<jupyter_start><jupyter_text>IRIS Data Visualization by using python pandas liabrary<jupyter_code>import pandas as pd
pd.options.display.max_rows = 9

import iris
statement = iris.sql.exec('SELECT * FROM Titanic_Table.Passenger')
df = statement.dataframe()
print(df.info()) 
df
df.duplicated()
df.corr()<jupyter_output><class 'pandas.core.frame.DataFrame'>
RangeIndex: 891 entries, 0 to 890
Data columns (total 12 columns):
 #   Column    Non-Null Count  Dtype  
---  ------    --------------  -----  
 0   id        891 non-null    int64  
 1   survived  891 non-null    int64  
 2   pclass    891 non-null    int64  
 3   name      891 non-null    object 
 4   sex       891 non-null    object 
 5   age       891 non-null    int64  
 6   sibsp     891 non-null    int64  
 7   parch     891 non-null    int64  
 8   ticket    891 non-null    object 
 9   fare      891 non-null    float64
 10  cabin     891 non-null    object 
 11  embarked  891 non-null    object 
dtypes: float64(1), int64(6), object(5)
memory usage: 83.7+ KB
None
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{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '645688', 'license': 'MIT', 'n_tokens_mistral': 417, 'n_tokens_neox': 353, 'n_words': 110, 'path': 'src/Notebooks/IRISPyPandas.ipynb', 'repo_name': 'es-comunidad-intersystems/IRIS-embedded-python', 'size': '1037'}