CODEWITHSUNDEEP
pythonmatplotlib
Viktor.w
Viktor.w

Reputation: 2297

Matplotlib: multiple lines plot

My dataframe looks like this:

Bin           A      B      C   Proba-a%   Proba-b%   Proba-c%    gamma%
CPB%                                                                    
0.100     20841  23195  24546  34.503457  27.103303  22.859837     0.100
0.200      2541   4187   5176  26.517913  13.944499   6.593338     0.200
0.300      2750   1823   1122  17.875550   8.215217   3.067253     0.300
0.400       999    829    448  14.736015   5.609856   1.659334     0.400
0.500       604    495    217  12.837838   4.054181   0.977373     0.500
0.600       436    348    116  11.467630   2.960495   0.612822     0.600
0.700       367    247     76  10.314268   2.184230   0.373979     0.700
0.800       305    186     35   9.355751   1.599673   0.263985     0.800
0.900       280    115     24   8.475801   1.238254   0.188561     0.900
1.000       200    102     18   7.847266   0.917691   0.131992     1.000

what I would like to do is to have on the x axis 'gamma%' and a chart with three lines A, B and C. I saw somewhere that you had to call multiple time plt, I tried that: 

plt.plot(x='gamma%', y='A', data=df_b)
plt.plot(x='gamma%', y='B',data=df_b)
plt.plot(x='gamma%', y='C',data=df_b)

But I had the following error:

ValueError: Using arbitrary long args with data is not supported due to ambiguity of arguments.
Use multiple plotting calls instead.

Any idea? Thanks!

Upvotes: 2

Views: 3554

Answers (2)

Sheldore
Sheldore

Reputation: 39042

You can also directly use your DataFrame to plot the three columns in a looped manner without having to write three separate plot commands as follows

fig, ax = plt.subplots()

for cols in ['A', 'B', 'C']:
    df_b.plot('gamma%', cols, ax=ax)

enter image description here

Upvotes: 0

DollarAkshay
DollarAkshay

Reputation: 2122

Actually your method is fine, just dont explicitly say x='gamma%'. Instead just pass the column name like 'gamma%' and it should work

Example :

plt.plot('gamma%', 'A', data=df_b)

Here it is directly from the documentation :

Plotting labelled data

There's a convenient way for plotting objects with labelled data (i.e. data that can be accessed by index obj['y']). Instead of giving the data in x and y, you can provide the object in the data parameter and just give the labels for x and y:

plot('xlabel', 'ylabel', data=obj)

Upvotes: 4

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