pulsarbat.PhasePredictor

class pulsarbat.PhasePredictor(data=None, *args, **kwargs)

Pulsar phase predictor.

Parameters

datasequence of PhasePredictorEntry

A list of phase prediction entries. All entries must have the same ‘psr’, ‘obs’, ‘freq’, and ‘span’ values.

__init__(data=None, *args, **kwargs)

Methods

__init__([data])
add_column(col[, index, name, ...])	Add a new column to the table using col as input.
add_columns(cols[, indexes, names, copy, ...])	Add a list of new columns the table using cols data objects.
add_index(colnames[, engine, unique])	Insert a new index among one or more columns.
add_row([vals, mask])	Add a new row to the end of the table.
argsort([keys, kind, reverse])	Return the indices which would sort the table according to one or more key columns.
as_array([keep_byteorder, names])	Return a new copy of the table in the form of a structured np.ndarray or np.ma.MaskedArray object (as appropriate).
convert_bytestring_to_unicode()	Convert bytestring columns (dtype.kind='S') to unicode (dtype.kind='U') using UTF-8 encoding.
convert_unicode_to_bytestring()	Convert unicode columns (dtype.kind='U') to bytestring (dtype.kind='S') using UTF-8 encoding.
copy([copy_data])	Return a copy of the table.
f0(times[, n])	Predict rotation frequency or its derivatives for given times.
field(item)	Return column[item] for recarray compatibility.
filled([fill_value])	Return copy of self, with masked values filled.
from_pandas(dataframe[, index, units])	Create a ~astropy.table.Table from a pandas.DataFrame instance
from_polyco(path)	Create a PhasePredictor instance by reading tempo1-style polycos.
group_by(keys)	Group this table by the specified keys
index_column(name)	Return the positional index of column name.
index_mode(mode)	Return a context manager for an indexing mode.
insert_row(index[, vals, mask])	Add a new row before the given index position in the table.
items()
itercols()	Iterate over the columns of this table.
iterrows(*names)	Iterate over rows of table returning a tuple of values for each row.
keep_columns(names)	Keep only the columns specified (remove the others).
keys()
more([max_lines, max_width, show_name, ...])	Interactively browse table with a paging interface.
pformat([max_lines, max_width, show_name, ...])	Return a list of lines for the formatted string representation of
pformat_all([max_lines, max_width, ...])	Return a list of lines for the formatted string representation of
phasepol(t0)	Phase prediction polynomial centered at given timestamp.
pprint([max_lines, max_width, show_name, ...])	Print a formatted string representation of the table.
pprint_all([max_lines, max_width, ...])	Print a formatted string representation of the entire table.
remove_column(name)	Remove a column from the table.
remove_columns(names)	Remove several columns from the table.
remove_indices(colname)	Remove all indices involving the given column.
remove_row(index)	Remove a row from the table.
remove_rows(row_specifier)	Remove rows from the table.
rename_column(name, new_name)	Rename a column.
rename_columns(names, new_names)	Rename multiple columns.
replace_column(name, col[, copy])	Replace column name with the new col object.
reverse()	Reverse the row order of table rows.
round([decimals])	Round numeric columns in-place to the specified number of decimals.
show_in_browser([max_lines, jsviewer, ...])	Render the table in HTML and show it in a web browser.
show_in_notebook([tableid, css, ...])	Render the table in HTML and show it in the IPython notebook.
sort([keys, kind, reverse])	Sort the table according to one or more keys.
to_pandas([index, use_nullable_int])	Return a pandas.DataFrame instance
update(other[, copy])	Perform a dictionary-style update and merge metadata.
values()
values_equal(other)	Element-wise comparison of table with another table, list, or scalar.

Attributes

ColumnClass
colnames
dtype
groups
has_masked_columns	True if table has any MaskedColumn columns.
has_masked_values	True if column in the table has values which are masked.
has_mixin_columns	True if table has any mixin columns (defined as columns that are not Column subclasses).
iloc	Return a TableILoc object that can be used for retrieving indexed rows in the order they appear in the index.
indices	Return the indices associated with columns of the table as a TableIndices object.
info
intervals	Intervals where the predictor is valid and should be used.
loc	Return a TableLoc object that can be used for retrieving rows by index in a given data range.
loc_indices	Return a TableLocIndices object that can be used for retrieving the row indices corresponding to given table index key value or values.
mask
masked
meta
pprint_exclude_names	Maintain tuple that controls table column visibility for print output.
pprint_include_names	Maintain tuple that controls table column visibility for print output.
read
write