python - Plotting time series with seaborn -

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i have 2 lists. 1 represents time , looks like

time=[datetime.datetime(2015, 1, 2, 0, 1, 2),datetime.datetime(2015, 1, 2, 0, 5, 2),datetime.datetime(2015, 1, 3, 0, 1, 53),datetime.datetime(2015, 1, 3, 0, 1, 56),datetime.datetime(2015, 1, 5, 0, 1, 2),datetime.datetime(2015, 1, 5, 0, 1, 40),datetime.datetime(2015, 1, 7, 0, 1, 2),datetime.datetime(2015, 1, 7, 0, 1, 30),datetime.datetime(2015, 1, 9, 0, 1, 2),datetime.datetime(2015, 1, 9, 0, 1, 20)]

and other represents corresponding data points:

data=[51.024,3.2179,105.18,31.176,1.1123,1.7861,109.65,0.0,123.890,523.897]

plotting matplotlib easy, rest of statistics done seaborn , keep visuals , use seaborn whole set of results. when use seaborn.tsplot following error index contains duplicate entries, cannot reshape seaborn. data list contain duplicates, @ different time points , cannot removed. doing wrong?

edit: if create pandas dataframe, can plot y value using sns.tsplot(y), want able use values x-axis, not generated values.

as alternative plotting data seaborn, can use matplotlib's styles feature same while still plotting within matplotlib:

from matplotlib import style # seaborn's visual styling inspired ggplot, #   style should similar: style.use('ggplot')  import matplotlib.pyplot plt import datetime time=[datetime.datetime(2015, 1, 2, 0, 1, 2),datetime.datetime(2015, 1, 2, 0, 5, 2),datetime.datetime(2015, 1, 3, 0, 1, 53),datetime.datetime(2015, 1, 3, 0, 1, 56),datetime.datetime(2015, 1, 5, 0, 1, 2),datetime.datetime(2015, 1, 5, 0, 1, 40),datetime.datetime(2015, 1, 7, 0, 1, 2),datetime.datetime(2015, 1, 7, 0, 1, 30),datetime.datetime(2015, 1, 9, 0, 1, 2),datetime.datetime(2015, 1, 9, 0, 1, 20)] data=[51.024,3.2179,105.18,31.176,1.1123,1.7861,109.65,0.0,123.890,523.897]  # replace whatever code using plot #   within matplotib, styling should still applied plt.plot(time, data, 'ro') plt.show()

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