Feature request: groupby.hist() plot each hist in a subplot

[RolandRitt]

I'd like to use the kwarg subplots=True when plotting histogramms of groupby
My code:

import os
import sys
import datetime
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.dates as mdates
import numpy as np


%matplotlib notebook


dates = pd.date_range('2013-07-14 11:00:00', '2013-07-16 11:00:00', freq = 's')
cats = np.random.choice(['m', 'f', 'c'], len(dates))
data =np.random.randn(len(dates),1)

df = pd.DataFrame(data, dates)
df.columns = ['data']
df['cats']= cats

plt.figure()
ax1 = df.groupby('cats')['data'].hist(bins=20, normed=True, subplots=True) #Figure --> not working with subplots=True

Would be nice to have this feature in pandas (same would be nice to have in groupby.plot #12450 )

My pandas:

pd.__version__
'0.18.0rc1'

[RolandRitt]

I just found out that if i change ax1 = df.groupby('cats')['data'].hist(bins=20, normed=True, subplots=True) to ax1 = df.groupby('cats').hist(bins=20, normed=True, subplots=True) seperate plots are generated, but it woult be nice here to define, that each group is plotted as a subplot..(or as a row of a subplot)

updated Code:

mport os
import sys
import datetime
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.dates as mdates
import numpy as np


%matplotlib notebook


dates = pd.date_range('2013-07-14 11:00:00', '2013-07-16 11:00:00', freq = 's')
cats = np.random.choice(['m', 'f', 'c'], len(dates))
data =np.random.randn(len(dates),1)
data2 =np.random.randn(len(dates),1)

df = pd.DataFrame(data, dates)
df.columns = ['data']
df['cats']= cats
df['data2'] = data2

plt.figure()
ax1 = df.groupby('cats').hist(bins=20, normed=True) #Figure1

[jreback]

covered by #8018