Why does Pandas to split a csv field (string) that contains a date in 3 rows?
I use Pandas to manipulate csv files.
In one of these files, there’s a column called “name and birth date” that contains a string :
importing weird string csv as float
U_d = pd.read_csv(“Uzud.csv”, decimal = ‘,’) print(U_d) what comes out: f in kHz U in mV Amplitude in Vpp entfernung in cm 43.7 52 1 5.0 9.0 43.7 43 5 11.0 NaN 43.7 30 5 13.0 NaN 43.7 27,5 5 15.0 NaN 43.7 24 5 16.0 NaN (Note that the value 27.5 in ‘U in […]