Form nr Element Type Text Options
1 Name1 select text1 op1
op2
op3
Name2 input text2 NaN
2 Name1 input text2 NaN
618
To make the column an index, we use the Set_index() function of pandas. If we want to make one column an index, we can simply pass the name of the column as a string in set_index(). If we want to do multi-indexing or Hierarchical Indexing, we pass the list of column names in the set_index().
MultiIndex is an array of tuples where each tuple is unique. You can create MultiIndex from list of arrays, arry of tuples, dataframe e.t.c. The Index constructor will attempt to return a MultiIndex when it is passed a list of tuples. You can have Multi-level for both Index and Column labels.
Using Hierarchical Indexing in Code This extra syntax allows for greater flexibility when creating queries that cover large, complex DataFrames. These are some basic examples of how to code and utilize DataFrames within Panda.
Assuming there is a typo in the Text column, text <-> text1? I`ll go from your first DataFrame.
In [11]: df
Out[11]:
Form nr Element Type Test Options
0 1 Name1 select text1 op1
1 1 Name1 select text op2
2 1 Name1 select text op3
3 1 Name2 input text2 NaN
4 2 Name1 input text2 NaN
In [12]: df.set_index(['Form', 'nr Element', 'Type', 'Test'])
Out[12]:
Options
Form nr Element Type Test
1 Name1 select text1 op1
text op2
text op3
Name2 input text2 NaN
2 Name1 input text2 NaN
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