Matplotlib boxplot仅显示圆形散点而非传统样式，如何修复？

Hey there! I see exactly what's going on here—your Matplotlib import is wrong, and that's why you're getting scatter points instead of the boxplot you wanted. Let's fix this step by step.

The Problem #

You've imported Matplotlib like this:

import matplotlib as plt

But the boxplot() function lives in the matplotlib.pyplot submodule, not the top-level matplotlib module. When you call plt.boxplot() with this incorrect import, you're not using the actual boxplot function you need. That's why you're seeing unexpected output instead of the standard box-and-whisker structure.

The Corrected Code #

Just update your import line to the standard pyplot import, and everything will work as intended. Here's the full fixed code:

import matplotlib.pyplot as plt  # This is the right import!
collection_0 = [826, 58, 305, 161, 341, 25, 50, 1303, 1241, 406, 4318, 14330, 62, 45, 17, 809, 2560, 2901, 1988, 1755, 2584, 1924, 218, 13, 140, 156, 591, 109, 17, 563, 242, 23, 156, 179, 85, 59, 78, 55, 57, 27, 33, 62, 499, 685, 1418, 70, 155, 388, 205, 62, 22, 358, 688, 273, 27, 107, 85, 856, 375, 144, 476, 161, 33, 1748, 315, 106, 347, 85, 43, 157, 770, 616, 220, 13, 170, 156, 200, 165, 1211, 138, 163, 61, 78, 140, 318, 1296, 14, 386, 19, 918, 193, 381, 178, 106, 91, 109, 261, 72, 436, 194, 176, 237, 28, 201, 36, 166, 1928, 358, 611, 58, 82, 59, 37, 269, 223, 836, 45, 425, 166, 26, 63, 387, 270, 180, 331, 342, 629, 610, 46, 67, 151, 57, 188, 70, 96, 41, 92, 79, 26, 56, 188, 466, 214, 45, 39, 161, 70, 134, 370, 70, 401, 85, 113, 224, 60, 508, 58, 71, 49, 56, 400, 1308, 22, 124, 74, 63, 56, 84, 144, 26, 29, 33, 20, 241, 25, 17, 25, 45, 37, 100, 93, 175, 27, 308, 134, 28, 203, 195, 161, 168, 364, 102, 66, 53, 57, 195, 30, 55, 108, 110, 75, 42, 531, 25, 17, 156, 24, 29, 303, 77, 36, 184, 67, 15, 92, 124, 206, 51, 87, 83, 23, 134, 64, 50, 99, 451, 144, 265, 228, 96, 357, 39, 14, 91, 46, 110, 75, 18, 30, 93, 61, 31, 203, 226, 92, 162, 415, 30, 48, 86, 51, 79, 130, 181, 17, 64, 57, 168, 153, 72, 57, 34, 234, 18, 30, 72, 98, 44, 114, 58, 23, 54, 24, 126, 37, 28, 73, 8, 38, 86, 214, 46, 34, 63, 79, 72, 111, 37, 499, 382, 76, 589, 72, 139, 108, 301, 63, 158, 17, 12, 103, 337, 65, 17, 56, 32, 27, 14, 224, 33, 40, 55, 60, 76, 18, 24, 56, 99, 135, 23, 50, 102, 74, 114, 29, 24, 50, 84, 33, 316, 52, 38, 112, 61, 10, 22, 17, 71, 22, 99, 51, 84, 34, 32, 18, 91, 240, 29, 141, 121, 67, 40, 303, 78, 86, 48, 149, 102, 57, 42, 88, 137, 133, 89, 88, 70, 31, 24, 73, 7, 53, 46, 156, 17, 133, 85, 103, 70, 26, 145, 26, 112, 81, 37, 27, 98, 14, 84, 26, 31, 43, 42, 19, 38, 32, 35, 92, 168, 53, 175, 25, 30, 48, 84, 98, 57, 62, 32, 38, 75, 11, 33, 29, 38, 48, 52, 244, 303, 135, 10, 52, 12, 43, 78, 34, 50, 51, 49, 68, 68, 53, 18, 50, 64, 17, 27, 17, 21, 12, 46, 29, 35, 31, 93, 93, 25, 20, 18, 18, 43, 61, 29, 16, 40, 28, 26, 15, 30, 41, 67, 75, 53, 64, 105, 15, 35, 41, 22, 54, 20, 38, 31, 21, 105, 23, 37, 12, 29, 38, 16, 16, 21, 57, 66, 83, 44, 43, 14, 28, 48, 51, 17, 21, 16, 7, 34, 50, 23, 14, 18, 23, 32, 91, 29, 31, 23, 9, 14, 17, 15, 43, 16, 17, 20, 11, 16, 7, 13, 11, 49, 42, 13, 23, 18, 28, 38, 23, 10, 32, 9, 34, 16, 18, 9, 23, 16, 12, 65, 31, 37, 16, 9, 34, 8, 12, 22, 55, 17, 30, 13, 25, 27, 14, 7, 78, 19, 11, 41, 54, 22, 27, 8, 18, 22, 6, 29, 16, 35, 27, 8, 10, 7, 51, 9, 23, 12, 9, 6, 15, 16, 8, 7, 14, 12, 10, 14, 17, 10, 13, 18, 8, 7, 9, 10, 10]
collection_1 = [1353, 25, 2430, 1995, 1209, 1291, 564, 68, 1184, 81, 132, 140, 1463, 258, 143, 338, 63, 38, 144, 534, 130, 2742, 392, 157, 301, 193, 620, 2303, 2269, 84, 1464, 148, 593, 191, 102, 1194, 211, 11, 2498, 359, 808, 552, 96, 334, 238, 46, 1771, 536, 160, 195, 318, 193, 684, 280, 249, 19, 235, 15, 144, 2030, 104, 619, 523, 106, 902, 31, 13, 55, 9, 21, 68, 51, 45, 92, 41, 432, 436, 137, 81, 57, 210, 254, 34, 28, 301, 72, 134, 409, 30, 53, 112, 106, 267, 33, 57, 35, 18, 143, 52, 45, 36, 183, 43, 66, 40, 100, 194, 139, 18, 280, 262, 62, 331, 196, 604, 56, 43, 181, 82, 171, 57, 22, 34, 52, 46, 260, 125, 50, 46, 23, 69, 83, 28, 219, 94, 32, 82, 31, 200, 20, 78, 725, 225, 107, 58, 59, 31, 44, 18, 136, 180, 74, 20, 44, 28, 90, 69, 48, 47, 50, 74, 18, 50, 20, 75, 127, 19, 80, 23, 163, 30, 103, 27, 10, 37, 37, 44, 41, 46, 49, 48, 55, 14, 19, 42, 79, 50, 45, 36, 15, 45, 128, 122, 46, 38, 21, 21, 81, 24, 12, 15, 53, 9, 26, 43, 23, 16, 79, 9, 45, 146, 58, 17, 30, 13, 8, 17, 24, 56, 6, 12, 17, 9, 15, 11, 13, 13, 12, 14, 21, 10, 8, 15, 8, 28, 8, 11, 24, 9, 13, 30, 14, 15, 7, 9, 25, 7, 8, 10, 5, 7, 7, 6, 7, 6, 7, 8, 9]
data_to_plot = [collection_0, collection_1]

box = plt.boxplot(data_to_plot, patch_artist=True, labels=["Contracting", "Expanding"])
colors = ['red', 'green']
for patch, color in zip(box['boxes'], colors):
    patch.set_facecolor(color)

plt.ylabel("Unique adopters")
plt.show()

What Changed? #

• The import line now uses matplotlib.pyplot as plt—this is the standard way to import Matplotlib's plotting functions, including boxplot().
• With the correct import, the boxplot() function will draw the full box-and-whisker plot: you'll see the median line, interquartile range boxes, whiskers extending to the non-outlier min/max, and outliers as individual points (which is what you saw before, but now with the proper box structure around them).

内容的提问来源于stack exchange，提问作者Alexandra Bradan