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POcreate numpy NAN from pandas DataFrame
 

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  1. POcreate numpy NAN from pandas DataFrame
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    <p>Saw the following example to illustrate how to create NAN through DataFrame.</p> <pre><code>import pandas as pd import numpy as np import math import copy import QSTK.qstkutil.qsdateutil as du import datetime as dt import QSTK.qstkutil.DataAccess as da import QSTK.qstkutil.tsutil as tsu import QSTK.qstkstudy.EventProfiler as ep """ Accepts a list of symbols along with start and end date Returns the Event Matrix which is a pandas Datamatrix Event matrix has the following structure : |IBM |GOOG|XOM |MSFT| GS | JP | (d1)|nan |nan | 1 |nan |nan | 1 | (d2)|nan | 1 |nan |nan |nan |nan | (d3)| 1 |nan | 1 |nan | 1 |nan | (d4)|nan | 1 |nan | 1 |nan |nan | ................................... ................................... Also, d1 = start date nan = no information about any event. 1 = status bit(positively confirms the event occurence) """ def find_events(ls_symbols, d_data): ''' Finding the event dataframe ''' df_close = d_data['actual_close'] ts_market = df_close['SPY'] print "Finding Events" # Creating an empty dataframe df_events = copy.deepcopy(df_close) # type &lt;class 'pandas.core.frame.DataFrame'&gt; df_events = df_events * np.NAN # &lt;&lt; why it works here </code></pre> <p>Try to duplicate the method as follows:</p> <pre><code>import numpy as np import pandas as pd from pandas import Series, DataFrame data = {'state': ['Ohio', 'Ohio', 'Ohio', 'Nevada', 'Nevada'], 'year': [2000, 2001, 2002, 2001, 2002], 'pop': [1.5, 1.7, 3.6, 2.4, 2.9]} frame = DataFrame(data) frame = frame * np.NAN # TypeError: can't multiply sequence by non-int of type 'float' </code></pre> <p>Q> Why it doesn't work here now?</p>
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