# determining the first real commit timestamp
first_commit_timestamp = git_log['timestamp'].iloc[-1]

# determining the last sensible commit timestamp
last_commit_timestamp = pd.to_datetime('today')

# filtering out wrong timestamps
corrected_log = git_log[(git_log['timestamp']>=first_commit_timestamp) & (git_log['timestamp']<=last_commit_timestamp)]

# summarizing the corrected timestamp column
# ... YOUR CODE FOR TASK 6 ...
corrected_log['timestamp'].describe()

TypeError Traceback (most recent call last)
in ()
6
7 # filtering out wrong timestamps
----> 8 corrected_log = git_log[(git_log['timestamp']>=first_commit_timestamp) & (git_log['timestamp']<=last_commit_timestamp)]
9
10 # summarizing the corrected timestamp column

/var/lib/python/site-packages/pandas/core/ops.py in wrapper(self, other, axis)
853
854 with np.errstate(all='ignore'):
--> 855 res = na_op(values, other)
856 if isscalar(res):
857 raise TypeError('Could not compare %s type with Series' %

/var/lib/python/site-packages/pandas/core/ops.py in na_op(x, y)
790 try:
791 with np.errstate(all='ignore'):
--> 792 result = getattr(x, name)(y)
793 if result is NotImplemented:
794 raise TypeError("invalid type comparison")

pandas/tslib.pyx in pandas.tslib._Timestamp.richcmp (pandas/tslib.c:19684)()

TypeError: Cannot compare type 'Timestamp' with type 'int'