-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathpandasai.log
124 lines (100 loc) · 6.34 KB
/
pandasai.log
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
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
2024-09-22 08:26:48 [INFO] Question: what is the average offset of the eye?
2024-09-22 08:26:48 [INFO] Running PandasAI with bamboo_llm LLM...
2024-09-22 08:26:48 [INFO] Prompt ID: 8e238c4b-5cc8-436f-bc02-f58aa3f612c0
2024-09-22 08:26:48 [INFO] Executing Pipeline: GenerateChatPipeline
2024-09-22 08:26:48 [INFO] Executing Step 0: ValidatePipelineInput
2024-09-22 08:26:48 [INFO] Executing Step 1: CacheLookup
2024-09-22 08:26:48 [INFO] Executing Step 2: PromptGeneration
2024-09-22 08:26:49 [INFO] Querying without using training data.
2024-09-22 08:26:50 [INFO] Querying without using training docs.
2024-09-22 08:26:50 [INFO] Using prompt: <dataframe>
dfs[0]:88x5
movie_id,image_seq,gaze,blink,eye_offset
93663f94-bf0a-4ce8-a29a-a5236cc7fe6a,15,0,0,37.4903
93663f94-bf0a-4ce8-a29a-a5236cc7fe6a,29,1,0,-0.8867
93663f94-bf0a-4ce8-a29a-a5236cc7fe6a,46,0,0,0.7693
</dataframe>
Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd
# Write code here
# Declare result var:
type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```
### QUERY
what is the average offset of the eye?
Variable `dfs: list[pd.DataFrame]` is already declared.
At the end, declare "result" variable as a dictionary of type and value.
If you are asked to plot a chart, use "matplotlib" for charts, save as png.
Generate python code and return full updated code:
2024-09-22 08:26:50 [INFO] Executing Step 3: CodeGenerator
2024-09-22 08:26:52 [INFO] Prompt used:
None
2024-09-22 08:26:52 [INFO] Code generated:
```
# TODO: import the required dependencies
import pandas as pd
# Calculate the average offset of the eye
eye_offsets = []
for df in dfs:
if 'eye_offset' in df.columns:
eye_offsets.extend(df['eye_offset'].tolist())
average_eye_offset = sum(eye_offsets) / len(eye_offsets)
# Declare result variable
result = { "type": "number", "value": average_eye_offset }
```
2024-09-22 08:26:52 [INFO] Executing Step 4: CachePopulation
2024-09-22 08:26:52 [INFO] Executing Step 5: CodeCleaning
2024-09-22 08:26:52 [INFO]
Code running:
```
eye_offsets = []
for df in dfs:
if 'eye_offset' in df.columns:
eye_offsets.extend(df['eye_offset'].tolist())
average_eye_offset = sum(eye_offsets) / len(eye_offsets)
result = {'type': 'number', 'value': average_eye_offset}
```
2024-09-22 08:26:52 [INFO] Executing Step 6: CodeExecution
2024-09-22 08:26:52 [INFO] Executing Step 7: ResultValidation
2024-09-22 08:26:52 [INFO] Answer: {'type': 'number', 'value': 15.8013625}
2024-09-22 08:26:52 [INFO] Executing Step 8: ResultParsing
2024-09-22 11:29:22 [INFO] Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
2024-09-22 11:29:22 [INFO] Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
2024-09-22 11:30:18 [INFO] Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
2024-09-22 11:30:18 [INFO] Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
2024-09-22 11:30:26 [INFO] Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
2024-09-22 11:30:26 [INFO] Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
2024-09-22 18:09:53 [INFO] Question: what is the average offset of the eye?
2024-09-22 18:09:53 [INFO] Running PandasAI with bamboo_llm LLM...
2024-09-22 18:09:53 [INFO] Prompt ID: 4d8863e4-3e5f-4236-992b-8ee8f550cfcc
2024-09-22 18:09:54 [INFO] Executing Pipeline: GenerateChatPipeline
2024-09-22 18:09:54 [INFO] Executing Step 0: ValidatePipelineInput
2024-09-22 18:09:54 [INFO] Executing Step 1: CacheLookup
2024-09-22 18:09:54 [INFO] Using cached response
2024-09-22 18:09:54 [INFO] Executing Step 2: PromptGeneration
2024-09-22 18:09:54 [INFO] Executing Step 2: Skipping...
2024-09-22 18:09:54 [INFO] Executing Step 3: CodeGenerator
2024-09-22 18:09:54 [INFO] Executing Step 3: Skipping...
2024-09-22 18:09:54 [INFO] Executing Step 4: CachePopulation
2024-09-22 18:09:54 [INFO] Executing Step 4: Skipping...
2024-09-22 18:09:54 [INFO] Executing Step 5: CodeCleaning
2024-09-22 18:09:54 [INFO]
Code running:
```
eye_offsets = []
for df in dfs:
if 'eye_offset' in df.columns:
eye_offsets.extend(df['eye_offset'].tolist())
average_eye_offset = sum(eye_offsets) / len(eye_offsets)
result = {'type': 'number', 'value': average_eye_offset}
```
2024-09-22 18:09:54 [INFO] Executing Step 6: CodeExecution
2024-09-22 18:09:54 [INFO] Executing Step 7: ResultValidation
2024-09-22 18:09:54 [INFO] Answer: {'type': 'number', 'value': 15.8013625}
2024-09-22 18:09:54 [INFO] Executing Step 8: ResultParsing
2024-09-22 18:10:01 [INFO] Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
2024-09-22 18:10:01 [INFO] Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
2024-09-22 18:19:40 [INFO] Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
2024-09-22 18:19:40 [INFO] Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.