image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

sarcasm_df = pd.read_csv('../input/sarcasm/train-balanced-sarcasm.csv')

sarcasm_df.dropna(subset=['comment'], inplace=True)
sarcasm_df['comment'] = sarcasm_df['comment'].str.lower()
sarcasm_df['comment'] = sarcasm_df['comment'].str.replace('[^\\w\\s]', '')

sarcasm_df.created_utc = pd.to_datetime(sarcasm_df.created_utc)

plt.figure(figsize=(5, 5))
ax = sns.countplot(x='label', data=sarcasm_df)
ax.set(title='Distribution of Classes', xlabel='Sarcasm Status', ylabel='Total Count')
total = float(len(sarcasm_df))
for p in ax.patches:
    height = p.get_height()
    ax.text(p.get_x() + p.get_width() / 2.0, height + 3, '{:1.1f}%'.format(height / total * 100), ha='center')
plt.show()