Hi it's python I imported a data which are so many words in txt and I arranged and reshaped with alphabetically both rows and columns
I was successful with these steps but I am stuck with next step
below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
df_output.index.name="Start"
df_output.columns.name="End"
df_output
This below screen shot is what I have to find
I have to find each word from input data frame (which is txt file) which its start and end character and add the count into the output data frame.
So for example let's say there's adbkqa , it starts with a and ends a so it counts 1 between start a and a end, so add 1 to the current value. another example which starts a and end z is not into the txt so it counts 0 like below screenshot.
Maybe my first step might be wrong (one condition is all data initially in this data frame are zeros) <- I don't get it so
please help me to get a correct answer like below code please help!
the txt file is here
https://drive.google.com/open?id=1VXtEPNBJ6ypJZ62ypeeWtzS9TjcGhBp4
CODE:
import numpy as np
import pandas as pd
data=pd.read_csv('words_file2.txt',header=None)
data.head()
df_output=pd.DataFrame(np.zeros(676,dtype=int).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
df_output.index.name="Start"
df_output.columns.name="End"
df_output
#Here I have mentioned first i[-1] because in DataFrame first
index goes for column
#so we go for End as we mentioned the Row name
for i in data[0]:
df_output[i[-1]][i[0]]+=1
df_output
OUTPUT:
#If you have any queries feel free to comment
Hi it's python I imported a data which are so many words in txt and I arranged and reshaped with ...
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