I am fairly new to Python(and handling files) , I am using pandas and storing a dataframe in a text file.
My program requires constant changes in the dataframe , which in turn requires to be updated in the text.
Writing the whole dataframe over and over again ,would not be efficient(i guess,given that i may want to update only a cell)! Appending data would mean adding the whole dataframe again(which is not what i want).
And , then there is Binary file , should i store as that , open it ,edit as normal python object and it reflects back in the file?
How do i achieve this?
Besides the discussion of whether or not you should use the database, it seems what you need is a quick way to save/read again the DataFrame.
You can do it with pickle. “Pickling” is the process whereby a Python object hierarchy is converted into a byte stream, and “unpickling” is the inverse operation, whereby a byte stream (from a binary file or bytes-like object) is converted back into an object hierarchy.
import pickle
# Save the DataFrame
pickle.dump(df, open( "dataFrame.p", "wb" ))
# Load the DataFrame
df_read =pickle.load( open( "dataFrame.p", "rb"))