Add Multi-CSV/DF support in CSV and DataFrame Toolkits (#5009)

Add Multi-CSV/DF support in CSV and DataFrame Toolkits
* CSV and DataFrame toolkits now accept list of CSVs/DFs
* Add default prompts for many dataframes in `pandas_dataframe` toolkit

Fixes #1958
Potentially fixes #4423

## Testing
* Add single and multi-dataframe integration tests for
`pandas_dataframe` toolkit with permutations of `include_df_in_prompt`
* Add single and multi-CSV integration tests for csv toolkit
---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
This commit is contained in:
Nicholas Liu 2023-05-25 14:23:11 -07:00 committed by GitHub
parent 3223a97dc6
commit 7652d2abb0
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
8 changed files with 1289 additions and 63 deletions

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@ -35,7 +35,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 4,
"id": "16c4dc59",
"metadata": {},
"outputs": [],
@ -45,7 +45,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 5,
"id": "46b9489d",
"metadata": {},
"outputs": [
@ -58,10 +58,10 @@
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3mThought: I need to count the number of rows\n",
"Action: python_repl_ast\n",
"Action Input: len(df)\u001b[0m\n",
"Action Input: df.shape[0]\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3m891\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: There are 891 rows in the dataframe.\u001b[0m\n",
"Final Answer: There are 891 rows.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
@ -69,10 +69,10 @@
{
"data": {
"text/plain": [
"'There are 891 rows in the dataframe.'"
"'There are 891 rows.'"
]
},
"execution_count": 4,
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@ -83,7 +83,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 6,
"id": "a96309be",
"metadata": {},
"outputs": [
@ -110,7 +110,7 @@
"'30 people have more than 3 siblings.'"
]
},
"execution_count": 5,
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@ -121,7 +121,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 7,
"id": "964a09f7",
"metadata": {},
"outputs": [
@ -136,15 +136,15 @@
"Action: python_repl_ast\n",
"Action Input: df['Age'].mean()\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3m29.69911764705882\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I can now calculate the square root\n",
"Thought:\u001b[32;1m\u001b[1;3m I now need to calculate the square root of the average age\n",
"Action: python_repl_ast\n",
"Action Input: math.sqrt(df['Age'].mean())\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mname 'math' is not defined\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mNameError(\"name 'math' is not defined\")\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to import the math library\n",
"Action: python_repl_ast\n",
"Action Input: import math\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3m\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I can now calculate the square root\n",
"Thought:\u001b[32;1m\u001b[1;3m I now need to calculate the square root of the average age\n",
"Action: python_repl_ast\n",
"Action Input: math.sqrt(df['Age'].mean())\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3m5.449689683556195\u001b[0m\n",
@ -160,7 +160,7 @@
"'5.449689683556195'"
]
},
"execution_count": 6,
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@ -169,10 +169,59 @@
"agent.run(\"whats the square root of the average age?\")"
]
},
{
"cell_type": "markdown",
"id": "09539c18",
"metadata": {},
"source": [
"### Multi CSV Example\n",
"\n",
"This next part shows how the agent can interact with multiple csv files passed in as a list."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "15f11fbd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3mThought: I need to compare the age columns in both dataframes\n",
"Action: python_repl_ast\n",
"Action Input: len(df1[df1['Age'] != df2['Age']])\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3m177\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: 177 rows in the age column are different.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'177 rows in the age column are different.'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"agent = create_csv_agent(OpenAI(temperature=0), ['titanic.csv', 'titanic_age_fillna.csv'], verbose=True)\n",
"agent.run(\"how many rows in the age column are different?\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "551de2be",
"id": "f2909808",
"metadata": {},
"outputs": [],
"source": []

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@ -14,7 +14,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 1,
"id": "0cdd9bf5",
"metadata": {},
"outputs": [],
@ -60,10 +60,10 @@
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3mThought: I need to count the number of rows\n",
"Action: python_repl_ast\n",
"Action Input: len(df)\u001b[0m\n",
"Action Input: df.shape[0]\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3m891\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: There are 891 rows in the dataframe.\u001b[0m\n",
"Final Answer: There are 891 rows.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
@ -71,7 +71,7 @@
{
"data": {
"text/plain": [
"'There are 891 rows in the dataframe.'"
"'There are 891 rows.'"
]
},
"execution_count": 4,
@ -138,20 +138,20 @@
"Action: python_repl_ast\n",
"Action Input: df['Age'].mean()\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3m29.69911764705882\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I can now calculate the square root\n",
"Thought:\u001b[32;1m\u001b[1;3m I now need to calculate the square root of the average age\n",
"Action: python_repl_ast\n",
"Action Input: math.sqrt(df['Age'].mean())\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mname 'math' is not defined\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mNameError(\"name 'math' is not defined\")\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to import the math library\n",
"Action: python_repl_ast\n",
"Action Input: import math\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mNone\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I can now calculate the square root\n",
"Observation: \u001b[36;1m\u001b[1;3m\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now need to calculate the square root of the average age\n",
"Action: python_repl_ast\n",
"Action Input: math.sqrt(df['Age'].mean())\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3m5.449689683556195\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: 5.449689683556195\u001b[0m\n",
"Final Answer: The square root of the average age is 5.449689683556195.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
@ -159,7 +159,7 @@
{
"data": {
"text/plain": [
"'5.449689683556195'"
"'The square root of the average age is 5.449689683556195.'"
]
},
"execution_count": 6,
@ -171,10 +171,71 @@
"agent.run(\"whats the square root of the average age?\")"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "c4bc0584",
"metadata": {},
"source": [
"### Multi DataFrame Example\n",
"\n",
"This next part shows how the agent can interact with multiple dataframes passed in as a list."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "42a15bd9",
"metadata": {},
"outputs": [],
"source": [
"df1 = df.copy()\n",
"df1[\"Age\"] = df1[\"Age\"].fillna(df1[\"Age\"].mean())"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "eba13b4d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3mThought: I need to compare the age columns in both dataframes\n",
"Action: python_repl_ast\n",
"Action Input: len(df1[df1['Age'] != df2['Age']])\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3m177\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: 177 rows in the age column are different.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'177 rows in the age column are different.'"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"agent = create_pandas_dataframe_agent(OpenAI(temperature=0), [df, df1], verbose=True)\n",
"agent.run(\"how many rows in the age column are different?\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "eba13b4d",
"id": "60d08a56",
"metadata": {},
"outputs": [],
"source": []
@ -196,7 +257,7 @@
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106,0,3,"Mionoff, Mr. Stoytcho",male,28.0,0,0,349207,7.8958,,S
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109,0,3,"Rekic, Mr. Tido",male,38.0,0,0,349249,7.8958,,S
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111,0,1,"Porter, Mr. Walter Chamberlain",male,47.0,0,0,110465,52.0,C110,S
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113,0,3,"Barton, Mr. David John",male,22.0,0,0,324669,8.05,,S
114,0,3,"Jussila, Miss. Katriina",female,20.0,1,0,4136,9.825,,S
115,0,3,"Attalah, Miss. Malake",female,17.0,0,0,2627,14.4583,,C
116,0,3,"Pekoniemi, Mr. Edvard",male,21.0,0,0,STON/O 2. 3101294,7.925,,S
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118,0,2,"Turpin, Mr. William John Robert",male,29.0,1,0,11668,21.0,,S
119,0,1,"Baxter, Mr. Quigg Edmond",male,24.0,0,1,PC 17558,247.5208,B58 B60,C
120,0,3,"Andersson, Miss. Ellis Anna Maria",female,2.0,4,2,347082,31.275,,S
121,0,2,"Hickman, Mr. Stanley George",male,21.0,2,0,S.O.C. 14879,73.5,,S
122,0,3,"Moore, Mr. Leonard Charles",male,29.69911764705882,0,0,A4. 54510,8.05,,S
123,0,2,"Nasser, Mr. Nicholas",male,32.5,1,0,237736,30.0708,,C
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128,1,3,"Madsen, Mr. Fridtjof Arne",male,24.0,0,0,C 17369,7.1417,,S
129,1,3,"Peter, Miss. Anna",female,29.69911764705882,1,1,2668,22.3583,F E69,C
130,0,3,"Ekstrom, Mr. Johan",male,45.0,0,0,347061,6.975,,S
131,0,3,"Drazenoic, Mr. Jozef",male,33.0,0,0,349241,7.8958,,C
132,0,3,"Coelho, Mr. Domingos Fernandeo",male,20.0,0,0,SOTON/O.Q. 3101307,7.05,,S
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134,1,2,"Weisz, Mrs. Leopold (Mathilde Francoise Pede)",female,29.0,1,0,228414,26.0,,S
135,0,2,"Sobey, Mr. Samuel James Hayden",male,25.0,0,0,C.A. 29178,13.0,,S
136,0,2,"Richard, Mr. Emile",male,23.0,0,0,SC/PARIS 2133,15.0458,,C
137,1,1,"Newsom, Miss. Helen Monypeny",female,19.0,0,2,11752,26.2833,D47,S
138,0,1,"Futrelle, Mr. Jacques Heath",male,37.0,1,0,113803,53.1,C123,S
139,0,3,"Osen, Mr. Olaf Elon",male,16.0,0,0,7534,9.2167,,S
140,0,1,"Giglio, Mr. Victor",male,24.0,0,0,PC 17593,79.2,B86,C
141,0,3,"Boulos, Mrs. Joseph (Sultana)",female,29.69911764705882,0,2,2678,15.2458,,C
142,1,3,"Nysten, Miss. Anna Sofia",female,22.0,0,0,347081,7.75,,S
143,1,3,"Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)",female,24.0,1,0,STON/O2. 3101279,15.85,,S
144,0,3,"Burke, Mr. Jeremiah",male,19.0,0,0,365222,6.75,,Q
145,0,2,"Andrew, Mr. Edgardo Samuel",male,18.0,0,0,231945,11.5,,S
146,0,2,"Nicholls, Mr. Joseph Charles",male,19.0,1,1,C.A. 33112,36.75,,S
147,1,3,"Andersson, Mr. August Edvard (""Wennerstrom"")",male,27.0,0,0,350043,7.7958,,S
148,0,3,"Ford, Miss. Robina Maggie ""Ruby""",female,9.0,2,2,W./C. 6608,34.375,,S
149,0,2,"Navratil, Mr. Michel (""Louis M Hoffman"")",male,36.5,0,2,230080,26.0,F2,S
150,0,2,"Byles, Rev. Thomas Roussel Davids",male,42.0,0,0,244310,13.0,,S
151,0,2,"Bateman, Rev. Robert James",male,51.0,0,0,S.O.P. 1166,12.525,,S
152,1,1,"Pears, Mrs. Thomas (Edith Wearne)",female,22.0,1,0,113776,66.6,C2,S
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154,0,3,"van Billiard, Mr. Austin Blyler",male,40.5,0,2,A/5. 851,14.5,,S
155,0,3,"Olsen, Mr. Ole Martin",male,29.69911764705882,0,0,Fa 265302,7.3125,,S
156,0,1,"Williams, Mr. Charles Duane",male,51.0,0,1,PC 17597,61.3792,,C
157,1,3,"Gilnagh, Miss. Katherine ""Katie""",female,16.0,0,0,35851,7.7333,,Q
158,0,3,"Corn, Mr. Harry",male,30.0,0,0,SOTON/OQ 392090,8.05,,S
159,0,3,"Smiljanic, Mr. Mile",male,29.69911764705882,0,0,315037,8.6625,,S
160,0,3,"Sage, Master. Thomas Henry",male,29.69911764705882,8,2,CA. 2343,69.55,,S
161,0,3,"Cribb, Mr. John Hatfield",male,44.0,0,1,371362,16.1,,S
162,1,2,"Watt, Mrs. James (Elizabeth ""Bessie"" Inglis Milne)",female,40.0,0,0,C.A. 33595,15.75,,S
163,0,3,"Bengtsson, Mr. John Viktor",male,26.0,0,0,347068,7.775,,S
164,0,3,"Calic, Mr. Jovo",male,17.0,0,0,315093,8.6625,,S
165,0,3,"Panula, Master. Eino Viljami",male,1.0,4,1,3101295,39.6875,,S
166,1,3,"Goldsmith, Master. Frank John William ""Frankie""",male,9.0,0,2,363291,20.525,,S
167,1,1,"Chibnall, Mrs. (Edith Martha Bowerman)",female,29.69911764705882,0,1,113505,55.0,E33,S
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169,0,1,"Baumann, Mr. John D",male,29.69911764705882,0,0,PC 17318,25.925,,S
170,0,3,"Ling, Mr. Lee",male,28.0,0,0,1601,56.4958,,S
171,0,1,"Van der hoef, Mr. Wyckoff",male,61.0,0,0,111240,33.5,B19,S
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173,1,3,"Johnson, Miss. Eleanor Ileen",female,1.0,1,1,347742,11.1333,,S
174,0,3,"Sivola, Mr. Antti Wilhelm",male,21.0,0,0,STON/O 2. 3101280,7.925,,S
175,0,1,"Smith, Mr. James Clinch",male,56.0,0,0,17764,30.6958,A7,C
176,0,3,"Klasen, Mr. Klas Albin",male,18.0,1,1,350404,7.8542,,S
177,0,3,"Lefebre, Master. Henry Forbes",male,29.69911764705882,3,1,4133,25.4667,,S
178,0,1,"Isham, Miss. Ann Elizabeth",female,50.0,0,0,PC 17595,28.7125,C49,C
179,0,2,"Hale, Mr. Reginald",male,30.0,0,0,250653,13.0,,S
180,0,3,"Leonard, Mr. Lionel",male,36.0,0,0,LINE,0.0,,S
181,0,3,"Sage, Miss. Constance Gladys",female,29.69911764705882,8,2,CA. 2343,69.55,,S
182,0,2,"Pernot, Mr. Rene",male,29.69911764705882,0,0,SC/PARIS 2131,15.05,,C
183,0,3,"Asplund, Master. Clarence Gustaf Hugo",male,9.0,4,2,347077,31.3875,,S
184,1,2,"Becker, Master. Richard F",male,1.0,2,1,230136,39.0,F4,S
185,1,3,"Kink-Heilmann, Miss. Luise Gretchen",female,4.0,0,2,315153,22.025,,S
186,0,1,"Rood, Mr. Hugh Roscoe",male,29.69911764705882,0,0,113767,50.0,A32,S
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188,1,1,"Romaine, Mr. Charles Hallace (""Mr C Rolmane"")",male,45.0,0,0,111428,26.55,,S
189,0,3,"Bourke, Mr. John",male,40.0,1,1,364849,15.5,,Q
190,0,3,"Turcin, Mr. Stjepan",male,36.0,0,0,349247,7.8958,,S
191,1,2,"Pinsky, Mrs. (Rosa)",female,32.0,0,0,234604,13.0,,S
192,0,2,"Carbines, Mr. William",male,19.0,0,0,28424,13.0,,S
193,1,3,"Andersen-Jensen, Miss. Carla Christine Nielsine",female,19.0,1,0,350046,7.8542,,S
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198,0,3,"Olsen, Mr. Karl Siegwart Andreas",male,42.0,0,1,4579,8.4042,,S
199,1,3,"Madigan, Miss. Margaret ""Maggie""",female,29.69911764705882,0,0,370370,7.75,,Q
200,0,2,"Yrois, Miss. Henriette (""Mrs Harbeck"")",female,24.0,0,0,248747,13.0,,S
201,0,3,"Vande Walle, Mr. Nestor Cyriel",male,28.0,0,0,345770,9.5,,S
202,0,3,"Sage, Mr. Frederick",male,29.69911764705882,8,2,CA. 2343,69.55,,S
203,0,3,"Johanson, Mr. Jakob Alfred",male,34.0,0,0,3101264,6.4958,,S
204,0,3,"Youseff, Mr. Gerious",male,45.5,0,0,2628,7.225,,C
205,1,3,"Cohen, Mr. Gurshon ""Gus""",male,18.0,0,0,A/5 3540,8.05,,S
206,0,3,"Strom, Miss. Telma Matilda",female,2.0,0,1,347054,10.4625,G6,S
207,0,3,"Backstrom, Mr. Karl Alfred",male,32.0,1,0,3101278,15.85,,S
208,1,3,"Albimona, Mr. Nassef Cassem",male,26.0,0,0,2699,18.7875,,C
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210,1,1,"Blank, Mr. Henry",male,40.0,0,0,112277,31.0,A31,C
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212,1,2,"Cameron, Miss. Clear Annie",female,35.0,0,0,F.C.C. 13528,21.0,,S
213,0,3,"Perkin, Mr. John Henry",male,22.0,0,0,A/5 21174,7.25,,S
214,0,2,"Givard, Mr. Hans Kristensen",male,30.0,0,0,250646,13.0,,S
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218,0,2,"Jacobsohn, Mr. Sidney Samuel",male,42.0,1,0,243847,27.0,,S
219,1,1,"Bazzani, Miss. Albina",female,32.0,0,0,11813,76.2917,D15,C
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221,1,3,"Sunderland, Mr. Victor Francis",male,16.0,0,0,SOTON/OQ 392089,8.05,,S
222,0,2,"Bracken, Mr. James H",male,27.0,0,0,220367,13.0,,S
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224,0,3,"Nenkoff, Mr. Christo",male,29.69911764705882,0,0,349234,7.8958,,S
225,1,1,"Hoyt, Mr. Frederick Maxfield",male,38.0,1,0,19943,90.0,C93,S
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227,1,2,"Mellors, Mr. William John",male,19.0,0,0,SW/PP 751,10.5,,S
228,0,3,"Lovell, Mr. John Hall (""Henry"")",male,20.5,0,0,A/5 21173,7.25,,S
229,0,2,"Fahlstrom, Mr. Arne Jonas",male,18.0,0,0,236171,13.0,,S
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231,1,1,"Harris, Mrs. Henry Birkhardt (Irene Wallach)",female,35.0,1,0,36973,83.475,C83,S
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234,1,3,"Asplund, Miss. Lillian Gertrud",female,5.0,4,2,347077,31.3875,,S
235,0,2,"Leyson, Mr. Robert William Norman",male,24.0,0,0,C.A. 29566,10.5,,S
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237,0,2,"Hold, Mr. Stephen",male,44.0,1,0,26707,26.0,,S
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239,0,2,"Pengelly, Mr. Frederick William",male,19.0,0,0,28665,10.5,,S
240,0,2,"Hunt, Mr. George Henry",male,33.0,0,0,SCO/W 1585,12.275,,S
241,0,3,"Zabour, Miss. Thamine",female,29.69911764705882,1,0,2665,14.4542,,C
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243,0,2,"Coleridge, Mr. Reginald Charles",male,29.0,0,0,W./C. 14263,10.5,,S
244,0,3,"Maenpaa, Mr. Matti Alexanteri",male,22.0,0,0,STON/O 2. 3101275,7.125,,S
245,0,3,"Attalah, Mr. Sleiman",male,30.0,0,0,2694,7.225,,C
246,0,1,"Minahan, Dr. William Edward",male,44.0,2,0,19928,90.0,C78,Q
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248,1,2,"Hamalainen, Mrs. William (Anna)",female,24.0,0,2,250649,14.5,,S
249,1,1,"Beckwith, Mr. Richard Leonard",male,37.0,1,1,11751,52.5542,D35,S
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256,1,3,"Touma, Mrs. Darwis (Hanne Youssef Razi)",female,29.0,0,2,2650,15.2458,,C
257,1,1,"Thorne, Mrs. Gertrude Maybelle",female,29.69911764705882,0,0,PC 17585,79.2,,C
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260,1,2,"Parrish, Mrs. (Lutie Davis)",female,50.0,0,1,230433,26.0,,S
261,0,3,"Smith, Mr. Thomas",male,29.69911764705882,0,0,384461,7.75,,Q
262,1,3,"Asplund, Master. Edvin Rojj Felix",male,3.0,4,2,347077,31.3875,,S
263,0,1,"Taussig, Mr. Emil",male,52.0,1,1,110413,79.65,E67,S
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268,1,3,"Persson, Mr. Ernst Ulrik",male,25.0,1,0,347083,7.775,,S
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280,1,3,"Abbott, Mrs. Stanton (Rosa Hunt)",female,35.0,1,1,C.A. 2673,20.25,,S
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282,0,3,"Olsson, Mr. Nils Johan Goransson",male,28.0,0,0,347464,7.8542,,S
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295,0,3,"Mineff, Mr. Ivan",male,24.0,0,0,349233,7.8958,,S
296,0,1,"Lewy, Mr. Ervin G",male,29.69911764705882,0,0,PC 17612,27.7208,,C
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298,0,1,"Allison, Miss. Helen Loraine",female,2.0,1,2,113781,151.55,C22 C26,S
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316,1,3,"Nilsson, Miss. Helmina Josefina",female,26.0,0,0,347470,7.8542,,S
317,1,2,"Kantor, Mrs. Sinai (Miriam Sternin)",female,24.0,1,0,244367,26.0,,S
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323,1,2,"Slayter, Miss. Hilda Mary",female,30.0,0,0,234818,12.35,,Q
324,1,2,"Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh)",female,22.0,1,1,248738,29.0,,S
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336,0,3,"Denkoff, Mr. Mitto",male,29.69911764705882,0,0,349225,7.8958,,S
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344,0,2,"Sedgwick, Mr. Charles Frederick Waddington",male,25.0,0,0,244361,13.0,,S
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356,0,3,"Vanden Steen, Mr. Leo Peter",male,28.0,0,0,345783,9.5,,S
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360,1,3,"Mockler, Miss. Helen Mary ""Ellie""",female,29.69911764705882,0,0,330980,7.8792,,Q
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363,0,3,"Barbara, Mrs. (Catherine David)",female,45.0,0,1,2691,14.4542,,C
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373,0,3,"Beavan, Mr. William Thomas",male,19.0,0,0,323951,8.05,,S
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380,0,3,"Gustafsson, Mr. Karl Gideon",male,19.0,0,0,347069,7.775,,S
381,1,1,"Bidois, Miss. Rosalie",female,42.0,0,0,PC 17757,227.525,,C
382,1,3,"Nakid, Miss. Maria (""Mary"")",female,1.0,0,2,2653,15.7417,,C
383,0,3,"Tikkanen, Mr. Juho",male,32.0,0,0,STON/O 2. 3101293,7.925,,S
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385,0,3,"Plotcharsky, Mr. Vasil",male,29.69911764705882,0,0,349227,7.8958,,S
386,0,2,"Davies, Mr. Charles Henry",male,18.0,0,0,S.O.C. 14879,73.5,,S
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389,0,3,"Sadlier, Mr. Matthew",male,29.69911764705882,0,0,367655,7.7292,,Q
390,1,2,"Lehmann, Miss. Bertha",female,17.0,0,0,SC 1748,12.0,,C
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393,0,3,"Gustafsson, Mr. Johan Birger",male,28.0,2,0,3101277,7.925,,S
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411,0,3,"Sdycoff, Mr. Todor",male,29.69911764705882,0,0,349222,7.8958,,S
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414,0,2,"Cunningham, Mr. Alfred Fleming",male,29.69911764705882,0,0,239853,0.0,,S
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424,0,3,"Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren)",female,28.0,1,1,347080,14.4,,S
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510,1,3,"Lang, Mr. Fang",male,26.0,0,0,1601,56.4958,,S
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556,0,1,"Wright, Mr. George",male,62.0,0,0,113807,26.55,,S
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716,0,3,"Soholt, Mr. Peter Andreas Lauritz Andersen",male,19.0,0,0,348124,7.65,F G73,S
717,1,1,"Endres, Miss. Caroline Louise",female,38.0,0,0,PC 17757,227.525,C45,C
718,1,2,"Troutt, Miss. Edwina Celia ""Winnie""",female,27.0,0,0,34218,10.5,E101,S
719,0,3,"McEvoy, Mr. Michael",male,29.69911764705882,0,0,36568,15.5,,Q
720,0,3,"Johnson, Mr. Malkolm Joackim",male,33.0,0,0,347062,7.775,,S
721,1,2,"Harper, Miss. Annie Jessie ""Nina""",female,6.0,0,1,248727,33.0,,S
722,0,3,"Jensen, Mr. Svend Lauritz",male,17.0,1,0,350048,7.0542,,S
723,0,2,"Gillespie, Mr. William Henry",male,34.0,0,0,12233,13.0,,S
724,0,2,"Hodges, Mr. Henry Price",male,50.0,0,0,250643,13.0,,S
725,1,1,"Chambers, Mr. Norman Campbell",male,27.0,1,0,113806,53.1,E8,S
726,0,3,"Oreskovic, Mr. Luka",male,20.0,0,0,315094,8.6625,,S
727,1,2,"Renouf, Mrs. Peter Henry (Lillian Jefferys)",female,30.0,3,0,31027,21.0,,S
728,1,3,"Mannion, Miss. Margareth",female,29.69911764705882,0,0,36866,7.7375,,Q
729,0,2,"Bryhl, Mr. Kurt Arnold Gottfrid",male,25.0,1,0,236853,26.0,,S
730,0,3,"Ilmakangas, Miss. Pieta Sofia",female,25.0,1,0,STON/O2. 3101271,7.925,,S
731,1,1,"Allen, Miss. Elisabeth Walton",female,29.0,0,0,24160,211.3375,B5,S
732,0,3,"Hassan, Mr. Houssein G N",male,11.0,0,0,2699,18.7875,,C
733,0,2,"Knight, Mr. Robert J",male,29.69911764705882,0,0,239855,0.0,,S
734,0,2,"Berriman, Mr. William John",male,23.0,0,0,28425,13.0,,S
735,0,2,"Troupiansky, Mr. Moses Aaron",male,23.0,0,0,233639,13.0,,S
736,0,3,"Williams, Mr. Leslie",male,28.5,0,0,54636,16.1,,S
737,0,3,"Ford, Mrs. Edward (Margaret Ann Watson)",female,48.0,1,3,W./C. 6608,34.375,,S
738,1,1,"Lesurer, Mr. Gustave J",male,35.0,0,0,PC 17755,512.3292,B101,C
739,0,3,"Ivanoff, Mr. Kanio",male,29.69911764705882,0,0,349201,7.8958,,S
740,0,3,"Nankoff, Mr. Minko",male,29.69911764705882,0,0,349218,7.8958,,S
741,1,1,"Hawksford, Mr. Walter James",male,29.69911764705882,0,0,16988,30.0,D45,S
742,0,1,"Cavendish, Mr. Tyrell William",male,36.0,1,0,19877,78.85,C46,S
743,1,1,"Ryerson, Miss. Susan Parker ""Suzette""",female,21.0,2,2,PC 17608,262.375,B57 B59 B63 B66,C
744,0,3,"McNamee, Mr. Neal",male,24.0,1,0,376566,16.1,,S
745,1,3,"Stranden, Mr. Juho",male,31.0,0,0,STON/O 2. 3101288,7.925,,S
746,0,1,"Crosby, Capt. Edward Gifford",male,70.0,1,1,WE/P 5735,71.0,B22,S
747,0,3,"Abbott, Mr. Rossmore Edward",male,16.0,1,1,C.A. 2673,20.25,,S
748,1,2,"Sinkkonen, Miss. Anna",female,30.0,0,0,250648,13.0,,S
749,0,1,"Marvin, Mr. Daniel Warner",male,19.0,1,0,113773,53.1,D30,S
750,0,3,"Connaghton, Mr. Michael",male,31.0,0,0,335097,7.75,,Q
751,1,2,"Wells, Miss. Joan",female,4.0,1,1,29103,23.0,,S
752,1,3,"Moor, Master. Meier",male,6.0,0,1,392096,12.475,E121,S
753,0,3,"Vande Velde, Mr. Johannes Joseph",male,33.0,0,0,345780,9.5,,S
754,0,3,"Jonkoff, Mr. Lalio",male,23.0,0,0,349204,7.8958,,S
755,1,2,"Herman, Mrs. Samuel (Jane Laver)",female,48.0,1,2,220845,65.0,,S
756,1,2,"Hamalainen, Master. Viljo",male,0.67,1,1,250649,14.5,,S
757,0,3,"Carlsson, Mr. August Sigfrid",male,28.0,0,0,350042,7.7958,,S
758,0,2,"Bailey, Mr. Percy Andrew",male,18.0,0,0,29108,11.5,,S
759,0,3,"Theobald, Mr. Thomas Leonard",male,34.0,0,0,363294,8.05,,S
760,1,1,"Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)",female,33.0,0,0,110152,86.5,B77,S
761,0,3,"Garfirth, Mr. John",male,29.69911764705882,0,0,358585,14.5,,S
762,0,3,"Nirva, Mr. Iisakki Antino Aijo",male,41.0,0,0,SOTON/O2 3101272,7.125,,S
763,1,3,"Barah, Mr. Hanna Assi",male,20.0,0,0,2663,7.2292,,C
764,1,1,"Carter, Mrs. William Ernest (Lucile Polk)",female,36.0,1,2,113760,120.0,B96 B98,S
765,0,3,"Eklund, Mr. Hans Linus",male,16.0,0,0,347074,7.775,,S
766,1,1,"Hogeboom, Mrs. John C (Anna Andrews)",female,51.0,1,0,13502,77.9583,D11,S
767,0,1,"Brewe, Dr. Arthur Jackson",male,29.69911764705882,0,0,112379,39.6,,C
768,0,3,"Mangan, Miss. Mary",female,30.5,0,0,364850,7.75,,Q
769,0,3,"Moran, Mr. Daniel J",male,29.69911764705882,1,0,371110,24.15,,Q
770,0,3,"Gronnestad, Mr. Daniel Danielsen",male,32.0,0,0,8471,8.3625,,S
771,0,3,"Lievens, Mr. Rene Aime",male,24.0,0,0,345781,9.5,,S
772,0,3,"Jensen, Mr. Niels Peder",male,48.0,0,0,350047,7.8542,,S
773,0,2,"Mack, Mrs. (Mary)",female,57.0,0,0,S.O./P.P. 3,10.5,E77,S
774,0,3,"Elias, Mr. Dibo",male,29.69911764705882,0,0,2674,7.225,,C
775,1,2,"Hocking, Mrs. Elizabeth (Eliza Needs)",female,54.0,1,3,29105,23.0,,S
776,0,3,"Myhrman, Mr. Pehr Fabian Oliver Malkolm",male,18.0,0,0,347078,7.75,,S
777,0,3,"Tobin, Mr. Roger",male,29.69911764705882,0,0,383121,7.75,F38,Q
778,1,3,"Emanuel, Miss. Virginia Ethel",female,5.0,0,0,364516,12.475,,S
779,0,3,"Kilgannon, Mr. Thomas J",male,29.69911764705882,0,0,36865,7.7375,,Q
780,1,1,"Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)",female,43.0,0,1,24160,211.3375,B3,S
781,1,3,"Ayoub, Miss. Banoura",female,13.0,0,0,2687,7.2292,,C
782,1,1,"Dick, Mrs. Albert Adrian (Vera Gillespie)",female,17.0,1,0,17474,57.0,B20,S
783,0,1,"Long, Mr. Milton Clyde",male,29.0,0,0,113501,30.0,D6,S
784,0,3,"Johnston, Mr. Andrew G",male,29.69911764705882,1,2,W./C. 6607,23.45,,S
785,0,3,"Ali, Mr. William",male,25.0,0,0,SOTON/O.Q. 3101312,7.05,,S
786,0,3,"Harmer, Mr. Abraham (David Lishin)",male,25.0,0,0,374887,7.25,,S
787,1,3,"Sjoblom, Miss. Anna Sofia",female,18.0,0,0,3101265,7.4958,,S
788,0,3,"Rice, Master. George Hugh",male,8.0,4,1,382652,29.125,,Q
789,1,3,"Dean, Master. Bertram Vere",male,1.0,1,2,C.A. 2315,20.575,,S
790,0,1,"Guggenheim, Mr. Benjamin",male,46.0,0,0,PC 17593,79.2,B82 B84,C
791,0,3,"Keane, Mr. Andrew ""Andy""",male,29.69911764705882,0,0,12460,7.75,,Q
792,0,2,"Gaskell, Mr. Alfred",male,16.0,0,0,239865,26.0,,S
793,0,3,"Sage, Miss. Stella Anna",female,29.69911764705882,8,2,CA. 2343,69.55,,S
794,0,1,"Hoyt, Mr. William Fisher",male,29.69911764705882,0,0,PC 17600,30.6958,,C
795,0,3,"Dantcheff, Mr. Ristiu",male,25.0,0,0,349203,7.8958,,S
796,0,2,"Otter, Mr. Richard",male,39.0,0,0,28213,13.0,,S
797,1,1,"Leader, Dr. Alice (Farnham)",female,49.0,0,0,17465,25.9292,D17,S
798,1,3,"Osman, Mrs. Mara",female,31.0,0,0,349244,8.6833,,S
799,0,3,"Ibrahim Shawah, Mr. Yousseff",male,30.0,0,0,2685,7.2292,,C
800,0,3,"Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)",female,30.0,1,1,345773,24.15,,S
801,0,2,"Ponesell, Mr. Martin",male,34.0,0,0,250647,13.0,,S
802,1,2,"Collyer, Mrs. Harvey (Charlotte Annie Tate)",female,31.0,1,1,C.A. 31921,26.25,,S
803,1,1,"Carter, Master. William Thornton II",male,11.0,1,2,113760,120.0,B96 B98,S
804,1,3,"Thomas, Master. Assad Alexander",male,0.42,0,1,2625,8.5167,,C
805,1,3,"Hedman, Mr. Oskar Arvid",male,27.0,0,0,347089,6.975,,S
806,0,3,"Johansson, Mr. Karl Johan",male,31.0,0,0,347063,7.775,,S
807,0,1,"Andrews, Mr. Thomas Jr",male,39.0,0,0,112050,0.0,A36,S
808,0,3,"Pettersson, Miss. Ellen Natalia",female,18.0,0,0,347087,7.775,,S
809,0,2,"Meyer, Mr. August",male,39.0,0,0,248723,13.0,,S
810,1,1,"Chambers, Mrs. Norman Campbell (Bertha Griggs)",female,33.0,1,0,113806,53.1,E8,S
811,0,3,"Alexander, Mr. William",male,26.0,0,0,3474,7.8875,,S
812,0,3,"Lester, Mr. James",male,39.0,0,0,A/4 48871,24.15,,S
813,0,2,"Slemen, Mr. Richard James",male,35.0,0,0,28206,10.5,,S
814,0,3,"Andersson, Miss. Ebba Iris Alfrida",female,6.0,4,2,347082,31.275,,S
815,0,3,"Tomlin, Mr. Ernest Portage",male,30.5,0,0,364499,8.05,,S
816,0,1,"Fry, Mr. Richard",male,29.69911764705882,0,0,112058,0.0,B102,S
817,0,3,"Heininen, Miss. Wendla Maria",female,23.0,0,0,STON/O2. 3101290,7.925,,S
818,0,2,"Mallet, Mr. Albert",male,31.0,1,1,S.C./PARIS 2079,37.0042,,C
819,0,3,"Holm, Mr. John Fredrik Alexander",male,43.0,0,0,C 7075,6.45,,S
820,0,3,"Skoog, Master. Karl Thorsten",male,10.0,3,2,347088,27.9,,S
821,1,1,"Hays, Mrs. Charles Melville (Clara Jennings Gregg)",female,52.0,1,1,12749,93.5,B69,S
822,1,3,"Lulic, Mr. Nikola",male,27.0,0,0,315098,8.6625,,S
823,0,1,"Reuchlin, Jonkheer. John George",male,38.0,0,0,19972,0.0,,S
824,1,3,"Moor, Mrs. (Beila)",female,27.0,0,1,392096,12.475,E121,S
825,0,3,"Panula, Master. Urho Abraham",male,2.0,4,1,3101295,39.6875,,S
826,0,3,"Flynn, Mr. John",male,29.69911764705882,0,0,368323,6.95,,Q
827,0,3,"Lam, Mr. Len",male,29.69911764705882,0,0,1601,56.4958,,S
828,1,2,"Mallet, Master. Andre",male,1.0,0,2,S.C./PARIS 2079,37.0042,,C
829,1,3,"McCormack, Mr. Thomas Joseph",male,29.69911764705882,0,0,367228,7.75,,Q
830,1,1,"Stone, Mrs. George Nelson (Martha Evelyn)",female,62.0,0,0,113572,80.0,B28,
831,1,3,"Yasbeck, Mrs. Antoni (Selini Alexander)",female,15.0,1,0,2659,14.4542,,C
832,1,2,"Richards, Master. George Sibley",male,0.83,1,1,29106,18.75,,S
833,0,3,"Saad, Mr. Amin",male,29.69911764705882,0,0,2671,7.2292,,C
834,0,3,"Augustsson, Mr. Albert",male,23.0,0,0,347468,7.8542,,S
835,0,3,"Allum, Mr. Owen George",male,18.0,0,0,2223,8.3,,S
836,1,1,"Compton, Miss. Sara Rebecca",female,39.0,1,1,PC 17756,83.1583,E49,C
837,0,3,"Pasic, Mr. Jakob",male,21.0,0,0,315097,8.6625,,S
838,0,3,"Sirota, Mr. Maurice",male,29.69911764705882,0,0,392092,8.05,,S
839,1,3,"Chip, Mr. Chang",male,32.0,0,0,1601,56.4958,,S
840,1,1,"Marechal, Mr. Pierre",male,29.69911764705882,0,0,11774,29.7,C47,C
841,0,3,"Alhomaki, Mr. Ilmari Rudolf",male,20.0,0,0,SOTON/O2 3101287,7.925,,S
842,0,2,"Mudd, Mr. Thomas Charles",male,16.0,0,0,S.O./P.P. 3,10.5,,S
843,1,1,"Serepeca, Miss. Augusta",female,30.0,0,0,113798,31.0,,C
844,0,3,"Lemberopolous, Mr. Peter L",male,34.5,0,0,2683,6.4375,,C
845,0,3,"Culumovic, Mr. Jeso",male,17.0,0,0,315090,8.6625,,S
846,0,3,"Abbing, Mr. Anthony",male,42.0,0,0,C.A. 5547,7.55,,S
847,0,3,"Sage, Mr. Douglas Bullen",male,29.69911764705882,8,2,CA. 2343,69.55,,S
848,0,3,"Markoff, Mr. Marin",male,35.0,0,0,349213,7.8958,,C
849,0,2,"Harper, Rev. John",male,28.0,0,1,248727,33.0,,S
850,1,1,"Goldenberg, Mrs. Samuel L (Edwiga Grabowska)",female,29.69911764705882,1,0,17453,89.1042,C92,C
851,0,3,"Andersson, Master. Sigvard Harald Elias",male,4.0,4,2,347082,31.275,,S
852,0,3,"Svensson, Mr. Johan",male,74.0,0,0,347060,7.775,,S
853,0,3,"Boulos, Miss. Nourelain",female,9.0,1,1,2678,15.2458,,C
854,1,1,"Lines, Miss. Mary Conover",female,16.0,0,1,PC 17592,39.4,D28,S
855,0,2,"Carter, Mrs. Ernest Courtenay (Lilian Hughes)",female,44.0,1,0,244252,26.0,,S
856,1,3,"Aks, Mrs. Sam (Leah Rosen)",female,18.0,0,1,392091,9.35,,S
857,1,1,"Wick, Mrs. George Dennick (Mary Hitchcock)",female,45.0,1,1,36928,164.8667,,S
858,1,1,"Daly, Mr. Peter Denis ",male,51.0,0,0,113055,26.55,E17,S
859,1,3,"Baclini, Mrs. Solomon (Latifa Qurban)",female,24.0,0,3,2666,19.2583,,C
860,0,3,"Razi, Mr. Raihed",male,29.69911764705882,0,0,2629,7.2292,,C
861,0,3,"Hansen, Mr. Claus Peter",male,41.0,2,0,350026,14.1083,,S
862,0,2,"Giles, Mr. Frederick Edward",male,21.0,1,0,28134,11.5,,S
863,1,1,"Swift, Mrs. Frederick Joel (Margaret Welles Barron)",female,48.0,0,0,17466,25.9292,D17,S
864,0,3,"Sage, Miss. Dorothy Edith ""Dolly""",female,29.69911764705882,8,2,CA. 2343,69.55,,S
865,0,2,"Gill, Mr. John William",male,24.0,0,0,233866,13.0,,S
866,1,2,"Bystrom, Mrs. (Karolina)",female,42.0,0,0,236852,13.0,,S
867,1,2,"Duran y More, Miss. Asuncion",female,27.0,1,0,SC/PARIS 2149,13.8583,,C
868,0,1,"Roebling, Mr. Washington Augustus II",male,31.0,0,0,PC 17590,50.4958,A24,S
869,0,3,"van Melkebeke, Mr. Philemon",male,29.69911764705882,0,0,345777,9.5,,S
870,1,3,"Johnson, Master. Harold Theodor",male,4.0,1,1,347742,11.1333,,S
871,0,3,"Balkic, Mr. Cerin",male,26.0,0,0,349248,7.8958,,S
872,1,1,"Beckwith, Mrs. Richard Leonard (Sallie Monypeny)",female,47.0,1,1,11751,52.5542,D35,S
873,0,1,"Carlsson, Mr. Frans Olof",male,33.0,0,0,695,5.0,B51 B53 B55,S
874,0,3,"Vander Cruyssen, Mr. Victor",male,47.0,0,0,345765,9.0,,S
875,1,2,"Abelson, Mrs. Samuel (Hannah Wizosky)",female,28.0,1,0,P/PP 3381,24.0,,C
876,1,3,"Najib, Miss. Adele Kiamie ""Jane""",female,15.0,0,0,2667,7.225,,C
877,0,3,"Gustafsson, Mr. Alfred Ossian",male,20.0,0,0,7534,9.8458,,S
878,0,3,"Petroff, Mr. Nedelio",male,19.0,0,0,349212,7.8958,,S
879,0,3,"Laleff, Mr. Kristo",male,29.69911764705882,0,0,349217,7.8958,,S
880,1,1,"Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)",female,56.0,0,1,11767,83.1583,C50,C
881,1,2,"Shelley, Mrs. William (Imanita Parrish Hall)",female,25.0,0,1,230433,26.0,,S
882,0,3,"Markun, Mr. Johann",male,33.0,0,0,349257,7.8958,,S
883,0,3,"Dahlberg, Miss. Gerda Ulrika",female,22.0,0,0,7552,10.5167,,S
884,0,2,"Banfield, Mr. Frederick James",male,28.0,0,0,C.A./SOTON 34068,10.5,,S
885,0,3,"Sutehall, Mr. Henry Jr",male,25.0,0,0,SOTON/OQ 392076,7.05,,S
886,0,3,"Rice, Mrs. William (Margaret Norton)",female,39.0,0,5,382652,29.125,,Q
887,0,2,"Montvila, Rev. Juozas",male,27.0,0,0,211536,13.0,,S
888,1,1,"Graham, Miss. Margaret Edith",female,19.0,0,0,112053,30.0,B42,S
889,0,3,"Johnston, Miss. Catherine Helen ""Carrie""",female,29.69911764705882,1,2,W./C. 6607,23.45,,S
890,1,1,"Behr, Mr. Karl Howell",male,26.0,0,0,111369,30.0,C148,C
891,0,3,"Dooley, Mr. Patrick",male,32.0,0,0,370376,7.75,,Q
1 PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked
2 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.25 S
3 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Thayer) female 38.0 1 0 PC 17599 71.2833 C85 C
4 3 1 3 Heikkinen, Miss. Laina female 26.0 0 0 STON/O2. 3101282 7.925 S
5 4 1 1 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 0 113803 53.1 C123 S
6 5 0 3 Allen, Mr. William Henry male 35.0 0 0 373450 8.05 S
7 6 0 3 Moran, Mr. James male 29.69911764705882 0 0 330877 8.4583 Q
8 7 0 1 McCarthy, Mr. Timothy J male 54.0 0 0 17463 51.8625 E46 S
9 8 0 3 Palsson, Master. Gosta Leonard male 2.0 3 1 349909 21.075 S
10 9 1 3 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 2 347742 11.1333 S
11 10 1 2 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 0 237736 30.0708 C
12 11 1 3 Sandstrom, Miss. Marguerite Rut female 4.0 1 1 PP 9549 16.7 G6 S
13 12 1 1 Bonnell, Miss. Elizabeth female 58.0 0 0 113783 26.55 C103 S
14 13 0 3 Saundercock, Mr. William Henry male 20.0 0 0 A/5. 2151 8.05 S
15 14 0 3 Andersson, Mr. Anders Johan male 39.0 1 5 347082 31.275 S
16 15 0 3 Vestrom, Miss. Hulda Amanda Adolfina female 14.0 0 0 350406 7.8542 S
17 16 1 2 Hewlett, Mrs. (Mary D Kingcome) female 55.0 0 0 248706 16.0 S
18 17 0 3 Rice, Master. Eugene male 2.0 4 1 382652 29.125 Q
19 18 1 2 Williams, Mr. Charles Eugene male 29.69911764705882 0 0 244373 13.0 S
20 19 0 3 Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele) female 31.0 1 0 345763 18.0 S
21 20 1 3 Masselmani, Mrs. Fatima female 29.69911764705882 0 0 2649 7.225 C
22 21 0 2 Fynney, Mr. Joseph J male 35.0 0 0 239865 26.0 S
23 22 1 2 Beesley, Mr. Lawrence male 34.0 0 0 248698 13.0 D56 S
24 23 1 3 McGowan, Miss. Anna "Annie" female 15.0 0 0 330923 8.0292 Q
25 24 1 1 Sloper, Mr. William Thompson male 28.0 0 0 113788 35.5 A6 S
26 25 0 3 Palsson, Miss. Torborg Danira female 8.0 3 1 349909 21.075 S
27 26 1 3 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson) female 38.0 1 5 347077 31.3875 S
28 27 0 3 Emir, Mr. Farred Chehab male 29.69911764705882 0 0 2631 7.225 C
29 28 0 1 Fortune, Mr. Charles Alexander male 19.0 3 2 19950 263.0 C23 C25 C27 S
30 29 1 3 O'Dwyer, Miss. Ellen "Nellie" female 29.69911764705882 0 0 330959 7.8792 Q
31 30 0 3 Todoroff, Mr. Lalio male 29.69911764705882 0 0 349216 7.8958 S
32 31 0 1 Uruchurtu, Don. Manuel E male 40.0 0 0 PC 17601 27.7208 C
33 32 1 1 Spencer, Mrs. William Augustus (Marie Eugenie) female 29.69911764705882 1 0 PC 17569 146.5208 B78 C
34 33 1 3 Glynn, Miss. Mary Agatha female 29.69911764705882 0 0 335677 7.75 Q
35 34 0 2 Wheadon, Mr. Edward H male 66.0 0 0 C.A. 24579 10.5 S
36 35 0 1 Meyer, Mr. Edgar Joseph male 28.0 1 0 PC 17604 82.1708 C
37 36 0 1 Holverson, Mr. Alexander Oskar male 42.0 1 0 113789 52.0 S
38 37 1 3 Mamee, Mr. Hanna male 29.69911764705882 0 0 2677 7.2292 C
39 38 0 3 Cann, Mr. Ernest Charles male 21.0 0 0 A./5. 2152 8.05 S
40 39 0 3 Vander Planke, Miss. Augusta Maria female 18.0 2 0 345764 18.0 S
41 40 1 3 Nicola-Yarred, Miss. Jamila female 14.0 1 0 2651 11.2417 C
42 41 0 3 Ahlin, Mrs. Johan (Johanna Persdotter Larsson) female 40.0 1 0 7546 9.475 S
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855 854 1 1 Lines, Miss. Mary Conover female 16.0 0 1 PC 17592 39.4 D28 S
856 855 0 2 Carter, Mrs. Ernest Courtenay (Lilian Hughes) female 44.0 1 0 244252 26.0 S
857 856 1 3 Aks, Mrs. Sam (Leah Rosen) female 18.0 0 1 392091 9.35 S
858 857 1 1 Wick, Mrs. George Dennick (Mary Hitchcock) female 45.0 1 1 36928 164.8667 S
859 858 1 1 Daly, Mr. Peter Denis male 51.0 0 0 113055 26.55 E17 S
860 859 1 3 Baclini, Mrs. Solomon (Latifa Qurban) female 24.0 0 3 2666 19.2583 C
861 860 0 3 Razi, Mr. Raihed male 29.69911764705882 0 0 2629 7.2292 C
862 861 0 3 Hansen, Mr. Claus Peter male 41.0 2 0 350026 14.1083 S
863 862 0 2 Giles, Mr. Frederick Edward male 21.0 1 0 28134 11.5 S
864 863 1 1 Swift, Mrs. Frederick Joel (Margaret Welles Barron) female 48.0 0 0 17466 25.9292 D17 S
865 864 0 3 Sage, Miss. Dorothy Edith "Dolly" female 29.69911764705882 8 2 CA. 2343 69.55 S
866 865 0 2 Gill, Mr. John William male 24.0 0 0 233866 13.0 S
867 866 1 2 Bystrom, Mrs. (Karolina) female 42.0 0 0 236852 13.0 S
868 867 1 2 Duran y More, Miss. Asuncion female 27.0 1 0 SC/PARIS 2149 13.8583 C
869 868 0 1 Roebling, Mr. Washington Augustus II male 31.0 0 0 PC 17590 50.4958 A24 S
870 869 0 3 van Melkebeke, Mr. Philemon male 29.69911764705882 0 0 345777 9.5 S
871 870 1 3 Johnson, Master. Harold Theodor male 4.0 1 1 347742 11.1333 S
872 871 0 3 Balkic, Mr. Cerin male 26.0 0 0 349248 7.8958 S
873 872 1 1 Beckwith, Mrs. Richard Leonard (Sallie Monypeny) female 47.0 1 1 11751 52.5542 D35 S
874 873 0 1 Carlsson, Mr. Frans Olof male 33.0 0 0 695 5.0 B51 B53 B55 S
875 874 0 3 Vander Cruyssen, Mr. Victor male 47.0 0 0 345765 9.0 S
876 875 1 2 Abelson, Mrs. Samuel (Hannah Wizosky) female 28.0 1 0 P/PP 3381 24.0 C
877 876 1 3 Najib, Miss. Adele Kiamie "Jane" female 15.0 0 0 2667 7.225 C
878 877 0 3 Gustafsson, Mr. Alfred Ossian male 20.0 0 0 7534 9.8458 S
879 878 0 3 Petroff, Mr. Nedelio male 19.0 0 0 349212 7.8958 S
880 879 0 3 Laleff, Mr. Kristo male 29.69911764705882 0 0 349217 7.8958 S
881 880 1 1 Potter, Mrs. Thomas Jr (Lily Alexenia Wilson) female 56.0 0 1 11767 83.1583 C50 C
882 881 1 2 Shelley, Mrs. William (Imanita Parrish Hall) female 25.0 0 1 230433 26.0 S
883 882 0 3 Markun, Mr. Johann male 33.0 0 0 349257 7.8958 S
884 883 0 3 Dahlberg, Miss. Gerda Ulrika female 22.0 0 0 7552 10.5167 S
885 884 0 2 Banfield, Mr. Frederick James male 28.0 0 0 C.A./SOTON 34068 10.5 S
886 885 0 3 Sutehall, Mr. Henry Jr male 25.0 0 0 SOTON/OQ 392076 7.05 S
887 886 0 3 Rice, Mrs. William (Margaret Norton) female 39.0 0 5 382652 29.125 Q
888 887 0 2 Montvila, Rev. Juozas male 27.0 0 0 211536 13.0 S
889 888 1 1 Graham, Miss. Margaret Edith female 19.0 0 0 112053 30.0 B42 S
890 889 0 3 Johnston, Miss. Catherine Helen "Carrie" female 29.69911764705882 1 2 W./C. 6607 23.45 S
891 890 1 1 Behr, Mr. Karl Howell male 26.0 0 0 111369 30.0 C148 C
892 891 0 3 Dooley, Mr. Patrick male 32.0 0 0 370376 7.75 Q

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@ -1,5 +1,5 @@
"""Agent for working with csvs."""
from typing import Any, Optional
from typing import Any, List, Optional, Union
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.pandas.base import create_pandas_dataframe_agent
@ -8,13 +8,27 @@ from langchain.base_language import BaseLanguageModel
def create_csv_agent(
llm: BaseLanguageModel,
path: str,
path: Union[str, List[str]],
pandas_kwargs: Optional[dict] = None,
**kwargs: Any
**kwargs: Any,
) -> AgentExecutor:
"""Create csv agent by loading to a dataframe and using pandas agent."""
try:
import pandas as pd
except ImportError:
raise ValueError(
"pandas package not found, please install with `pip install pandas`"
)
_kwargs = pandas_kwargs or {}
if isinstance(path, str):
df = pd.read_csv(path, **_kwargs)
elif isinstance(path, list):
df = []
for item in path:
if not isinstance(item, str):
raise ValueError(f"Expected str, got {type(path)}")
df.append(pd.read_csv(item, **_kwargs))
else:
raise ValueError(f"Expected str or list, got {type(path)}")
return create_pandas_dataframe_agent(llm, df, **kwargs)

View File

@ -1,24 +1,147 @@
"""Agent for working with pandas objects."""
from typing import Any, Dict, List, Optional
from typing import Any, Dict, List, Optional, Tuple
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.pandas.prompt import (
MULTI_DF_PREFIX,
PREFIX,
SUFFIX_NO_DF,
SUFFIX_WITH_DF,
SUFFIX_WITH_MULTI_DF,
)
from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.base_language import BaseLanguageModel
from langchain.callbacks.base import BaseCallbackManager
from langchain.chains.llm import LLMChain
from langchain.prompts.base import BasePromptTemplate
from langchain.tools.python.tool import PythonAstREPLTool
def _get_multi_prompt(
dfs: List[Any],
prefix: Optional[str] = None,
suffix: Optional[str] = None,
input_variables: Optional[List[str]] = None,
include_df_in_prompt: Optional[bool] = True,
) -> Tuple[BasePromptTemplate, List[PythonAstREPLTool]]:
num_dfs = len(dfs)
if suffix is not None:
suffix_to_use = suffix
include_dfs_head = True
elif include_df_in_prompt:
suffix_to_use = SUFFIX_WITH_MULTI_DF
include_dfs_head = True
else:
suffix_to_use = SUFFIX_NO_DF
include_dfs_head = False
if input_variables is None:
input_variables = ["input", "agent_scratchpad", "num_dfs"]
if include_dfs_head:
input_variables += ["dfs_head"]
if prefix is None:
prefix = MULTI_DF_PREFIX
df_locals = {}
for i, dataframe in enumerate(dfs):
df_locals[f"df{i + 1}"] = dataframe
tools = [PythonAstREPLTool(locals=df_locals)]
prompt = ZeroShotAgent.create_prompt(
tools, prefix=prefix, suffix=suffix_to_use, input_variables=input_variables
)
partial_prompt = prompt.partial()
if "dfs_head" in input_variables:
dfs_head = "\n\n".join([d.head().to_markdown() for d in dfs])
partial_prompt = partial_prompt.partial(num_dfs=str(num_dfs), dfs_head=dfs_head)
if "num_dfs" in input_variables:
partial_prompt = partial_prompt.partial(num_dfs=str(num_dfs))
return partial_prompt, tools
def _get_single_prompt(
df: Any,
prefix: Optional[str] = None,
suffix: Optional[str] = None,
input_variables: Optional[List[str]] = None,
include_df_in_prompt: Optional[bool] = True,
) -> Tuple[BasePromptTemplate, List[PythonAstREPLTool]]:
if suffix is not None:
suffix_to_use = suffix
include_df_head = True
elif include_df_in_prompt:
suffix_to_use = SUFFIX_WITH_DF
include_df_head = True
else:
suffix_to_use = SUFFIX_NO_DF
include_df_head = False
if input_variables is None:
input_variables = ["input", "agent_scratchpad"]
if include_df_head:
input_variables += ["df_head"]
if prefix is None:
prefix = PREFIX
tools = [PythonAstREPLTool(locals={"df": df})]
prompt = ZeroShotAgent.create_prompt(
tools, prefix=prefix, suffix=suffix_to_use, input_variables=input_variables
)
partial_prompt = prompt.partial()
if "df_head" in input_variables:
partial_prompt = partial_prompt.partial(df_head=str(df.head().to_markdown()))
return partial_prompt, tools
def _get_prompt_and_tools(
df: Any,
prefix: Optional[str] = None,
suffix: Optional[str] = None,
input_variables: Optional[List[str]] = None,
include_df_in_prompt: Optional[bool] = True,
) -> Tuple[BasePromptTemplate, List[PythonAstREPLTool]]:
try:
import pandas as pd
except ImportError:
raise ValueError(
"pandas package not found, please install with `pip install pandas`"
)
if include_df_in_prompt is not None and suffix is not None:
raise ValueError("If suffix is specified, include_df_in_prompt should not be.")
if isinstance(df, list):
for item in df:
if not isinstance(item, pd.DataFrame):
raise ValueError(f"Expected pandas object, got {type(df)}")
return _get_multi_prompt(
df,
prefix=prefix,
suffix=suffix,
input_variables=input_variables,
include_df_in_prompt=include_df_in_prompt,
)
else:
if not isinstance(df, pd.DataFrame):
raise ValueError(f"Expected pandas object, got {type(df)}")
return _get_single_prompt(
df,
prefix=prefix,
suffix=suffix,
input_variables=input_variables,
include_df_in_prompt=include_df_in_prompt,
)
def create_pandas_dataframe_agent(
llm: BaseLanguageModel,
df: Any,
callback_manager: Optional[BaseCallbackManager] = None,
prefix: str = PREFIX,
prefix: Optional[str] = None,
suffix: Optional[str] = None,
input_variables: Optional[List[str]] = None,
verbose: bool = False,
@ -31,39 +154,17 @@ def create_pandas_dataframe_agent(
**kwargs: Dict[str, Any],
) -> AgentExecutor:
"""Construct a pandas agent from an LLM and dataframe."""
try:
import pandas as pd
except ImportError:
raise ImportError(
"pandas package not found, please install with `pip install pandas`"
)
if not isinstance(df, pd.DataFrame):
raise ValueError(f"Expected pandas object, got {type(df)}")
if include_df_in_prompt is not None and suffix is not None:
raise ValueError("If suffix is specified, include_df_in_prompt should not be.")
if suffix is not None:
suffix_to_use = suffix
if input_variables is None:
input_variables = ["df", "input", "agent_scratchpad"]
else:
if include_df_in_prompt:
suffix_to_use = SUFFIX_WITH_DF
input_variables = ["df", "input", "agent_scratchpad"]
else:
suffix_to_use = SUFFIX_NO_DF
input_variables = ["input", "agent_scratchpad"]
tools = [PythonAstREPLTool(locals={"df": df})]
prompt = ZeroShotAgent.create_prompt(
tools, prefix=prefix, suffix=suffix_to_use, input_variables=input_variables
prompt, tools = _get_prompt_and_tools(
df,
prefix=prefix,
suffix=suffix,
input_variables=input_variables,
include_df_in_prompt=include_df_in_prompt,
)
if "df" in input_variables:
partial_prompt = prompt.partial(df=str(df.head().to_markdown()))
else:
partial_prompt = prompt
llm_chain = LLMChain(
llm=llm,
prompt=partial_prompt,
prompt=prompt,
callback_manager=callback_manager,
)
tool_names = [tool.name for tool in tools]

View File

@ -4,6 +4,10 @@ PREFIX = """
You are working with a pandas dataframe in Python. The name of the dataframe is `df`.
You should use the tools below to answer the question posed of you:"""
MULTI_DF_PREFIX = """
You are working with {num_dfs} pandas dataframes in Python named df1, df2, etc. You
should use the tools below to answer the question posed of you:"""
SUFFIX_NO_DF = """
Begin!
Question: {input}
@ -11,7 +15,15 @@ Question: {input}
SUFFIX_WITH_DF = """
This is the result of `print(df.head())`:
{df}
{df_head}
Begin!
Question: {input}
{agent_scratchpad}"""
SUFFIX_WITH_MULTI_DF = """
This is the result of `print(df.head())` for each dataframe:
{dfs_head}
Begin!
Question: {input}

View File

@ -0,0 +1,57 @@
import re
import numpy as np
import pytest
from _pytest.tmpdir import TempPathFactory
from pandas import DataFrame
from langchain.agents import create_csv_agent
from langchain.agents.agent import AgentExecutor
from langchain.llms import OpenAI
@pytest.fixture(scope="module")
def csv(tmp_path_factory: TempPathFactory) -> DataFrame:
random_data = np.random.rand(4, 4)
df = DataFrame(random_data, columns=["name", "age", "food", "sport"])
filename = str(tmp_path_factory.mktemp("data") / "test.csv")
df.to_csv(filename)
return filename
@pytest.fixture(scope="module")
def csv_list(tmp_path_factory: TempPathFactory) -> DataFrame:
random_data = np.random.rand(4, 4)
df1 = DataFrame(random_data, columns=["name", "age", "food", "sport"])
filename1 = str(tmp_path_factory.mktemp("data") / "test1.csv")
df1.to_csv(filename1)
random_data = np.random.rand(2, 2)
df2 = DataFrame(random_data, columns=["name", "height"])
filename2 = str(tmp_path_factory.mktemp("data") / "test2.csv")
df2.to_csv(filename2)
return [filename1, filename2]
def test_csv_agent_creation(csv: str) -> None:
agent = create_csv_agent(OpenAI(temperature=0), csv)
assert isinstance(agent, AgentExecutor)
def test_single_csv(csv: str) -> None:
agent = create_csv_agent(OpenAI(temperature=0), csv)
assert isinstance(agent, AgentExecutor)
response = agent.run("How many rows in the csv? Give me a number.")
result = re.search(r".*(4).*", response)
assert result is not None
assert result.group(1) is not None
def test_multi_csv(csv_list: list) -> None:
agent = create_csv_agent(OpenAI(temperature=0), csv_list, verbose=True)
assert isinstance(agent, AgentExecutor)
response = agent.run("How many combined rows in the two csvs? Give me a number.")
result = re.search(r".*(6).*", response)
assert result is not None
assert result.group(1) is not None

View File

@ -16,6 +16,17 @@ def df() -> DataFrame:
return df
# Figure out type hint here
@pytest.fixture(scope="module")
def df_list() -> list:
random_data = np.random.rand(4, 4)
df1 = DataFrame(random_data, columns=["name", "age", "food", "sport"])
random_data = np.random.rand(2, 2)
df2 = DataFrame(random_data, columns=["name", "height"])
df_list = [df1, df2]
return df_list
def test_pandas_agent_creation(df: DataFrame) -> None:
agent = create_pandas_dataframe_agent(OpenAI(temperature=0), df)
assert isinstance(agent, AgentExecutor)
@ -28,3 +39,32 @@ def test_data_reading(df: DataFrame) -> None:
result = re.search(rf".*({df.shape[0]}).*", response)
assert result is not None
assert result.group(1) is not None
def test_data_reading_no_df_in_prompt(df: DataFrame) -> None:
agent = create_pandas_dataframe_agent(
OpenAI(temperature=0), df, include_df_in_prompt=False
)
assert isinstance(agent, AgentExecutor)
response = agent.run("how many rows in df? Give me a number.")
result = re.search(rf".*({df.shape[0]}).*", response)
assert result is not None
assert result.group(1) is not None
def test_multi_df(df_list: list) -> None:
agent = create_pandas_dataframe_agent(OpenAI(temperature=0), df_list, verbose=True)
response = agent.run("how many total rows in the two dataframes? Give me a number.")
result = re.search(r".*(6).*", response)
assert result is not None
assert result.group(1) is not None
def test_multi_df_no_df_in_prompt(df_list: list) -> None:
agent = create_pandas_dataframe_agent(
OpenAI(temperature=0), df_list, include_df_in_prompt=False
)
response = agent.run("how many total rows in the two dataframes? Give me a number.")
result = re.search(r".*(6).*", response)
assert result is not None
assert result.group(1) is not None