[FIXED] Plot shaded lines for std from different dataframes in one graph

Issue

I am stuck with this problem. I got two dataframes. df is my mean and error the corresponding std. I would like to have a normal line graph for every column of df and shaded areas over and under these lines from error.

This is what I tried so far, but I get this error.

fig, axs = plt.subplots(figsize =(20,10))

axs.set_ylim(0,4)
axs.plot(df)
axs.fill_between(df, df - error, df + error)
plt.show() 

File "C:\Users\mobil\anaconda3\lib\site-packages\matplotlib\__init__.py", line 1565, in inner
    return func(ax, *map(sanitize_sequence, args), **kwargs)
  File "C:\Users\mobil\anaconda3\lib\site-packages\matplotlib\axes\_axes.py", line 5156, in fill_between
    raise ValueError('Input passed into argument "%r"' % name +
ValueError: Input passed into argument "'x'"is not 1-dimensional.

These are the dataframes:

df
          0         1         2         3         4         5
0  0.000000  0.000000  0.000000  0.000000  0.185890  0.054603
1  0.000000  0.000000  0.000000  0.000000  0.204758  0.073861
2  0.000000  0.000000  0.000000  0.506930  0.278364  0.116938
3  0.000000  0.000000  0.463905  0.738385  0.563741  0.222716
4  0.000000  0.479647  0.616823  1.197356  0.715571  0.281495
5  0.223208  1.674243  1.581247  2.028640  0.735176  0.268374
6  0.638434  2.255282  1.747558  2.060295  0.685145  0.251289
7  0.896262  2.570574  1.839729  2.180433  0.629562  0.363102


error
          0         1         2         3         4         5
0  0.000000  0.000000  0.000000  0.000000  0.025165  0.024576
1  0.000000  0.000000  0.000000  0.000000  0.043171  0.025021
2  0.000000  0.000000  0.000000  0.249822  0.066857  0.031510
3  0.000000  0.000000  0.351071  0.410710  0.099998  0.062855
4  0.000000  0.439829  0.426086  0.578717  0.074479  0.087265
5  0.163256  1.261762  0.823696  0.743150  0.028472  0.139199
6  0.415963  1.595399  0.810581  0.722636  0.047193  0.151555
7  0.469144  1.590634  0.760402  0.700425  0.062162  0.153096

All I was able to get so far was the plot without the shaded std.

Hopefully someone has an idea?

Solution

Simple case of plot each of the error areas individually

import matplotlib.colors

fig, axs = plt.subplots(figsize =(10,6))

axs.set_ylim(0,4)

for i, c in enumerate(df.columns):
    color = plt.rcParams['axes.prop_cycle'].by_key()["color"][i]
    axs.fill_between(df.index, (df - error)[c], (df+error)[c], 
                     facecolor=matplotlib.colors.to_rgba(color, .2), edgecolor=color)
df.plot(ax=axs, lw=5)

Answered By - Rob Raymond