You can select data from a specific level of a multi-index DataFrame in Pandas using the .xs() method (cross-section method) or by using the .loc[] indexer with a tuple specifying the index values you want to select. Here are both approaches:
Let's assume you have the following multi-index DataFrame:
import pandas as pd # Sample data data = { ('A', 'x'): [1, 2, 3], ('A', 'y'): [4, 5, 6], ('B', 'x'): [7, 8, 9], ('B', 'y'): [10, 11, 12] } index = pd.MultiIndex.from_tuples([(0, '2023-08-01'), (0, '2023-08-02'), (1, '2023-08-01')], names=['level_1', 'date']) df = pd.DataFrame(data, index=index) print(df) .xs() Method:The .xs() method allows you to select data at a particular level by specifying the label of that level.
# Select data from level_1 = 0 result_x = df.xs(0, level='level_1') print(result_x)
.loc[] Indexer:You can use the .loc[] indexer with a tuple specifying the index values you want to select.
# Select data from level_1 = 0 result_y = df.loc[(0,)] print(result_y)
Both of these approaches will give you a DataFrame containing data from the specified level of the multi-index. Remember to adjust the level name ('level_1' in this example) based on your actual index levels.
How to select only one index of a multi-index DataFrame in Python using loc[]?
# Description: This query demonstrates selecting only one index of a multi-index DataFrame in Python using loc[]. # Assuming 'df' is your multi-index DataFrame selected_index = df.loc['index_label']
Selecting only one index of a multi-index DataFrame in Python with xs()
# Description: This query illustrates selecting only one index of a multi-index DataFrame in Python using xs(). # Assuming 'df' is your multi-index DataFrame selected_index = df.xs('index_label') How to select only one index of a multi-index DataFrame in Python using query()?
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# Description: This query demonstrates selecting only one index of a multi-index DataFrame in Python using query() and index.get_level_values(). # Assuming 'df' is your multi-index DataFrame selected_index = df.query("index_name == @value") Selecting only one index of a multi-index DataFrame in Python with loc[] and tuple
# Description: This query illustrates selecting only one index of a multi-index DataFrame in Python with loc[] and tuple. # Assuming 'df' is your multi-index DataFrame selected_index = df.loc[('index_label',)] How to select only one index of a multi-index DataFrame in Python using boolean indexing?
# Description: This query demonstrates selecting only one index of a multi-index DataFrame in Python using boolean indexing. # Assuming 'df' is your multi-index DataFrame selected_index = df[df.index.get_level_values('index_name') == 'index_label'] Selecting only one index of a multi-index DataFrame in Python with IndexSlice
# Description: This query illustrates selecting only one index of a multi-index DataFrame in Python with IndexSlice. # Assuming 'df' is your multi-index DataFrame selected_index = df.loc[pd.IndexSlice['index_label', :], :]
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