package matplotlib

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type t
val set_title : t -> string -> unit
val set_xlim : t -> left:float -> right:float -> unit
val set_ylim : t -> bottom:float -> top:float -> unit
val set_xlabel : t -> string -> unit
val set_ylabel : t -> string -> unit
val set_aspect : t -> aspect:[ `auto | `equal | `f of float ] -> unit
val grid : t -> ?which:[ `major | `minor | `both ] -> ?axis:[ `both | `x | `y ] -> bool -> unit
val legend : ?loc: [ `best | `upper_right | `upper_left | `lower_left | `lower_right | `right | `center_left | `center_right | `lower_center | `upper_center | `center ] -> t -> unit
val plot : t -> ?label:string -> ?color:Mpl.Color.t -> ?linewidth:float -> ?linestyle:Mpl.Linestyle.t -> ?xs:float array -> float array -> unit
val hist : t -> ?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 : t -> ?s:float -> ?c:Mpl.Color.t -> ?marker:char -> ?alpha:float -> ?linewidths:float -> (float * float) array -> unit
val imshow : t -> ?cmap:string -> Mpl.Imshow_data.t -> unit
module Expert : sig ... end
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