The right way to do it, saving from reinventing the wheel, would be to use the .boxplot()
in pandas
, where the nan
handled correctly:
In [31]:
print df
A B C D E F
0 0.43 0.52 0.96 1.17 1.17 2.85
1 0.43 0.52 1.17 2.72 2.75 2.94
2 0.43 0.53 1.48 2.85 2.83 NaN
3 0.47 0.59 1.58 NaN 3.14 NaN
4 0.49 0.80 NaN NaN NaN NaN
[5 rows x 6 columns]
In [32]:
_=plt.boxplot(df.values)
_=plt.xticks(range(1,7),labels)
plt.savefig('1.png') #keeping the nan's and plot by plt
In [33]:
_=df.boxplot()
plt.savefig('2.png') #keeping the nan's and plot by pandas
In [34]:
_=plt.boxplot(df.dropna().values)
_=plt.xticks(range(1,7),labels)
plt.savefig('3.png') #dropping the nan's and plot by plt