3 Plots In One Figure Python
Data science tools
Apr 28, 2020 Created: April-28, 2020 Updated: December-10, 2020. Use Matplotlib addsubplot in for Loop; Define a Function Based on the Subplots in Matplotlib The core idea for displaying multiple images in a figure is to iterate over the list of axes to plot individual images. Jan 27, 2021 forcing two matplotlib 3d plots to be in one figure January 27, 2021 matplotlib, plane, python How can I make these to be overlapping or be together in one figure (not side by side). Jan 18, 2021 In this example, we used the parametric equation of the circle to plot the figure using matplotlib. For this example, we took the radius of the circle as 0.4 and set the aspect ratio as 1. Method 3: Scatter Plot to plot a circle: A scatter plot is a graphical representation that makes use of dots to represent values of the two numeric values. I need to plot one stacked bar chart and two lines in the same figure. I have 5 columns–year,priority,value,opened and closed. I was able to plot stacked bar chart as shown in the code pasted below. Can anyone help me in plotting two more lines–one with ‘opened’ column w.r.t ‘year’ and other with ‘closed’ w.r.t ‘year’.
pythonmatplotlibseaborn
3 Plots In One Figure Python Tutorial
By Afshine Amidi and Shervine Amidi
General structure
Overview The general structure of the code that is used to plot figures is as follows:
We note that the plt.subplots() command enables to specify the figure size.
3 Plots In One Figure Python Tutorial
Basic plots The main basic plots are summarized in the table below:
| Type | Command and parameters | Illustration |
| Scatter plot | sns.scatterplot( x, y, hue, size) | |
| Line plot | sns.lineplot( x, y, hue, size) | |
| Bar chart Histogram | sns.barplot( x, y, hue) | |
| Box plot | sns.boxplot( x, y, hue) | |
| Heatmap | sns.heatmap( data, cmap, linecolor, linewidth, cbar) |
where the meaning of parameters are summarized in the table below:
| Command | Description | Use case |
hue | Color of a line / point / border | 'red' |
fill | Color of an area | 'red' |
size | Size of a line / point | 4 |
linetype | Shape of a line | 'dashed' |
alpha | Transparency, between 0 and 1 | 0.3 |
Python Plot Multiple Figures
Advanced features
Text annotation Plots can have text annotations with the following commands:
Additional elements We can add objects on the plot with the following commands:
| Type | Command | Illustration |
| Line | ax.axvline( x, ymin, ymax, color, linewidth, linestyle) | |
ax.axhline( y, xmin, xmax, color, linewidth, linestyle) | ||
| Rectangle | ax.axvspan( xmin, xmax, ymin, ymax, color, fill, alpha) |
Last touch
Legend The title of legends can be customized to the plot with the commands summarized below:
| Element | Command |
| Title / subtitle of the plot | ax.set_title('text', loc, pad) |
plt.suptitle('text', x, y, size, ha) | |
| Title of the $x$ / $y$ axis | ax.set_xlabel('text') / ax.set_ylabel('text') |
| Title of the size / color | via ax.get_legend_handles_labels() |
| Caption of the plot | ax.text('text', x, y, fontsize) |
This results in the following plot:
Double axes A plot can have more than one axis with the plt.twinx() command. It is done as follows:
Python Figure Plot
3 Plots In One Figure Python
Figure saving There are two main steps to save a plot:
- Specifying the width and height of the plot when declaring the figure:
- Saving the figure itself: