package matplotlib

You can search for identifiers within the package.

in-package search v0.2.0

package matplotlib

matplotlib
- Matplotlib
  - Ax
    
    Expert
  - Ax3d
    
    Expert
  - Fig
    
    Expert
  - Pyplot

Legend:
Library
Module
Module type
Parameter
Class
Class type

val xlim : left:float -> right:float -> unit

val ylim : bottom:float -> top:float -> unit

val xlabel : string -> unit

val ylabel : string -> unit

val grid : bool -> unit

val title : string -> unit

val plot : 
  ?label:string ->
  ?color:Mpl.Color.t ->
  ?linewidth:float ->
  ?linestyle:Mpl.Linestyle.t ->
  ?xs:float array ->
  float array ->
  unit

val semilogy : 
  ?label:string ->
  ?color:Mpl.Color.t ->
  ?linewidth:float ->
  ?linestyle:Mpl.Linestyle.t ->
  ?xs:float array ->
  float array ->
  unit

val semilogx : 
  ?label:string ->
  ?color:Mpl.Color.t ->
  ?linewidth:float ->
  ?linestyle:Mpl.Linestyle.t ->
  ?xs:float array ->
  float array ->
  unit

val loglog : 
  ?label:string ->
  ?color:Mpl.Color.t ->
  ?linewidth:float ->
  ?linestyle:Mpl.Linestyle.t ->
  ?xs:float array ->
  float array ->
  unit

val fill_between : 
  ?color:Mpl.Color.t ->
  ?alpha:float ->
  float array ->
  float array ->
  float array ->
  unit

val hist : 
  ?label:string ->
  ?color:Mpl.Color.t ->
  ?bins:int ->
  ?orientation:[ `horizontal | `vertical ] ->
  ?histtype:[ `bar | `barstacked | `step | `stepfilled ] ->
  ?xs:float array list ->
  float array ->
  unit

val scatter : 
  ?s:float ->
  ?c:Mpl.Color.t ->
  ?marker:char ->
  ?alpha:float ->
  ?linewidths:float ->
  (float * float) array ->
  unit

val imshow : ?cmap:string -> Mpl.Imshow_data.t -> unit

val legend : ?labels:string array -> ?loc:Mpl.Loc.t -> unit -> unit