Created
October 3, 2022 19:57
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code to create warming stripes
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anomaly = df["Annual Mean"] | |
fig = plt.figure(figsize = (10, 1.5)) | |
ax = fig.add_axes([0, 0, 1, 1]) | |
#turn the x and y-axis off | |
ax.set_axis_off() | |
#create a collection with a rectangle for each year | |
col = PatchCollection([ | |
Rectangle((y, -1), #xy | |
1, #width | |
2 #height | |
) for y in np.arange(1880, 2022)]) | |
#use the anomaly data for colormap | |
col.set_array(anomaly) | |
#apply the colormap colors | |
cmap = plt.get_cmap("coolwarm") | |
col.set_cmap(cmap) | |
ax.add_collection(col) | |
#average global temperature line | |
df.plot(ax = ax, linestyle = "-", color = "white", legend = False) | |
ax.axhline(0, linestyle = "--", color = "white") | |
#add title and text | |
ax.set_title("Warming Stripes (1880-2021)", loc = "center", y = 0.75) | |
ax.text(x = 1880, y = -1, s = "1880") | |
ax.text(x = 2022, y = -1, s = "2021") | |
ax.set_ylim(-1, 2) | |
ax.set_xlim(1870, 2030) | |
fig.savefig("../output/warming_stripes.jpeg",dpi = 300) |
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