I am new to analytics,python and machine learning and I am working on Time forecasting. Using the following code I am getting the value for train and test data but the graph is plotted blank. 

```
import pandas as pd 
import numpy as np 
import matplotlib.pyplot as plt
import statsmodels.tsa.api as ExponentialSmoothing
#Importing data
df = pd.read_csv('international-airline-passengers - Copy.csv')
#Printing head
print(df.head())
#Printing tail
print(df.tail())
df = pd.read_csv('international-airline-passengers - Copy.csv', nrows = 11856)
#Creating train and test set 
#Index 10392 marks the end of October 2013 
train=df[0:20]
test=df[20:]
#Aggregating the dataset at daily level
df.Timestamp = pd.to_datetime(df.Month,format='%m/%d/%Y %H:%M') 
df.index = df.Timestamp 
df = df.resample('D').mean()
train.Timestamp = pd.to_datetime(train.Month,format='%m/%d/%Y %H:%M')
print('1')
print(train.Timestamp)
train.index = train.Timestamp 
train = train.resample('D').mean() 
test.Timestamp = pd.to_datetime(test.Month,format='%m/%d/%Y %H:%M') 
test.index = test.Timestamp 
test = test.resample('D').mean()
train.Count.plot(figsize=(15,8), title= 'Result', fontsize=14)
test.Count.plot(figsize=(15,8), title= 'Result', fontsize=14)
plt.show()

```

Not able to understand the reason for getting the graph blank even when train and test data is having value.
Thanks in advance.