the values the new names to update the corresponding names. The mapping should not be restricted to fixed names only, but can be a mapping function as well. For example, converting the column names to lowercase a dictionary to define the mapping {from : to}. Warning: There is also a replace() method available to replace a specific set of characters. However, when having a mapping of multiple values, this would 912123 -0.050390 c 0.695246 1.478369 1.227435 Renaming / mapping labels The rename() method allows you to relabel an axis based on some mapping (a dict or Series) or an arbitrary function. In [243]: s

the values the new names to update the corresponding names. The mapping should not be restricted to fixed names only, but can be a mapping function as well. For example, converting the column names to lowercase a dictionary to define the mapping {from : to}. Warning: There is also a replace() method available to replace a specific set of characters. However, when having a mapping of multiple values, this would 912123 -0.050390 c 0.695246 1.478369 1.227435 Renaming / mapping labels The rename() method allows you to relabel an axis based on some mapping (a dict or Series) or an arbitrary function. In [243]: s

sets with more than 32,767 variables (GH23573, GH30959) • Series.map() now accepts collections.abc.Mapping subclasses as a mapper (GH29733) • Added an experimental attrs for storing global metadata about Bug fixes 1.9.1 Categorical • Added test to assert the fillna() raises the correct ValueError message when the value isn’t a value from categories (GH13628) • Bug in Categorical.astype() where NaN values read_parquet() will preserve Categorical dtypes for string types (GH27955) • Changed the error message in Categorical.remove_categories() to always show the invalid re- movals as a set (GH28669) • Using

the values the new names to update the corresponding names. The mapping should not be restricted to fixed names only, but can be a mapping function as well. For example, converting the column names to lowercase a dictionary to define the mapping {from : to}. Warning: There is also a replace() method available to replace a specific set of characters. However, when having a mapping of multiple values, this would 912123 -0.050390 c 0.695246 1.478369 1.227435 Renaming / mapping labels The rename() method allows you to relabel an axis based on some mapping (a dict or Series) or an arbitrary function. In [244]: s

the values the new names to update the corresponding names. The mapping should not be restricted to fixed names only, but can be a mapping function as well. For example, converting the column names to lowercase a dictionary to define the mapping {from : to}. Warning: There is also a replace() method available to replace a specific set of characters. However, when having a mapping of multiple values, this would 912123 -0.050390 c 0.695246 1.478369 1.227435 Renaming / mapping labels The rename() method allows you to relabel an axis based on some mapping (a dict or Series) or an arbitrary function. In [244]: s

the values the new names to update the corresponding names. The mapping should not be restricted to fixed names only, but can be a mapping function as well. For example, converting the column names to lowercase a dictionary to define the mapping {from : to}. Warning: There is also a replace() method available to replace a specific set of characters. However, when having a mapping of multiple values, this would 912123 -0.050390 c 0.695246 1.478369 1.227435 Renaming / mapping labels The rename() method allows you to relabel an axis based on some mapping (a dict or Series) or an arbitrary function. In [244]: s

the values the new names to update the corresponding names. The mapping should not be restricted to fixed names only, but can be a mapping function as well. For example, converting the column names to lowercase a dictionary to define the mapping {from : to}. Warning: There is also a replace() method available to replace a specific set of characters. However, when having a mapping of multiple values, this would 912123 -0.050390 c 0.695246 1.478369 1.227435 Renaming / mapping labels The rename() method allows you to relabel an axis based on some mapping (a dict or Series) or an arbitrary function. In [244]: s

the values the new names to update the corresponding names. The mapping should not be restricted to fixed names only, but can be a mapping function as well. For example, converting the column names to lowercase a dictionary to define the mapping {from : to}. Warning: There is also a replace() method available to replace a specific set of characters. However, when having a mapping of multiple values, this would 912123 -0.050390 c 0.695246 1.478369 1.227435 Renaming / mapping labels The rename() method allows you to relabel an axis based on some mapping (a dict or Series) or an arbitrary function. In [244]: s

the values the new names to update the corresponding names. The mapping should not be restricted to fixed names only, but can be a mapping function as well. For example, converting the column names to lowercase a dictionary to define the mapping {from : to}. Warning: There is also a replace() method available to replace a specific set of characters. However, when having a mapping of multiple values, this would 912123 -0.050390 c 0.695246 1.478369 1.227435 Renaming / mapping labels The rename() method allows you to relabel an axis based on some mapping (a dict or Series) or an arbitrary function. In [244]: s

the values the new names to update the corresponding names. The mapping should not be restricted to fixed names only, but can be a mapping function as well. For example, converting the column names to lowercase a dictionary to define the mapping {from : to}. Warning: There is also a replace() methods available to replace a specific set of characters. However, when having a mapping of multiple values, this would Python data analysis toolkit, Release 1.0.5 Renaming / mapping labels The rename() method allows you to relabel an axis based on some mapping (a dict or Series) or an arbitrary function. In [240]: s