Question

import pandas as pd
import seaborn as sns
%pylab inline

Populating the interactive namespace from numpy and matplotlib

consumer_df = pd.DataFrame.from_dict(consumer_timings, orient='index').rename(columns={0: 'time_in_seconds'})
producer_df = pd.DataFrame.from_dict(producer_timings, orient='index').rename(columns={0: 'time_in_seconds'})

consumer_df['MBs/s'] = (len(msg_payload) * msg_count) / consumer_df.time_in_seconds / (1024*1024)
producer_df['MBs/s'] = (len(msg_payload) * msg_count) / producer_df.time_in_seconds / (1024*1024)

consumer_df['Msgs/s'] = msg_count / consumer_df.time_in_seconds
producer_df['Msgs/s'] = msg_count / producer_df.time_in_seconds

producer_df.sort_index(inplace=True)
producer_df

time_in_seconds	MBs/s	Msgs/s
confluent_kafka_producer	5.450890	17.495754
pykafka_producer	57.318527	1.663815
pykafka_producer_rdkafka	15.724413	6.064928
python_kafka_producer	67.855882	1.405441

consumer_df.sort_index(inplace=True)
consumer_df

time_in_seconds	MBs/s	Msgs/s
confluent_kafka_consumer	3.825439	24.929801
pykafka_consumer	29.431728	3.240293
pykafka_consumer_rdkafka	6.086001	15.669966
python_kafka_consumer	26.547753	3.592298

producer_df.plot(kind='bar', subplots=True, figsize=(10, 10), title="Producer Comparison")

array([<matplotlib.axes._subplots.AxesSubplot object at 0x7f8ef4e2edd8>,
        <matplotlib.axes._subplots.AxesSubplot object at 0x7f8ef2978940>,
        <matplotlib.axes._subplots.AxesSubplot object at 0x7f8ef293c240>], dtype=object)

consumer_df.plot(kind='bar', subplots=True, figsize=(10, 10), title="Consumer Comparison")

array([<matplotlib.axes._subplots.AxesSubplot object at 0x7f8ef286c048>,
        <matplotlib.axes._subplots.AxesSubplot object at 0x7f8ef2855908>,
        <matplotlib.axes._subplots.AxesSubplot object at 0x7f8ef27a4080>], dtype=object)