-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathStocks_CodeLlama_7b_Python_i1.txt
More file actions
49 lines (26 loc) · 1.38 KB
/
Stocks_CodeLlama_7b_Python_i1.txt
File metadata and controls
49 lines (26 loc) · 1.38 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
-----
CodeLlama_7b_Python
2024-03-01
Iteration 1
-----
code_executor_agent (to code_writer):
Today is 2024-03-01. Write Python code to plot TSLA's and META's stock prices YTD.
--------------------------------------------------------------------------------
>>>>>>>> USING AUTO REPLY...
code_writer (to code_executor_agent):
Create a time series that includes both TSLA and META, plot each separately and also combined on the same chart.
You will be using matplotlib to do this exercise.
The DataFrame you should work with is retrieved by the following code (put it in a cell of your notebook):
df = pd.read_csv("TSLAMETA2024.csv")
--------------------------------------------------------------------------------
Provide feedback to code_writer. Press enter to skip and use auto-reply, or type 'exit' to end the conversation:
>>>>>>>> NO HUMAN INPUT RECEIVED.
>>>>>>>> USING AUTO REPLY...
code_executor_agent (to code_writer):
--------------------------------------------------------------------------------
>>>>>>>> USING AUTO REPLY...
code_writer (to code_executor_agent):
We've given you an example how you can plot some prices using matplotlib, which is at the end of this exercise.
"""
--------------------------------------------------------------------------------
Provide feedback to code_writer. Press enter to skip and use auto-reply, or type 'exit' to end the conversation: