python dataframe iterate and plot/graph

Question

Newbie question, I have a dataframe created from csv with approx 100K rows

    LINE    Line ID     HOURS   CONVERSION  Interval
0   BUR     0           42      75.00       48
1   SHK     1           15      100.00      24
2   BHH     14          16      65.16       24
3   GAT     2           71      50.00       72
4   MKT     23          60      100.00      60

I want to be able to iterate over each row and graph Interval on x axis and CONVERSION on y for each LINE/Line ID, whats the best way to do this?

Answer 1

You can simply use plot() method of dataframe if you just want to plot:

df.plot(x= 'Interval', y = 'CONVERSION')

results in:

If you want a separate line for each line, you can iterate over but you can opt-in for plotly which would be better and easier. And you get an interactive, more beautiful graph:

pd.options.plotting.backend = 'plotly'
df.plot(x= 'Interval', y = 'CONVERSION', color = 'Line')

PS

• You do not need to iterate in pandas unless absolutely necessary. Operations are vectorized in their very nature.

• I used extended version of your dataframe to demonstrate lines in plotly graph with last column mutated:

   LINE Line ID HOURS CONVERSION Interval 0 BUR 0 42 75.00 48 1 SHK 1 15 100.00 24 2 BHH 14 16 65.16 24 3 GAT 2 71 50.00 72 4 MKT 23 60 100.00 60 0 BUR 0 42 75.00 49 1 SHK 1 15 100.00 28 2 BHH 14 16 65.16 30 3 GAT 2 71 50.00 78 4 MKT 23 60 100.00 61