如何绘制具有3个特征的折线图子图

Question

I am trying to plot subplots from this dataframe.

df:

cOne:    cTwo:      cThree:     Date:    
car      blue        other     2006-06-12 15:00:00
truck    yellow      other2    2004-05-19 17:00:00
car      red         other3    2012-05-28 09:00:00

I want to plot an individual sub-plot for each day of the week (Monday, Tuesday...Sunday). The x-axis should be each hour of the day. While the lines should represent 'cOne', the y-axis being the counts of the occurrences for each 'cOne' for the respective hour and day.

Thanks.

Answer 1

I believe the easiest way to accomplish is to use pandas.DatetimeIndex to extract the day of week from the datetimes and use that along with an array of the options you are interested in (ie `['car', 'truck']) to accumulate the occurrence for each hour within each day over the date range. Here is an example which demonstrates this approach (using some randomly generated data for demonstration)

week = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
opts   = [['car', 'truck'],
         ['blue', 'yellow', 'red'],
         ['other', 'other2', 'other3']]
dates = pd.date_range('01-01-2000', '01-01-2001', freq='H')
cOne = list()
cTwo = list()
cThree = list()
n = len(dates)
for ii in range(n):
    cOne.append(opts[0][np.random.randint(0,2)])
    cTwo.append(opts[1][np.random.randint(0,3)])
    cThree.append(opts[2][np.random.randint(0,3)])

df = pd.DataFrame({'cOne': cOne,
                  'cTwo': cTwo,
                  'cThree': cThree,
                  'Date': dates})
df = df.set_index(pd.DatetimeIndex(pd.to_datetime(df['Date'])))
hours = df.index.hour
columnsTitles=["Date", "cOne", "cTwo", "cThree"]
df=df.reindex(columns=columnsTitles)

x = pd.date_range('00:00', '23:00', freq = 'H')
x = range(0,24,1)
rows = len(df.index)
col = df.columns
fig = plt.figure(figsize=(21,3*(len(col)-1)))
fig.suptitle("Hourly Occurence by Day of Week", y = 1)
for mm in range(1, len(col)):
    for ii in range(len(week)):
        y = [[0]*len(x) for i in range(len(opts[mm-1]))]
        for jj in range(rows):
            if dates[jj].dayofweek == ii:
                for kk in range(len(opts[mm-1])):
                    if df[col[mm]][jj] == opts[mm-1][kk]:
                        y[kk][hours[jj]] = y[kk][hours[jj]] + 1
                        break
        ax = fig.add_subplot(len(col)-1, len(week), ii + (mm - 1)*(len(week)) + 1)
        if mm == 1:
            ax.set_title(week[ii])
        for ll in range(len(opts[mm-1])):
            ax.plot(x, y[ll], linewidth=1, linestyle='-', alpha=0.7)
plt.show()

The output of which is