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from
__future__
import
print_function
from
plotly
.
graph_objs
import
graph_objs_tools
from
plotly
.
graph_reference
import
ARRAYS
,
CLASSES
FLAG
=
'# AUTO-GENERATED BELOW. DO NOT EDIT! See makefile.'
def
get_non_generated_file_lines
():
"""
Copy each line up to our special FLAG line and return.
:raises: (ValueError) If the FLAG isn't found.
:return: (list) The lines we're copying.
"""
lines_to_copy
=
[]
flag_found
=
False
with
open
(
'./plotly/graph_objs/graph_objs.py'
,
'r'
)
as
f
:
for
line_to_copy
in
f
:
if
line_to_copy
.
startswith
(
FLAG
):
flag_found
=
True
break
lines_to_copy
.
append
(
line_to_copy
)
if
not
flag_found
:
raise
ValueError
(
'Failed to find flag:
\n
"{}"
\n
in graph_objs_tools.py.'
.
format
(
FLAG
)
)
return
lines_to_copy
def
print_figure_patch
(
f
):
"""Print a patch to our Figure object into the given open file."""
print
(
'''
def __init__(self, *args, **kwargs):
super(Figure, self).__init__(*args, **kwargs)
if 'data' not in self:
self.data = Data(_parent=self, _parent_key='data')
def get_data(self, flatten=False):
"""
Returns the JSON for the plot with non-data elements stripped.
Flattening may increase the utility of the result.
:param (bool) flatten: {'a': {'b': ''}} --> {'a.b': ''}
:returns: (dict|list) Depending on (flat|unflat)
"""
return self.data.get_data(flatten=flatten)
def to_dataframe(self):
"""
Create a dataframe with trace names and keys as column names.
:return: (DataFrame)
"""
data = self.get_data(flatten=True)
from pandas import DataFrame, Series
return DataFrame(
dict([(k, Series(v)) for k, v in data.items()]))
def print_grid(self):
"""
Print a visual layout of the figure's axes arrangement.
This is only valid for figures that are created
with plotly.tools.make_subplots.
"""
try:
grid_str = self.__dict__['_grid_str']
except AttributeError:
raise Exception("Use plotly.tools.make_subplots "
"to create a subplot grid.")
print(grid_str)
def append_trace(self, trace, row, col):
"""
Add a trace to your figure bound to axes at the row, col index.
The row, col index is generated from figures created with
plotly.tools.make_subplots and can be viewed with
Figure.print_grid.
:param (dict) trace: The data trace to be bound.
:param (int) row: Subplot row index (see Figure.print_grid).
:param (int) col: Subplot column index (see Figure.print_grid).
Example:
# stack two subplots vertically
fig = tools.make_subplots(rows=2)
This is the format of your plot grid:
[ (1,1) x1,y1 ]
[ (2,1) x2,y2 ]
fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2]), 1, 1)
fig.append_trace(Scatter(x=[1,2,3], y=[2,1,2]), 2, 1)
"""
try:
grid_ref = self._grid_ref
except AttributeError:
raise Exception("In order to use Figure.append_trace, "
"you must first use "
"plotly.tools.make_subplots "
"to create a subplot grid.")
if row <= 0:
raise Exception("Row value is out of range. "
"Note: the starting cell is (1, 1)")
if col <= 0:
raise Exception("Col value is out of range. "
"Note: the starting cell is (1, 1)")
try:
ref = grid_ref[row-1][col-1]
except IndexError:
raise Exception("The (row, col) pair sent is out of "
"range. Use Figure.print_grid to view the "
"subplot grid. ")
if 'scene' in ref[0]:
trace['scene'] = ref[0]
if ref[0] not in self['layout']:
raise Exception("Something went wrong. "
"The scene object for ({r},{c}) "
"subplot cell "
"got deleted.".format(r=row, c=col))
else:
xaxis_key = "xaxis{ref}".format(ref=ref[0][1:])
yaxis_key = "yaxis{ref}".format(ref=ref[1][1:])
if (xaxis_key not in self['layout']
or yaxis_key not in self['layout']):
raise Exception("Something went wrong. "
"An axis object for ({r},{c}) subplot "
"cell got deleted."
.format(r=row, c=col))
trace['xaxis'] = ref[0]
trace['yaxis'] = ref[1]
self['data'] += [trace]
'''
,
file
=
f
,
end
=
''
)
def
print_data_patch
(
f
):
"""Print a patch to our Data object into the given open file."""
print
(
'''
def _value_to_graph_object(self, index, value, _raise=True):
if not isinstance(value, dict):
if _raise:
notes = ['Entry should subclass dict.']
path = self._get_path() + (index, )
raise exceptions.PlotlyListEntryError(self, path,
notes=notes)
else:
return
item = value.get('type', 'scatter')
if item not in graph_reference.ARRAYS['data']['items']:
if _raise:
path = self._get_path() + (0, )
raise exceptions.PlotlyDataTypeError(self, path)
return GraphObjectFactory.create(item, _raise=_raise,
_parent=self,
_parent_key=index, **value)
def get_data(self, flatten=False):
"""
Returns the JSON for the plot with non-data elements stripped.
:param (bool) flatten: {'a': {'b': ''}} --> {'a.b': ''}
:returns: (dict|list) Depending on (flat|unflat)
"""
if flatten:
data = [v.get_data(flatten=flatten) for v in self]
d = {}
taken_names = []
for i, trace in enumerate(data):
# we want to give the traces helpful names
# however, we need to be sure they're unique too...
trace_name = trace.pop('name', 'trace_{0}'.format(i))
if trace_name in taken_names:
j = 1
new_trace_name = "{0}_{1}".format(trace_name, j)
while new_trace_name in taken_names:
new_trace_name = (
"{0}_{1}".format(trace_name, j)
)
j += 1
trace_name = new_trace_name
taken_names.append(trace_name)
# finish up the dot-concatenation
for k, v in trace.items():
key = "{0}.{1}".format(trace_name, k)
d[key] = v
return d
else:
return super(Data, self).get_data(flatten=flatten)
'''
,
file
=
f
,
end
=
''
)
def
print_frames_patch
(
f
):
"""Print a patch to our Frames object into the given open file."""
print
(
'''
def _value_to_graph_object(self, index, value, _raise=True):
if isinstance(value, six.string_types):
return value
return super(Frames, self)._value_to_graph_object(index, value,
_raise=_raise)
def to_string(self, level=0, indent=4, eol='
\\
n',
pretty=True, max_chars=80):
"""Get formatted string by calling `to_string` on children items."""
if not len(self):
return "{name}()".format(name=self._get_class_name())
string = "{name}([{eol}{indent}".format(
name=self._get_class_name(),
eol=eol,
indent=' ' * indent * (level + 1))
for index, entry in enumerate(self):
if isinstance(entry, six.string_types):
string += repr(entry)
else:
string += entry.to_string(level=level+1,
indent=indent,
eol=eol,
pretty=pretty,
max_chars=max_chars)
if index < len(self) - 1:
string += ",{eol}{indent}".format(
eol=eol,
indent=' ' * indent * (level + 1))
string += (
"{eol}{indent}])").format(eol=eol, indent=' ' * indent * level)
return string
'''
,
file
=
f
,
end
=
''
)
def
print_class
(
name
,
f
):
class_dict
=
CLASSES
[
name
]
print
(
'
\n
'
,
file
=
f
)
object_name
=
class_dict
[
'object_name'
]
base_type
=
class_dict
[
'base_type'
]
# This is for backwards compat (e.g., Trace) and future changes.
if
object_name
is
None
:
print
(
'class {}({}):'
.
format
(
name
,
base_type
.
__name__
),
file
=
f
)
print
(
' pass'
,
file
=
f
)
return
doc
=
graph_objs_tools
.
get_help
(
object_name
)
if
object_name
in
ARRAYS
:
base_name
=
'PlotlyList'
else
:
base_name
=
'PlotlyDict'
print
(
'class {}({}):'
.
format
(
name
,
base_name
),
file
=
f
)
doc_lines
=
doc
.
splitlines
()
print
(
' """'
,
file
=
f
)
for
doc_line
in
doc_lines
:
print
(
' '
+
doc_line
,
file
=
f
)
print
(
'
\n
"""'
,
file
=
f
)
print
(
" _name = '{}'"
.
format
(
object_name
),
file
=
f
)
if
name
==
'Figure'
:
print_figure_patch
(
f
)
elif
name
==
'Data'
:
print_data_patch
(
f
)
elif
name
==
'Frames'
:
print_frames_patch
(
f
)
copied_lines
=
get_non_generated_file_lines
()
with
open
(
'./plotly/graph_objs/graph_objs.py'
,
'w'
)
as
graph_objs_file
:
# Keep things *exactly* as they were above our special FLAG.
for
line
in
copied_lines
:
print
(
line
,
file
=
graph_objs_file
,
end
=
''
)
print
(
FLAG
,
file
=
graph_objs_file
)
# For each object in the plot schema, generate a class in the file.
class_names
=
list
(
CLASSES
.
keys
())
class_names
.
sort
()
for
class_name
in
class_names
:
print_class
(
class_name
,
graph_objs_file
)
# Finish off the file by only exporting plot-schema names.
print
(
'
\n
__all__ = [cls for cls in graph_reference.CLASSES.keys() '
'if cls in globals()]'
,
file
=
graph_objs_file
)
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