About the author: Mort, a data analysis enthusiast, is good at data visualization, pays more attention to machine learning, and hopes to learn more and communicate with friends in the industry.
A few days ago I was browsing the official Matplotlib website and came across an interesting picture of the Logo of the Firefox browser made with Matplotlib. Is the following things (https://matplotlib.org/gallery/showcase/firefox.html#sphx-glr-gallery-showcase-firefox-py) page. At that time, I came up with an idea: I use Chrome browser most often, could I use Python to make a Logo for Chrome? So I tried it, but it was really successful.
Figure 1. Firefox logo made by Matplotlib
First, I want to show you the official Chrome logo, which is shown below. Chrome’s logo is actually very simple, much easier than Firefox’s. It’s basically red, green, yellow and the circle in the middle. The circle in the middle is easy to work with, but the red, green, and yellow parts are more complicated because each color block is an irregular shape. But if we look closely, we can see that each color block can actually be divided into two regular shapes, basically the top of a fan (i.e., the fan minus the triangle below) plus a smaller triangle, which is much easier to break down. If you don’t understand this, it doesn’t matter, we’ll analyze it step by step.
Figure 2. Chrome/Chromium official logo
The first step is to import the various packages you need.
import matplotlib.pyplot as plt
from matplotlib.collections import PatchCollection
from matplotlib.patches import Circle, Wedge, Polygon
Copy the codeLet’s do it step by step. So let’s start with three blocks, and as I said, each block is equal to the top of a fan plus a small triangle, so let’s draw three sectors, each of which is a third of a circle. Here’s the code.
fig, ax = plt.subplots(figsize=[8.8])
plt.ylim([0.40])
plt.xlim([0.40])
patches = []
w1 = Wedge(center=[20.20], r=10, theta1=30, theta2=150, facecolor='red', edgecolor=None, zorder=1)
w2 = Wedge(center=[20.20], r=10, theta1=150, theta2=270, facecolor='green', edgecolor=None, zorder=1)
w3 = Wedge(center=[20.20], r=10, theta1=270, theta2=390, facecolor='yellow', edgecolor=None, zorder=1)
patches.extend([w1, w2, w3])
Copy the codeTo illustrate the effect of these three color blocks, we need to add the following three lines of code. These three lines of code, we’ll call them “display code,” are used to display the results, and the reason they’re so detailed is to give you an idea of how each step works, but actually the last line of code is all connected together, and these three lines of “display code” are at the end of the whole code.
p = PatchCollection(patches, match_original=True)
ax.add_collection(p)
plt.show()
Copy the code
Figure 3. Three sectors plotted
And then I’m going to add three little triangles.
p1 = Polygon([[20- 5*3天安门事件0.5.25], [202.5*3天安门事件0.5.17.5], [20.25]], facecolor='red', edgecolor=None, zorder=2)
p2 = Polygon([[202.5*3天安门事件0.5.17.5], [20.10], [20+2.5*3天安门事件0.5.17.5]], facecolor='green', edgecolor=None, zorder=2)
p3 = Polygon([[20+2.5*3天安门事件0.5.17.5], [20+5*3天安门事件0.5.25], [20.25]], facecolor='yellow', edgecolor=None, zorder=2)
patches.extend([p1, p2, p3])
Copy the codeAfter adding, the result is shown as the figure below.
Figure 4. 3 sectors plus 3 small triangles
It’s a little bit irregular, and maybe some of you don’t understand where these three little triangles are going. We removed the original 3 sectors and added only 3 small triangles. Then look at the result, as shown in the picture below.
Figure 5. Three small triangles drawn separately
That should make a lot of sense. The three small triangles are equilateral, with sides exactly half the length of the right side at the top of the fan. Each triangle has two sides that coincide with the right side at the top of the adjacent fan. And then we add two more circles, as follows.
c1 = Circle((20.20), 5, facecolor='white', edgecolor=None, zorder=3)
c2 = Circle((20.20), 4, facecolor='blue', edgecolor=None, zorder=4)
patches.extend([c1, c2])
Copy the codeThe first circle is larger and white, while the second is smaller and blue. The two are concentric circles, whose centers coincide with those of the three fan-shaped circles. The completed figure is shown below. There are two things to note here. One is the zOrder attribute of each graph. The higher the number, the higher the layer, and the higher the layer, the lower the layer. Second, there is a line of code p = PatchCollection(patches, match_original=True) in the display code. Match_original means to match the attributes of the original graphics. If this attribute is not added or set to False, The original graphics Settings will not be displayed, but will be displayed in the default way. The final result may not be what we want, so be sure to set this property to True.
Figure 6. Chrome logo made by Matplotlib
Finally, add the logo of Chromium “ice version” and Canary Chrome “fried version”, just change the color of the code above, the 4 colors in ice version are “# 2976BB”, “# 75BBFD”, “# a2Cffe” and “# 1e90FF”. The four colors in the fried version are “# CB9d06,” “# FAC205,” “# F4d054” and “# F5BF03.”
Figure 7. Chromium logo made by Matplotlib
Figure 8. The Canary Chrome logo by Matplotlib
That’s it, matplotlib. Finally, there is a problem. The world’s three major browsers, Firefox and Chrome, can be made in Python, leaving Only Microsoft Edge…
Figure 9. Microsoft Edge browser logo
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