python - pandas / matplotlib: change tick label format (force plain not scientific) -

i have pandas dataframe 2 columns in below format:

df.head()                             column1  column2 time                                                                         1900-01-01 12:30:05.089883  19042.5  19042.8615    1900-01-01 12:30:05.210055  19042.5  19042.8615    1900-01-01 12:30:05.290165  19042.5  19042.8615    1900-01-01 12:30:05.449856  19042.5  19042.8615    

i plotting columns on same matplotlib axes subplot

def plot(df):     ax = df.plot(y='column1', figsize=(20, 8))     df.plot(y='column2', ax=ax)      # doesn't make difference     ax.ticklabel_format(style='plain', axis='y')          mpl.pyplot.show()  plot(df) 

i'd print y-axis in plain format - how can force stop using scientific?

that is, y-axis goes 0 6, , has additional label 1.9037e4. fo 19037 19043

i've tried this, doesn't make difference:

ax.ticklabel_format(style='plain', axis='y')  

from docs:

to reduce chances ticklabels overlap ticks labeled deltas fixed offset. example:

ax.plot(np.arange(2000, 2010), range(10))

will have tick of 0-9 offset of +2e3. if not desired turn off use of offset on default formatter:

ax.get_xaxis().get_major_formatter().set_useoffset(false)

set rcparam axes.formatter.useoffset=false turn off globally, or set different formatter.

so, can write

 ax.get_yaxis().get_major_formatter().set_useoffset(false) 

to turn off offset.