2024-heraklion-data/exercises/tabular_join/tabular_join.ipynb
2024-08-27 15:27:53 +03:00

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"# Exercise: Add experiment information to electrophysiology data"
]
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"import pandas as pd\n",
"\n",
"# Set some Pandas options: maximum number of rows/columns it's going to display\n",
"pd.set_option('display.max_rows', 1000)\n",
"pd.set_option('display.max_columns', 100)"
]
},
{
"cell_type": "markdown",
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"source": [
"# Load electrophysiology data"
]
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"source": [
"df = pd.read_csv('../../data/QC_passed_2024-07-04_collected.csv')\n",
"info = pd.read_csv('../../data/op_info.csv')"
]
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"# 1. Add experiment information to the electrophysiology results\n",
"\n",
"* Is there information for every experiment?\n",
"* How many experiments did each patcher perform? (i.e., individual OPs, or rows in `info`)\n",
"* How many samples did each patcher analyze? (i.e., individual rows in `df`)"
]
},
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"cell_type": "code",
"execution_count": null,
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"# 2. Remove outliers from the table\n",
"\n",
"1. Load the list of outliers in `outliers.csv`\n",
"2. Use an anti-join to remove the outliers from the table\n",
"3. How many samples (rows) are left in the data?"
]
},
{
"cell_type": "code",
"execution_count": null,
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"# 3. Save final result in `processed_QC_passed_2024-07-04_collected_v1.csv`\n",
"\n",
"1. Using the `.to_csv` method of Pandas DataFrames"
]
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