I am attempting to make a swarmplot for my data where the the top 20 most frequent times appear on the y-axis, and each count value for each time is plotted. For some reason, when I plot just the times, the graph is shaped perfectly, but does not contain a y-axis for the counts/frequencies.

When I include the count column for the y-axis argument, I get an incorrect plot, where the counts are plotted horizontally.

# Top 20 most frequent times to tweet

tweetsDF[‘Time’] = tweetsDF.timestamp.map(lambda timestamp: timestamp[timestamp.index(‘:’)-2:timestamp.index(‘:’)+7].strip())

tweetsDF[‘TimeCount’] = tweetsDF.groupby(‘time’)[‘time’].transform(‘count’)

TimeData = tweetsDF[[‘Time’, ‘TimeCount’]]

counts = Counter(TimeData.Time).most_common(20)

counts = [val[0] for val in counts]

Top20Times = TimeData[TimeData[‘Time’].isin(counts)

As described earlier, I tried plotting with the y-axis argument, yet I do not get my desired output

sns.catplot(kind=’swarm’, x=’Time’,data=Top20Times), plt.xticks(rotation=90):

output:

:

(This is my desired plot, however, I am unable to get the y-axis count values for each time)

Where as, if I include the y-axis argument, I do not get my desired graph:

sns.catplot(kind=’swarm’, x=’Time’, y=’TimeCount’,data=Top20Times), plt.xticks(rotation=90)

output: