

As the tick labels are not scaled according to the figure, we use the function _params() to change the text properties of the tick labels like size, color.Setting the x-labels and y-labels with some parameters like weight of the labels is set to 'bold' and fontdict which takes a dictionary to set the text properties of the labels.Setting the title of the graph using the function ().As we have generated the data points, we use () to plot the data on the graph with respective labels and color of the curves.Using trigonometric function, to generate y-axis data points numpy.sin(x) and s(x) store it in list a and b respectively.Using numpy.arange() function to generate a list of evenly spaced numbers between 0 to 2π and store it in the list x.Syntax: For Changing the fontsize of the label We can change its font size by passing the parameter font size in the xlabel() and ylabel() functions. Sometimes labels size is not scaled according to the graph. First, we will discuss the parameter mentioned below. In matplotlib, we can customize the axis label by changing their color, position, size, etc.
#Pyplot scatter axis format how to
How to Customize Axis Labels in Matplotlib It changes the label's size, font, and size. To change the horizontal alignment of the label Spacing in points from the Axes bounding box, including ticks and tick labels.ĭefault value is 'center', which changes the label's position. Set the text of the label.ĭatatype of this parameter is float, and the default value is 4.0. (ylabel, fontdict=None, labelpad=None, *, loc=None, kwargs)ĭatatype of this parameter is a string.

(xlabel, fontdict=None, labelpad=None, *, loc=None, kwargs) Syntax and parameter of X and Y axis label

So, the function required for labels in matplotlib is: () for adding labels on x-axis and () for adding labels on y-axis. So, how do we mention these variables when we plot the graph on matplotlib? Axis labels in matplotlib are used to mention variables on the axis. When we plot data in matplotlib on the X-Y plane, we sometimes need to define the variables on the axes, like a speed-time graph where speed is on the y-axis and time is on the x-axis. For example, in matplotlib's pyplot library, there are two functions: () and () are used to add axis labels in matplotlib which take at least one parameter(string) as a label to the axis. We will discuss all the functions to understand better the concept and which function to use according to the scenario. Using the xlabel() and ylabel() functions, we can add the axis label on a figure and customize the axis labels' text properties. Matplotlib provides the libraries and functions to add axis labels on a figure.
