While reading a csv file with numpy, you want to automatically fill missing values of column “Date_Of_Joining” with date “01/01/2010”Name Age Date_Of_Joining Total_ExperienceAndy 20 01/02/2013 0Mandy 30 01/05/2014 10Sandy 10 0Bandy 40 01/10/2009 20Which command will be appropriate to fill missing value while reading the file with numpy? Note: numpy has been imported as npfilling_values = (“-“, 0, 01/01/2010, 0)temp = np.genfromtxt(filename, filling_values=filling_values)filling_values = (“-“, 0, 01/01/2010, 0)temp = np.loadtxt(filename, filling_values=filling_values)filling_values = (“-“, 0, 01/01/2010, 0)temp = np.gentxt(filename, filling_values=filling_values)None of these
Question
While reading a csv file with numpy, you want to automatically fill missing values of column “Date_Of_Joining” with date “01/01/2010”Name Age Date_Of_Joining Total_ExperienceAndy 20 01/02/2013 0Mandy 30 01/05/2014 10Sandy 10 0Bandy 40 01/10/2009 20Which command will be appropriate to fill missing value while reading the file with numpy? Note: numpy has been imported as npfilling_values = (“-“, 0, 01/01/2010, 0)temp = np.genfromtxt(filename, filling_values=filling_values)filling_values = (“-“, 0, 01/01/2010, 0)temp = np.loadtxt(filename, filling_values=filling_values)filling_values = (“-“, 0, 01/01/2010, 0)temp = np.gentxt(filename, filling_values=filling_values)None of these
Solution
The correct command to fill missing values while reading the file with numpy is:
filling_values = (“-“, 0, "01/01/2010", 0) temp = np.genfromtxt(filename, filling_values=filling_values)
The function np.genfromtxt() is used to load data from a text file, with the filename specified as the first argument. The filling_values argument is used to specify the values that should be used to replace missing values in the data. In this case, the missing values in the "Date_Of_Joining" column will be replaced with the date "01/01/2010".
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