Use 绘图库 http://matplotlib.org用于绘制数据
将数据转换为数字列表(类似数组)并使用scatter()
+ annotate()
from matplotlib.pyplot
.
%matplotlib inline
import random
import sys
import array
import matplotlib.pyplot as plt
test = {1092268: [81, 90], 524292: [80, 80], 892456: [88, 88]}
# repackage data into array-like for matplotlib
# (see a preferred pythonic way below)
data = {"x":[], "y":[], "label":[]}
for label, coord in test.items():
data["x"].append(coord[0])
data["y"].append(coord[1])
data["label"].append(label)
# display scatter plot data
plt.figure(figsize=(10,8))
plt.title('Scatter Plot', fontsize=20)
plt.xlabel('x', fontsize=15)
plt.ylabel('y', fontsize=15)
plt.scatter(data["x"], data["y"], marker = 'o')
# add labels
for label, x, y in zip(data["label"], data["x"], data["y"]):
plt.annotate(label, xy = (x, y))
通过阅读可以使情节变得更漂亮docs http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter并添加更多配置。
Update
纳入@daveydave400 的建议answer https://stackoverflow.com/a/30013971/2087463.
# repackage data into array-like for matplotlib, pythonically
xs,ys = zip(*test.values())
labels = test.keys()
# display
plt.figure(figsize=(10,8))
plt.title('Scatter Plot', fontsize=20)
plt.xlabel('x', fontsize=15)
plt.ylabel('y', fontsize=15)
plt.scatter(xs, ys, marker = 'o')
for label, x, y in zip(labels, xs, ys):
plt.annotate(label, xy = (x, y))