python_seaborn_labelled_scatter.py

import seaborn as sns
import pandas as pd
import matplotlib.pyplot as pl

df = pd.DataFrame()
df["name"] = ["Protocol Buffers",
              "Flat Buffers",
              "Apache Avro",
              "Apache Thrift",
              "BSON"]
df["Message Size (kB)"] = [961, 3128, 1159, 1158, 6034]
df["Encode + Decode Time (ms)"] = [5.296, 1.961, 7.506, 6.548, 22.471]

p = sns.lmplot("Message Size (kB)", "Encode + Decode Time (ms)",
           data=df,
           fit_reg=False,
           #hue="dataset",
           scatter_kws={"marker": "D",
                        "s": 50})

for datapoint in df.get_values():
    p.fig.text(datapoint[1]/(6034*1.45)+0.148, datapoint[2]/(22.471*1.345)+0.113, datapoint[0], ha='left', fontsize=10)

pl.show()