python - Multi-line chart with seaborn tsplot -

i want create smoothed line chart using matplotlib , seaborn.

this dataframe df:

hour    direction    hourly_avg_count 0       1            20 1       1            22 2       1            21 3       1            21 ..      ...          ... 24      1            15 0       2            24 1       2            28 ...     ...          ... 

the line chart should contain 2 lines, 1 direction equal 1, direction equal 2. x axis hour , y axis hourly_avg_count.

i tried this, cannot see lines.

import pandas pd import seaborn sns import matplotlib import matplotlib.pyplot plt  plt.figure(figsize=(12,8)) sns.tsplot(df, time='hour', condition='direction', value='hourly_avg_count') 

the tsplot bit strange or @ least strangly documented. if dataframe supplied it, assumes there must unit , time column present, internally pivots two. use tsplot plot several time series therefore need supply argument unit well; can same condition.

sns.tsplot(df, time='hour', unit = "direction",                 condition='direction', value='hourly_avg_count') 

complete example:

import numpy np import pandas pd import seaborn sns import matplotlib.pyplot plt  hour, direction = np.meshgrid(np.arange(24), np.arange(1,3)) df = pd.dataframe({"hour": hour.flatten(), "direction": direction.flatten()}) df["hourly_avg_count"] = np.random.randint(14,30, size=len(df))  plt.figure(figsize=(12,8)) sns.tsplot(df, time='hour', unit = "direction",                 condition='direction', value='hourly_avg_count')  plt.show() 

also worth noting tsplot deprecated of seaborn version 0.8. might worth use other way plot data anyways.