#Subplot title plt how to

By following the steps outlined in this article, you can easily add titles to subplots in Matplotlib using Python. In conclusion, adding titles to the subplots in Matplotlib can be useful for providing more clarity and context to the viewer, to add a title to a subplot we have used two methods or functions that are available in the matplotlib library. T_obj: is a text object such as a label or title.Įxample 2 # importing all the important packagesĪ.t_text('exponential graph') When adding a title to a plot or a subplot, the set_text() function is usually used with the get_title() function, which is a method of the Axes class and is used to get the title object for the current subplot. The set_text() function can be used to dynamically alter the text of a title or other text object in response to data or user input changes. The Matplotlib set_text() function is a text class function used to set the text of a title or other text object in a subplot or plot. # create array data using whuich we will plot the graph Pad − It is the padding between the title and the top of the plot.Įxample 1 # importing all the important packages Common arguments that we can pass our ‘center’,’ left’,’ right’, etc. Loc − It is a string or integer that specifies the location of the title. Label (values: str) − It defines the text that we want to use as a title for the subplot.įont_dict − font_dict is a dictionary of font properties to apply to the title text.

Syntax t_title(label,font_dict=None,Loc=None,pad=None,*,y=None) The set_title() function is present in the matplotlib library of Python, used to set titles for the plots and subplots.

There are mainly two ways using which we can add titles to subplots, they are − The index starts at 1 and increases row-wise. Index − This parameter specifies the index of the current subplot. Ncolumns − This parameter specifies the number of columns of subplots in the grid. Nrows − This parameter specifies the number of rows of subplots in the grid. Syntax fig,ax=plt.subplots(nrows,ncolumns,index) We can plot our data in each subplot by using these subplot objects. This function returns a figure object and an array of subplot objects. Matplotlib’s “subplots” method lets us create subplots. Each subplot has its own place in the grid, which is based on the number of rows and columns in the grid and where the subplot is in that grid. This makes spotting or identifying trends, patterns, and relationships easier.Ī subplot is a grid of smaller plots that are part of a larger plot. We can compare and analyze multiple sets of data at the same time with the help of subplots.

Subplots in Matplotlib allow multiple plots or charts to be displayed within a single figure. The current figure and plotting area are saved between function calls in matplotlib.pyplot, and the plotting functions are always applied to the active set of axes (please note that the term 'axes' here and throughout the documentation refers to the axes component of a figure and not the mathematical term for more than one axis). Each pyplot function alters a figure in some manner, whether it is by adding a plotting area, plotting lines, adding labels, etc. The matplotlib.pyplot is a collection of command-style methods that allow matplotlib to function similarly to MATLAB. Tkinter, wxPython, Qt, and GTK GUI toolkits may include diagrams utilizing its object-oriented API. Matplotlib is a plotting library for the Python programming language and NumPy, its extension for numerical mathematics.

#Subplot title plt how to

This article will show how to give a subplot a title in Matplotlib. When making more than one subplot, it can be helpful to give each one a title to give the user and the viewer more context and clarity. I'd like to know if there's a straightforward way to just shift the title directly up a few tens of pixels, so that the chart looks prettier.Matplotlib is a Python package that is widely used for the purpose of creating plots, subplots, and visualizations with titles and descriptions. orbit', xy=(Planet.T_day*1.3, r_geo), xytext=(Planet.T_day*1.3, r_geo))Īx.set_ylabel('Orbital radius (km), logarithmic')Īx.set_title('Orbital charts for ' + Planet.N, horizontalalignment='center', verticalalignment='top')Īnd the data is presented fine, but I am having the problem that the figure title is overlapping with the axes labels on the secondary x axis so that it's barely legible (I wanted to post a picture example here, but I don't have a high enough rep yet). sea level', xy=(Planet.T_day*1.3,(Planet.R)/1000), xytext=(Planet.T_day*1.3, Planet.R/1000))Īx.annotate('Geostat. You can simply do: import numpy as np import matplotlib.pyplot as plt x np.arange (0, 7, 0.01) plt.subplot (2, 1, 1) plt.plot (x, np.sin (x)) plt.subplot (2, 2, 3) plt.plot (x, np.cos (x)) plt.subplot (2, 2, 4) plt.plot (x, np.sin (x)np.cos (x)) i.e., the first plot is really a plot in the upper half (the figure is only divided into 2x1 2. I am trying to plot two separate quantities on the same graph using twiny as follows: fig = figure()Īx.plot(T, r, 'b-', T, R, 'r-', T, r_geo, 'g-')Īx.annotate('Approx.