Python Forum
Timestamp is undefined - Printable Version

+- Python Forum (https://python-forum.io)
+-- Forum: Python Coding (https://python-forum.io/forum-7.html)
+--- Forum: General Coding Help (https://python-forum.io/forum-8.html)
+--- Thread: Timestamp is undefined (/thread-16049.html)

Timestamp is undefined - ErnestTBass - Feb-12-2019

I am receiving the following error. The timestamis undefined. I am not sure
how to correct it.

I know that must import something. I am just not sure what.

Any help appreciated.

Thanks in advance.

Respectfully,,

ErnestTBass

RE: Timestamp is undefined - buran - Feb-12-2019

show your code in python tags as well as full traceback in error tags

RE: Timestamp is undefined - ErnestTBass - Feb-12-2019

Sorry, I thought that I had pt it in the first post.

O have zipped it and attached it to the post.


Respectfully,

ErnestTBasss

RE: Timestamp is undefined - buran - Feb-12-2019

please, copy paste the python code, don't upload a zipped Jupyter Notebook ipynb file
Not every one uses Jupyter

RE: Timestamp is undefined - ErnestTBass - Feb-14-2019 

#creating dataframe with date and target variable
data = df.sort_index(ascending=True, axis=0)
new_data = pd.DataFrame(index=range(0,len(df)),columns=['Date', 'Close'])

#import packages
import pandas as pd
import numpy as np

#to plot notebook
import matplotlib.pyplot as plt
%matplotlib inline

#setting figure size
from matplotlib.pylab import rcParams
rcParams["figure.figsize"] = 20,10

#for normalizing data
from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler(feature_range=(0,1))

#read the file 
df = pd.read_csv('NSE-BSE.csv')

#print the head
df.head()






#setting index as date
df['Date'] = pd.to_datetime(df.Date,format ='%Y-%m-%d')
df.index = df['Date']

#plot
plt.figure(figsize=(16,8))
plt.plot(df['Close'], label='Close Price History')
Above is the code is the code as I got it from my *.ipynb file.

Now if you run it you will get a matlibplot error as shown below. I am ut how to get rid of it. It works fine on
jupyter notebook.

File "testx.py", line 11
    %matplotlib inline
    ^
SyntaxError: invalid syntax
Now with that error corrected (please explain what to do to correct the error)
when we run the code this is the response that I get.

NameError                                 Traceback (most recent call last)
<ipython-input-4-0549f4648bc4> in <module>
     18 
     19 
---> 20 (Timestamp('2013-10-08 00:00:00'),
     21 Timestamp('2017-10-06 00:00:00'),
     22 Timestamp('2017-10-09 00:00:00'),

NameError: name 'Timestamp' is not defined
Please explain what is wrong and how to correct the error.

Any help appreciated. Thanks in advance.

Respectfully,

ErnestTBass

RE: Timestamp is undefined - snippsat - Feb-14-2019 

Error:
File "testx.py", line 11
    %matplotlib inline
    ^
SyntaxError: invalid syntax
This is made to be executed in Jupyter NoteBook,you can not run with %matplotlib inline as ordinary Python script.
Also missing NSE-BSE.csv that this code load.

Do you know how to run Jupyter Notebook?
Take a look at this post for basic setup.
You can install with pip or eg use Anacona3.

There also online clould version like Microsoft Azure Notebooks and Google Colaboratory.

RE: Timestamp is undefined - ErnestTBass - Feb-16-2019

I understand that I cannot run %matplotlib inline as an ordinary python script, so
what can I do to modify that line so that it runs as an Python script?

There must be someway to modify it.

Any help appreciated. Thanks in advance.

Respectfully,

ErnestTBass

RE: Timestamp is undefined - snippsat - Feb-16-2019

(Feb-16-2019, 08:06 PM)ErnestTBass Wrote: what can I do to modify that line so that it runs as an Python script?

There must be someway to modify it.
Look at this post again.
There i use plt.show() to show it as image(png) when run as a script outside of NoteBook.
plt.plot(x,y, label='Loaded from file!')
plt.xlabel('x')
plt.ylabel('y')
plt.title('Graph x y')
plt.legend(loc='upper left', shadow=True, fontsize='large')
plt.show()
Inside NoteBook it's one line,if not doing any modification to Graph.
df.plot(x='x_data', y='y_data' figsize=(7 ,3)