Graphing Data after Filling Nan Values

[raphillips]

Hi, I'm stuck. I used the following to fill in Nan values:

import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.feature_selection import f_regression
from sklearn.metrics import mean_squared_error, mean_absolute_error
%pylab inline

male = titanic[titanic['sex'] == "male"]
female = titanic[titanic['sex'] == "female"]

male = male.fillna(male.mean())
female = female.fillna(male.mean())

Then I was able to graph the values using the following:
male['age'].hist()
female['age'].hist()

But when I use this method to graph, I am able to graph the male age population but I get an error for the female graph that reads: "KeyError: 0L"

fig = plt.figure()
fig.set_figwidth(20)
fig.set_figheight(8)

ax1 = fig.add_subplot(1,2,1)
ax1.hist(male['age'])
plt.title('Male Age')
plt.xlabel('Age')
plt.ylabel('Number of Occurences')
plt.grid(True)

ax2 = fig.add_subplot(1,2,2)
ax2.hist(female['age'])
plt.title('Female Age')
plt.xlabel('Age')
plt.ylabel('Number of Occurences')
plt.grid(True)

Can you please help!

Additionally, the reason why I'm filling in Nan values is because I couldn't graph the following: plt.hist(titanic['age'])
because I was getting an error message that stated: "AttributeError: max must be larger than min in range parameter."

Thanks!