The
bold
aesthetics are required.
Options for computed aesthetics
Calculated aesthetics are accessed using the
after_stat
function. e.g.
after_stat(
'ymin'
)
.
data
:
DataFrame
=
None
The data to be displayed in this layer. If
None
, the data from from the
ggplot()
call is used. If specified, it overrides the data from the
ggplot()
call.
geom
:
str
|
geom
=
"pointrange"
The statistical transformation to use on the data for this layer. If it is a string, it must be the registered and known to Plotnine.
position
:
str
|
position
=
"identity"
Position adjustment. If it is a string, it must be registered and known to Plotnine.
na_rm
:
bool
=
False
If
False
, removes missing values with a warning. If
True
silently removes missing values.
fun_data
:
str
|
callable
=
"mean_cl_boot"
If string, it should be one of:
or any function that takes a array and returns a dataframe with three columns named
y
,
ymin
and
ymax
.
fun_y
:
callable
=
None
Any function that takes a array_like and returns a value
fun_ymin
:
callable
=
None
Any function that takes an array_like and returns a value
fun_ymax
:
callable
=
None
Any function that takes an array_like and returns a value
fun_args
:
dict
=
None
Arguments to any of the functions. Provided the names of the arguments of the different functions are in not conflict, the arguments will be assigned to the right functions. If there is a conflict, create a wrapper function that resolves the ambiguity in the argument names.
random_state
:
int
|
RandomState
=
None
Seed or Random number generator to use. If
None
, then numpy global generator
numpy.random
is used.
**kwargs
:
Any
=
{}
Aesthetics or parameters used by the
geom
.
Notes
If any of
fun_y
,
fun_ymin
or
fun_ymax
are provided, the value of
fun_data
will be ignored.
See Also
geom_pointrange
