I want to write the output on multiple columns of the file in python. My code generate the output in two lines. code is
f2 = open("C:/Python26/Semantics.txt",'w')
sem = ["cells", "gene","factor","alpha", "receptor", "t","promoter"]
with open("C:/Python26/trigram.txt") as f :
for x in f:
x = x.strip().split("$")
f2.write(" ".join(x) + " " + str(len(set(sem) & set(x)))+"\n")
f2.close()
my file looks like this:
IL-2$gene$expression$and
IL-2$gene$expression$and$NF-kappa
IL-2$gene$expression$and$NF-kappa$B
IL-2$gene$expression$and$NF-kappa$B$activation
gene$expression$and$NF-kappa$B$activation$through
expression$and$NF-kappa$B$activation$through$CD28
My current output
IL-2 gene expression and 1
IL-2 gene expression and NF-kappa 1
IL-2 gene expression and NF-kappa B 1
IL-2 gene expression and NF-kappa B activation 1
gene expression and NF-kappa B activation through 1
expression and NF-kappa B activation through CD28 0
My desired output
Token cells gene factor……. promoter
IL-2 gene expression and 0 1 0 ……… 0
IL-2 gene expression and NF-kappa 0 1 0 ……… 0
IL-2 gene expression and NF-kappa B 0 1 0 ……… 0
IL-2 gene expression and NF-kappa B activation 0 1 0 ……… 0
gene expression and NF-kappa B activation through 0 1 0 ……… 0
expression and NF-kappa B activation through CD28 0 0 0 ……… 0
i think there will required a little bit change in code I think so that it will be solved by nested loop. but how, i dont know. My code for doing so is below which not working
sem = ["cells", "b","expression", "cell", "gene","factor","activation","protein","activity","transcription","alpha","receptor","t","promotor","mrna","site","kinase","nfkappa","human"];
f2 = open("C:/Python26/Semantics.txt",'w')
with open("C:/Python26/trigram.txt") as file :
for s in sem:
for lines in file:
lines = lines.strip().split("$")
if s==lines:
f2.write(" ".join(lines) + "\t" +str(len(set(sem) & set(lines)))+"\n")
f2.write("\n")
f2.close()
DataFrame is a 2-dimensional labeled data structure with columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dict of Series objects.
You can create your DataFrame object, then convert it to a string and write()
that string to your file.
import pandas
col_labels = ['Token', 'cells', 'gene']
row_labels = ['x', 'y', 'z']
values_array = [[1, 2, 3],
[10, 20, 30],
[100, 200, 300]]
df = pandas.DataFrame(values_array, col_labels, row_labels)
print(df)
Output :
x y z
Token 1 2 3
cells 10 20 30
gene 100 200 300
To save it, convert the object to a string first:
db_as_str = df.to_string()
with open('my_text_file.txt', 'w') as f:
f.write(db_as_str)
or save it as is, in csv:
db.to_csv('my_text_file.txt')
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