%matplotlib inline
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
planets = pd.read_csv("planets.csv", sep=',')
sns.set(style="ticks")

f, ax = plt.subplots(figsize=(7, 6))
ax.set_xscale("log")

# Load the example planets dataset
planets = sns.load_dataset("planets")

# replace pl_pnum and st_mass with other column names
sns.boxplot(x="pl_pnum", y="st_mass", data=planets) 

# Add in points to show each observation
sns.swarmplot(x="pl_pnum", y="st_mass", data=planets,
              size=2, color=".3", linewidth=0)
# Tweak the visual presentation

ax.xaxis.grid(True)
ax.set(ylabel="")
sns.despine(trim=True, left=True)


