Scatter plot matplotlib markers Patch#

set ( title = 'Average Monthly Precipitation Boulder, CO', xlabel = 'Month', ylabel = 'Precipitation (inches)' ) plt. scatter ( months, boulder_monthly_precip, c = boulder_monthly_precip, cmap = 'YlGnBu' ) # Set plot title and axes labelsĪx. The example below uses the YlGnBu colormap, in which lower values are filled in with yellow to green shades, while higher values are filled in with increasingly darker shades of blue.ĭata Tip: To see a list of color map options, visit the matplotlib documentation on colormaps.Īx. boulder_monthly_precip), while cmap allows you to specify the color map to use for the sequence. The c argument allows you to specify the sequence of values that will be color-mapped (e.g. When using scatter plots, you can also assign each point a color based upon its data value using the c and cmap arguments. show () You can adjust the bar fill and edge colors of a bar plot using the arguments color and edgecolor.

bar ( months, boulder_monthly_precip, color = 'cyan', edgecolor = 'darkblue' ) # Set plot title and axes labelsĪx. Visit the Matplotlib documentation for a list of marker types.Īx. You can change the point marker type in your line or scatter plot using the argument marker = and setting it equal to the symbol that you want to use to identify the points in the plot.įor example, ',' will display the point markers as a pixel or box, and “o” will display point markers as a circle. show () You can use plt.setp(ax.get_xticklabels(), rotation 45) to rotate the tick marks along the x axis by 45 degrees. plot ( months, boulder_monthly_precip ) # Set plot title and axes labelsĪx. subplots ( figsize = ( 10, 6 )) # Define x and y axesĪx. If True the points are drawn with the bad colormap color (see t_bad).Fig, ax = plt. Whether to plot points with nonfinite c (i.e. Instead, the color is determined like with 'face', i.e.

Scatter plot matplotlib markers Patch#

'none': No patch boundary will be drawn.įor non-filled markers, edgecolors is ignored.'face': The edge color will always be the same as the face color.edgecolors or color or sequence of color, default: rcParams (default: 'face') linewidthsfloat or array-like, default: rcParams (default: 1.5) The alpha blending value, between 0 (transparent) and 1 (opaque). It is an error to use vmin/ vmax when norm is given. If None, the respective min and max of the color array is used. Vmin and vmax are used in conjunction with the default norm to map the color array c to the colormap cmap. If None, use the default colors.Normalize. If c is an array of floats, norm is used to scale the color data, c, in the range 0 to 1, in order to map into the colormap cmap. cmap is only used if c is an array of floats. cmapstr or Colormap, default: rcParams (default: 'viridis')Ī Colormap instance or registered colormap name. See matplotlib.markers for more information about marker styles. marker can be either an instance of the class or the text shorthand for a particular marker. marker MarkerStyle, default: rcParams (default: 'o') This cycle defaults to rcParams (default: cycler('color', )). In case those are not specified or None, the marker color is determined by the next color of the Axes' current 'shape and fill' color cycle. In that case the marker color is determined by the value of color, facecolor or facecolors. If you wish to specify a single color for all points prefer the color keyword argument.ĭefaults to None.

Otherwise, value- matching will have precedence in case of a size matching with x and y. If you want to specify the same RGB or RGBA value for all points, use a 2D array with a single row. Note that c should not be a single numeric RGB or RGBA sequence because that is indistinguishable from an array of values to be colormapped.

A 2D array in which the rows are RGB or RGBA.

A scalar or sequence of n numbers to be mapped to colors using cmap and norm.

carray-like or list of colors or color, optional sfloat or array-like, shape (n, ), optional Parameters x, yfloat or array-like, shape (n, ) ( x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, *, edgecolors=None, plotnonfinite=False, data=None, **kwargs) Ī scatter plot of y vs.