%pylab inline
import matplotlib.pylab as pylab
import pandas as pd
import StringIO
import matplotlib.pylab as plt
import numpy as np
pylab.rcParams['figure.figsize'] = 8, 8  # that's default image size for this interactive session
pd.options.display.width = 200
from datetime import datetime, timedelta

df = pd.read_fwf('wc.log', colspecs=[(0,14),(15,173)], header=None, parse_dates=[0])
df[0] = pd.to_datetime(df[0])
df

# calls taking more than 1 second

idxs = (df[0].diff() > np.timedelta64(1,'s')).values
df.iloc[idxs.nonzero()[0] - 1]

# overall time
print df[0].max()-df[0].min()

df[0].plot()
plt.title('Calls vs timestamp')
plt.ylabel('time (s)')
# y axis max is 35 seconds