schemas. • For above reason, if your application builds XML prior to pandas operations, use appropriate DOM libraries like etree and lxml to build the necessary document and not by string concatenation or regex random.RandomState, np.random.Generator, optional] If int, array-like, or BitGenerator, seed for ran- dom number generator. If np.random.RandomState or np.random.Generator, use as given. Changed in version random.RandomState, np.random.Generator, optional] If int, array-like, or BitGenerator, seed for ran- dom number generator. If np.random.RandomState or np.random.Generator, use as given. Changed in version

schemas. • For above reason, if your application builds XML prior to pandas operations, use appropriate DOM libraries like etree and lxml to build the necessary document and not by string concatenation or regex random.RandomState, np.random.Generator, optional] If int, array-like, or BitGenerator, seed for ran- dom number generator. If np.random.RandomState or np.random.Generator, use as given. Changed in version random.RandomState, np.random.Generator, optional] If int, array-like, or BitGenerator, seed for ran- dom number generator. If np.random.RandomState or np.random.Generator, use as given. Changed in version

schemas. • For above reason, if your application builds XML prior to pandas operations, use appropriate DOM libraries like etree and lxml to build the necessary document and not by string concatenation or regex random.RandomState, np.random.Generator, optional] If int, array-like, or BitGenerator, seed for ran- dom number generator. If np.random.RandomState or np.random.Generator, use as given. Changed in version random.RandomState, np.random.Generator, optional] If int, array-like, or BitGenerator, seed for ran- dom number generator. If np.random.RandomState or np.random.Generator, use as given. Changed in version

schemas. • For above reason, if your application builds XML prior to pandas operations, use appropriate DOM libraries like etree and lxml to build the necessary document and not by string concatenation or regex interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. Attributes kind A character code (one of ‘biufcmMOSUV’), default ‘O’ na_value Default interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. ExtensionArrays are limited to 1 dimension. They may be backed by none, one, or many

schemas. • For above reason, if your application builds XML prior to pandas operations, use appropriate DOM libraries like etree and lxml to build the necessary document and not by string concatenation or regex interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. Attributes kind A character code (one of ‘biufcmMOSUV’), default ‘O’ na_value Default interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. ExtensionArrays are limited to 1 dimension. They may be backed by none, one, or many

schemas. • For above reason, if your application builds XML prior to pandas operations, use appropriate DOM libraries like etree and lxml to build the necessary document and not by string concatenation or regex interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. Attributes kind A character code (one of 'biufcmMOSUV'), default 'O' na_value Default interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. ExtensionArrays are limited to 1 dimension. They may be backed by none, one, or many

interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. Attributes kind A character code (one of ‘biufcmMOSUV’), default ‘O’ na_value Default interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. ExtensionArrays are limited to 1 dimension. They may be backed by none, one, or many to have at least Python 3.6.1 installed on your system. Unix/Mac OS with virtualenv # Create a virtual environment # Use an ENV_DIR of your choice. We'll use ~/virtualenvs/pandas-dev # Any parent directories

interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. Attributes kind A character code (one of ‘biufcmMOSUV’), default ‘O’ na_value Default interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. ExtensionArrays are limited to 1 dimension. They may be backed by none, one, or many to have at least Python 3.6.1 installed on your system. Unix/Mac OS with virtualenv # Create a virtual environment # Use an ENV_DIR of your choice. We'll use ~/virtualenvs/pandas-dev # Any parent directories

Series.sample Series.sample(self: ~FrameOrSeries, n=None, frac=None, replace=False, weights=None, ran- dom_state=None, axis=None) → ~FrameOrSeries Return a random sample of items from an axis of object. You interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. Attributes kind A character code (one of ‘biufcmMOSUV’), default ‘O’ na_value Default interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. ExtensionArrays are limited to 1 dimension. They may be backed by none, one, or many

interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. Attributes kind A character code (one of ‘biufcmMOSUV’), default ‘O’ na_value Default interface raise pandas.errors.AbstractMethodError and no register method is provided for registering virtual subclasses. ExtensionArrays are limited to 1 dimension. They may be backed by none, one, or many to have at least Python 3.6.1 installed on your system. Unix/macOS with virtualenv # Create a virtual environment # Use an ENV_DIR of your choice. We'll use ~/virtualenvs/pandas-dev # Any parent directories