mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects • Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can Accessing the array can be useful when you need to do some operation without the index (to disable automatic alignment, for example). Series.array will always be an ExtensionArray. Briefly, an ExtensionArray it begins with 'timestamp' • it is 'modified' • it is 'date' Warning: When reading JSON data, automatic coercing into dtypes has some quirks: • an index can be reconstructed in a different order from

Consistency of Range Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 1.2.2.13 No Automatic Matplotlib Converters . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.2.2.14 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 776 16.9.1 Automatic exclusion of “nuisance” columns . . . . . . . . . . . . . . . . . . . . . . . . . . 776 16.9.2 Suppressing Tick Resolution Adjustment . . . . . . . . . . . . . . . . . . . . . . . . . . . 995 22.5.7 Automatic Date Tick Adjustment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 998 22.5.8

mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects • Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can Accessing the array can be useful when you need to do some operation without the index (to disable automatic alignment, for example). Series.array will always be an ExtensionArray. Briefly, an ExtensionArray it begins with 'timestamp' • it is 'modified' • it is 'date' Warning: When reading JSON data, automatic coercing into dtypes has some quirks: • an index can be reconstructed in a different order from

mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects • Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can Accessing the array can be useful when you need to do some operation without the index (to disable automatic alignment, for example). Series.array will always be an ExtensionArray. Briefly, an ExtensionArray it begins with 'timestamp' • it is 'modified' • it is 'date' Warning: When reading JSON data, automatic coercing into dtypes has some quirks: • an index can be reconstructed in a different order from

mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects • Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can Accessing the array can be useful when you need to do some operation without the index (to disable automatic alignment, for example). Series.array will always be an ExtensionArray. Briefly, an ExtensionArray it begins with 'timestamp' • it is 'modified' • it is 'date' Warning: When reading JSON data, automatic coercing into dtypes has some quirks: • an index can be reconstructed in a different order from

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 746 16.9.1 Automatic exclusion of “nuisance” columns . . . . . . . . . . . . . . . . . . . . . . . . . . 746 16.9.2 Suppressing Tick Resolution Adjustment . . . . . . . . . . . . . . . . . . . . . . . . . . . 962 22.5.5 Automatic Date Tick Adjustment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 965 22.5.6 mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects • Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can

mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects • Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can Accessing the array can be useful when you need to do some operation without the index (to disable automatic alignment, for example). Series.array will always be an ExtensionArray. Briefly, an ExtensionArray it begins with 'timestamp' • it is 'modified' • it is 'date' Warning: When reading JSON data, automatic coercing into dtypes has some quirks: • an index can be reconstructed in a different order from

mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects • Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can Accessing the array can be useful when you need to do some operation without the index (to disable automatic alignment, for example). Series.array will always be an ExtensionArray. Briefly, an ExtensionArray it begins with 'timestamp' • it is 'modified' • it is 'date' Warning: When reading JSON data, automatic coercing into dtypes has some quirks: • an index can be reconstructed in a different order from

mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects • Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can Accessing the array can be useful when you need to do some operation without the index (to disable automatic alignment, for example). Series.array will always be an ExtensionArray. Briefly, an ExtensionArray it begins with 'timestamp' • it is 'modified' • it is 'date' Warning: When reading JSON data, automatic coercing into dtypes has some quirks: • an index can be reconstructed in a different order from

mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects • Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can Accessing the array can be useful when you need to do some operation without the index (to disable automatic alignment, for example). Series.array will always be an ExtensionArray. Briefly, an ExtensionArray it begins with 'timestamp' • it is 'modified' • it is 'date' Warning: When reading JSON data, automatic coercing into dtypes has some quirks: • an index can be reconstructed in a different order from