Creating a zero-filled pandas data frame

Question

What is the best way to create a zero-filled pandas data frame of a given size?

I have used:

zero_data = np.zeros(shape=(len(data),len(feature_list)         


        

Answer 1

If you already have a dataframe, this is the fastest way:

In [1]: columns = ["col{}".format(i) for i in range(10)]
In [2]: orig_df = pd.DataFrame(np.ones((10, 10)), columns=columns)
In [3]: %timeit d = pd.DataFrame(np.zeros_like(orig_df), index=orig_df.index, columns=orig_df.columns)
10000 loops, best of 3: 60.2 µs per loop

Compare to:

In [4]: %timeit d = pd.DataFrame(0, index = np.arange(10), columns=columns)
10000 loops, best of 3: 110 µs per loop

In [5]: temp = np.zeros((10, 10))
In [6]: %timeit d = pd.DataFrame(temp, columns=columns)
10000 loops, best of 3: 95.7 µs per loop