Das deutsche Python-Forum

Hallo,

beim Importieren einer csv Datei wähle ich:
GDP = pd.read_csv("assets/world_bank.csv", sep=",", header= None)

Nun erhalte ich u.a.
0 1 2 \
4 Country Name Country Code Indicator Name
5 Aruba ABW GDP at market prices (constant 2010 US$)
6 Andorra AND GDP at market prices (constant 2010 US$)
7 Afghanistan AFG GDP at market prices (constant 2010 US$)
8 Angola AGO GDP at market prices (constant 2010 US$)
.. ... ... ...
264 Yemen, Rep. YEM GDP at market prices (constant 2010 US$)
265 South Africa ZAF GDP at market prices (constant 2010 US$)
266 Congo, Dem. Rep. COD GDP at market prices (constant 2010 US$)
267 Zambia ZMB GDP at market prices (constant 2010 US$)
268 Zimbabwe ZWE GDP at market prices (constant 2010 US$)

3 4 5 6 7 \
4 Indicator Code 1.960000e+03 1.961000e+03 1.962000e+03 1.963000e+03
5 NY.GDP.MKTP.KD NaN NaN NaN NaN

6 NY.GDP.MKTP.KD NaN NaN NaN NaN
7 NY.GDP.MKTP.KD NaN NaN NaN NaN
8 NY.GDP.MKTP.KD NaN NaN NaN NaN
.. ... ... ... ... ...
264 NY.GDP.MKTP.KD NaN NaN NaN NaN
265 NY.GDP.MKTP.KD 7.707081e+10 8.003449e+10 8.497844e+10 9.124438e+10
266 NY.GDP.MKTP.KD 1.508024e+10 1.344383e+10 1.629401e+10 1.714358e+10
267 NY.GDP.MKTP.KD 4.592975e+09 4.655503e+09 4.539542e+09 4.688093e+09
268 NY.GDP.MKTP.KD 3.338344e+09 3.549199e+09 3.600111e+09 3.824915e+09


Mein Problem dabei ist, dass ich die Zeile 4 als Tabellenüberschrift haben will, und dass die Werte nach Indikator Code ganze Zahlen sein sollen, wie in der Tabelle!
Wie skippe ich die Zahlen der ersten Spalte auch noch?

Siehe https://pandas.pydata.org/docs/referenc ... d_csv.html: mit skiprows, header, dtype.