Vfrdtyky

I have a dataframe,df, which i intend to plot a line chart where we cut the window in several subplots, one per group. Then,each group contains each column which is represented by a thick line displayed on its unique subplot while the other columns are displayed discreetly like the picture below so it won't lead to a spaghetti plot. The dimension of the dataframe is (30,26)

Index        DateTimestamp              0.0      5.0     34.0 ... 22.0 

  0        2017-08-03 00:00:00           10        0      10       0

  1        2017-08-04 00:00:00           20       60    1470      20

  3        2017-08-05 00:00:00           0        58       0      24

  4        2017-08-06 00:00:00           0         0     480      24

  5        2017-09-07 00:00:00           0         0       0      25

  :                 :                     :         :       :      :

  :                 :                     :         :       :      :

 29       2017-09-30 00:00:00

It should look this:

the y4, y5 .... ontop of each subplot in the picture is the particular column name being displayed which in my dataframe can be 0.0,1.0....25.0. The x-axis tick labels will be the datetimestamp column of my dataframe,df. the Y-axis is the range of values of for all columns.
Here is the code:
#Initialize the figure

plt.style.use('seaborn-darkgrid')

#create a color palette

palette = plt.get_cmap('tab20')

#multiple line plot

num=0

for column in df.drop(' DateTimestamp', axis=1):

num+=1

# Find the right spot on the plot

plt.subplot(6,5, num)

# plot every groups, but discreet

for v in df.drop(' DateTimestamp', axis=1):

    plt.plot(df[' DateTimestamp'], df[v], marker='', color='grey', linewidth=0.6, alpha=0.3)

# Plot the lineplot

plt.plot(df[' DateTimestamp'], df[column], marker='', color=palette(num), linewidth=2.4, alpha=0.9, label=column)

# Same limits for everybody!

plt.xlim(0,30)

plt.ylim(0,0) # the limit of the y-axis should be the max value of all possible column values 

# Not ticks everywhere

if num in range(7) :

    plt.tick_params(labelbottom='off')

if num not in [1,4,7] :

    plt.tick_params(labelleft='off')

# Add title

 plt.title(column, loc='left', fontsize=12, fontweight=0, color=palette(num) )

#general title

 plt.suptitle("Line Plot",fontsize=13, fontweight=0, color='black', style='italic', y=1.02)

#Axis title

plt.text(0.5, 0.02, 'Time', ha='center', va='center')

plt.text(0.06, 0.5, 'Note', ha='center', va='center', rotation='vertical')

However,i get error:

Traceback (most recent call last):

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesIPythoncoreformatters.py", line 307, in __call__return printer(obj)

 File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesIPythoncorepylabtools.py", line 240, in <lambda> png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))

 File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesIPythoncorepylabtools.py", line 124, in print_figure fig.canvas.print_figure(bytes_io, **kw)

 File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibbackend_bases.py", line 2212, in print_figure**kwargs)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibbackendsbackend_agg.py", line 513, in print_png FigureCanvasAgg.draw(self)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibbackendsbackend_agg.py", line 433, in draw self.figure.draw(self.renderer)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibartist.py", line 55, in draw_wrapper return draw(artist, renderer, *args, **kwargs)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibfigure.py", line 1475, in draw renderer, self, artists, self.suppressComposite)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibimage.py", line 141, in _draw_list_compositing_images a.draw(renderer)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibartist.py", line 55, in draw_wrapper return draw(artist, renderer, *args, **kwargs)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibaxes_base.py", line 2607, in draw mimage._draw_list_compositing_images(renderer, self, artists)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibimage.py", line 141, in _draw_list_compositing_images a.draw(renderer)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibartist.py", line 55, in draw_wrapper return draw(artist, renderer, *args, **kwargs)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibaxis.py", line 1190, in draw ticks_to_draw = self._update_ticks(renderer)

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibaxis.py", line 1028, in _update_ticks tick_tups = list(self.iter_ticks())  # iter_ticks calls the locator

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibaxis.py", line 971, in iter_ticks majorLocs = self.major.locator()

  File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibdates.py", line 1249, in __call__self.refresh()

 File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibdates.py", line 1269, in refresh dmin, dmax = self.viewlim_to_dt()

 File "C:UserstyAppDataLocalContinuumAnaconda3libsite-packagesmatplotlibdates.py", line 1026, in viewlim_to_dt.format(vmin))

ValueError: view limit minimum 0.0 is less than 1 and is an invalid Matplotlib date value. This often happens if you pass a non-datetime value to an axis that has datetime units <Figure size 432x288 with 25 Axes>