“how to read text frome another file pythion” Code Answer’s

# Basic syntax:

with open('/path/to/filename.extension', 'open_mode') as filename:

  file_data = filename.readlines()  # Or filename.read() 

# Where:

#   - open imports the file as a file object which then needs to be read

#       with one of the read options

#   - readlines() imports each line of the file as an element in a list

#   - read() imports the file contents as one long new-line-separated 

#       string

#   - open_mode can be one of:

#       - "r" = Read which opens a file for reading (error if the file 

#           doesn't exist)

#       - "a" = Append which opens a file for appending (creates the 

#           file if it doesn't exist)

#       - "w" = Write which opens a file for writing (creates the file 

#           if it doesn't exist)

#       - "x" = Create which creates the specified file (returns an error

#           if the file exists)

# Note, "with open() as" is recommended because the file is closed 

#   automatically so you don't have to remember to use file.close()

​

# Basic syntax for a delimited file with multiple fields:

import csv

with open('/path/to/filename.extension', 'open_mode') as filename:

    file_data = csv.reader(filename, delimiter='delimiter')

    data_as_list = list(file_data)

# Where:

#   - csv.reader can be used for files that use any delimiter, not just

#       commas, e.g.: 't', '|', ';', etc. (It's a bit of a misnomer)

#   - csv.reader() returns a csv.reader object which can be iterated 

#       over, directly converted to a list, and etc. 

​

# Importing data using Numpy:

import numpy as np

data = np.loadtxt('/path/to/filename.extension',

                delimiter=',',  # String used to separate values

                skiprows=2,     # Number of rows to skip

                usecols=[0,2],  # Specify which columns to read

                dtype=str)      # The type of the resulting array

​

# Importing data using Pandas:

import pandas as pd

data = pd.read_csv('/path/to/filename.extension',

                nrows=5,        # Number of rows of file to read

                header=None,    # Row number to use as column names 

                sep='t',       # Delimiter to use 

                comment='#',    # Character to split comments

                na_values=[""]) # String to recognize as NA/NaN

​

# Note, pandas can also import excel files with pd.read_excel()

f = open("Myfile.txt", "r")

print(f.read())  #this is it if your using visual studio code.

                    # it may work on other things but try it.

                        #here is the other bit of code for the other file 

#-------------------------------------------------------------------------

                                    #this will overwrite anything in the text file!!!

                                    when you run the code

file1 = open("MyFile.txt","w+")  #this is the code to add text to the file 

​

file1.readline() 

​

file1.write("boy") #where you type in to add text to fiel

​

​

file1.close() # to close the file

​

fin = open("NAME.txt", 'r')

body = fin.read().split("n")

line = fin.readline().strip()