4_1_Pandas_Titanic.ipynb

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   "source": [
    "## ! pip install pandas numpy\n",
    "## The titanic dataset is originally from https://github.com/mwaskom/seaborn-data/blob/master/titanic.csv"
   ]
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   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
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   "id": "d662ce0c-6eaf-4385-adf8-c84580076351",
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   "source": [
    "titanic = pd.read_csv('files/titanic.csv', skipinitialspace = True).set_index('PassengerId')"
   ]
  },
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   "source": [
    "titanic[(titanic['Age'] <= 12)]"
   ]
  },
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   "source": [
    "len(titanic[(titanic['Age'] <= 12)])"
   ]
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   "source": [
    "len(titanic[(titanic['Sex'] == 'female')])"
   ]
  },
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    "titanic[(titanic['Age'] <= 5) | (titanic['Sex'] == 'female')]"
   ]
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   "source": [
    "len(titanic[titanic['Survived'] == 1.0])"
   ]
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   "source": [
    "len(titanic[((titanic['Age'] <= 5) | (titanic['Sex'] == 'female')) & titanic['Survived'] == 1.0])"
   ]
  },
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   "execution_count": null,
   "id": "d1a294b5-ac4f-4852-b49d-919a8ea0ad53",
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   "outputs": [],
   "source": [
    "len(titanic[~((titanic['Age'] <= 5) | (titanic['Sex'] == 'female')) & titanic['Survived'] == 1.0])"
   ]
  },
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   "source": [
    "titanic[(titanic['Age'] == 17.0) & (titanic['Sex'] == 'female') & (titanic['Pclass'] == 2) & (titanic['Survived'] == 1.0)]"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "82dfd0b6-c121-495e-9211-8999bc304031",
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   "source": [
    "titanic[(titanic['Age'] == 19.0) & (titanic['Sex'] == 'male') & (titanic['Pclass'] == 3) & (titanic['Survived'] != 1.0)]"
   ]
  }
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