WebThe MultiIndex object is the hierarchical analogue of the standard Index object which typically stores the axis labels in pandas objects. You can think of MultiIndex as an array of tuples where each tuple is unique. A MultiIndex can be created from a list of arrays (using MultiIndex.from_arrays () ), an array of tuples (using MultiIndex.from ... WebFind the best open-source package for your project with Snyk Open Source Advisor. Explore over 1 million open source packages.
How to filter by index value in Pandas DataFrame - CodeSource.io
WebOct 31, 2024 · 8. Checking column names (or index values) for a given sub-string. We can check for the presence of a partial string in column headers and return those columns. Filter column names. In the example below, we will use df.filter(like=pattern, axis=1) to return column names with the given pattern. We can also use axis=columns. Note that … WebDataFrame.filter(items=None, like=None, regex=None, axis=None) [source] #. Subset the dataframe rows or columns according to the specified index labels. Note that this routine … tatiana golikova aig
Filtering Data in Python with Boolean Indexes - Mode Resources
WebFeb 17, 2024 · Filter () is a built-in function in Python. The filter function can be applied to an iterable such as a list or a dictionary and create a new iterator. This new iterator can filter out certain specific elements based on the condition that you provide very efficiently. Note: An iterable in Python is an object that you can iterate over. WebAug 23, 2024 · Option 2: Filter DataFrame by date using the index. For this example we will change the original index of the DataFrame in order to have a index which is a date: df = df.set_index('date') Now having a DataFrame with index which is a datetime we can filter the rows by: df.loc['2024-12-01':'2024-12-31'] the result is the same: batente peroba