CODEWITHSUNDEEP
pythonmachine-learninganalytics
shivani joshi
shivani joshi

Reputation: 55

Matplotlib plots turn out blank even having values

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.

Upvotes: 0

Views: 1154

Answers (2)

Nisarg Bhatt
Nisarg Bhatt

Reputation: 389

import holoviews as hv
import pandas as pd
import numpy as np
data=pd.read_csv("C:/Users/Nisarg.Bhatt/Documents/data.csv", engine="python")

train=data.groupby(["versionCreated"])["Polarity Score"].mean()
table=hv.Table(train)
print(table)
bar=hv.Bars(table).opts(plot=dict(width=1500))
renderer = hv.renderer('bokeh')
app = renderer.app(bar)
print(app)

from bokeh.server.server import Server
server = Server({'/': app}, port=0)
server.start()
server.show("/")

This is done by using Holoviews, it is used for visualisation purpose.If you are using for a professional application, you should definitely try this. Here the versionCreated is date and Polarity is similar to count. Try this

OR, if you want to stick to matplotlib try this:

fig, ax = plt.subplots(figsize=(16,9))

ax.plot(msft.index, msft, label='MSFT')
ax.plot(short_rolling_msft.index, short_rolling_msft, label='20 days rolling')
ax.plot(long_rolling_msft.index, long_rolling_msft, label='100 days rolling')

ax.set_xlabel('Date')
ax.set_ylabel('Adjusted closing price ($)')
ax.legend()

Also this can be used, if you want to stick with matplotlib

Upvotes: 0

Nisarg Bhatt
Nisarg Bhatt

Reputation: 389

I think I found the issue here. The thing is you are using train.Count.plot here, while the value of "plt" is still empty.If you go through the documentation of matplotlib(link down below), you will find that you need to store some value in plt first and here since plt is empty, it is giving back empty plot. Basically you are not plotting anything and just showing up the blank plot.

Eg: plt.subplots(values) or plt.scatter(values), or any of its function depending on requirements.Hope this helps.

https://matplotlib.org/

Upvotes: 1

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