By utilizing this feature to add new data, a fresh file will be generated in the corresponding partition directory. Alternatively, for a faster approach that is more intricate, you can memory map the initial file and add the new dataframe using native PyArrow calls before writing the updated fi...
# Import numpyimportnumpyasnp# Creating a numpy arrayarr=np.array([1,2,3,4])# Opening a filef=open('arr.csv','r+')# Display file contentprint("File content:\n",f.read(),"\n")#appending dataforiinrange(4): np.savetxt(f, arr)# closing filef.close()# Display file content ...
Hi, and thank you for this great addition to numpy. I've been trying to use NpyAppendArray but I couldn't save relatively large arrays iteratively. It seems that the save fails when the file reaches about 2gb. Here is a small code sample...
I ran into this issue today, and it seems like it should be a fairly common situation. I have imported two dataframes (using pandas.read_stata) of categorical data that I want to concatenate. One of them might not have an instance of eve...