从 Pandas 到 Seaborn 绘制多条线图

Question

I'm trying to plot a multi line-graph plot from a pandas dataframe using seaborn. Below is a .csv of the of the data and the desired plot. In excel I simply selected the whole dataset and swapped the axis. Technically there are 110 lines (rows) on this, but many aren't visible because they only contain 0's.

This is my code:

individual_burst_data = {'nb001':nb001, 'nb002':nb002, 'nb003':nb003, 'nb004':nb004, 'nb005':nb005, 'nb006':nb006, 'nb007':nb007, 'nb008':nb008, 'nb009':nb009, 'nb010':nb010, 'nb011':nb011, 'nb012':nb012, 'nb013':nb013, 'nb015':nb015, 'nb016':nb016 }
ibd_panda_conv = pd.DataFrame(individual_burst_data)

sns.lineplot(data = ibd_panda_conv, x = individual_burst_data, y =ibd_panda_conv)

Other sources seem to only extract one column, whereas I need all the columns.

I tried to create an index for the y-axis

index_data = list(range(0,len(individual_burst_data)))

but this didn't work either.

Answer 1

The seaborn lineplot() documentation says:

Passing the entire wide-form dataset to data plots a separate line for each column

Since you want a line for each row instead, you need to transpose your dataframe, so try this:

sns.lineplot(data=ibd_panda_conv.T, dashes=False)