how to convert array in series to normal number in python

Question

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I wish to extract the number of days only from the recency column

and i converted it to string and after split function extracted first part a["recency"].str[:1]

But now the issue is I am unable to work on this series as its not accepted as int and not letting me convert it to a number series or any series as I am getting errors after splitting data. error:

when I try to convert to int ValueError: setting an array element with a sequence .

And if i try to map to int and use it at series TypeError: object of type 'map' has no len()

some help would be great as I am still new to this.

Answer 1

First make sure that your data has no null values.

For removing null values you can use

a.dropna(inplace=True)

Assuming a is your dataframe

Now extract the first word from each row of recency column into elements variable

elements=a["recency"]
elements=[element.split(" ")[0] for element in elements]

Finally append all the numbers into the list

nums=[]
error_in_datas=[]
for x in range(len(elements)):
  if elements[x].isdigit():
    nums.append(int(elements[x]))
  else:
    error_in_datas.append(x)
print(nums)
print(error_in_datas)

nums is the list of your days and error_in_datas contains list of indexes that has no digits in the first place of your data as you wanted