Skip gcf().autofmt_xdate() at pandas plot creation

Question

I\'m trying to plot multiple time series using a pandas dataframe. The dataframe contains more than 100 registers.

From the panda\'s documentation I\'ve read that when p

Answer 1

I think you can just clear all the ticks before you make new ones:

df=pd.DataFrame({'A':np.random.random(20), 'B':np.random.random(20)})
df.index=pd.date_range('1/1/2014', periods=20, freq='5H')
ax = plt.figure(figsize=(7,5), dpi=100).add_subplot(111)
df.plot(ax=ax)
ax.set_xticks([])
ax.set_xticks([], minor=True)
ax.xaxis.set_major_locator(mdates.HourLocator(interval=200))
ax.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d-%H:%S'))
ax.xaxis.grid(True, which="minor")
plt.xticks(rotation='vertical', fontsize = 8)
plt.subplots_adjust(bottom=.2)

Edit

Now the labels are off. ax.xaxis.set_major_formatter(mdates.DateFormatter('%y/%m/%d-%H:%S')) will show they are 1991/01/11 and so on.

df=pd.DataFrame({'A':np.random.random(20), 'B':np.random.random(20)})
df.index=pd.date_range('1/1/2014', periods=20, freq='5H')
ax = plt.figure(figsize=(7,5), dpi=100).add_subplot(111)
ax.plot(df.index.to_pydatetime(), df.A, label='A')
ax.plot(df.index.to_pydatetime(), df.B, label='B')
ax.legend()
ax.xaxis.set_major_locator(mdates.HourLocator(interval=5))
ax.xaxis.set_major_formatter(mdates.DateFormatter('%y/%m/%d-%H:%S'))
ax.xaxis.grid(True, which="major")
ax.yaxis.grid(True, which="major")
plt.xticks(rotation='vertical', fontsize = 8)
plt.subplots_adjust(bottom=.2)