Read and Write files: reads and writes one line at a time in a large file. CSV file

Read the file:

The traditional method of reading. All read out, processed by line:

Fp=open ("./ps.txt", "R");

Alllines=fp.readlines ();

Fp.close ();

For Eachline in Alllines:

Print Eachline

The recommended read method, using a file iterator, is to read and display only one row at a time. This should be the case when reading large files:

Fp=open ("./ps.txt", "R");

For Eachline in FP:

Print Eachline

To read and write files using pandas:

Import Pandas as PD

Import NumPy as NP

Read the file and convert it into Np.array:

Traind=pd.read_csv ("Train.csv")

Trainy=np.array (Traind.iloc[:,-1])

Trainx=np.array (Traind.iloc[:,1:-1]) #drop ID and TARGET

Testd=pd.read_csv ("Test.csv")

Submitid=np.array (testd.iloc[:,0]) #ID column

Testx=np.array (testd.iloc[:,1:]) #drop ID

Write the file and convert it to PD. DataFrame:

Dataset_trainblend=np.zeros ((3, 2))

DFTRAINBLEND=PD. DataFrame (Dataset_trainblend)

Dftrainblend.to_csv ("Dftrainblend3.csv", header=["RFC", "GBC"], Index=false)

Read and Write files: reads and writes one line at a time in a large file. CSV file