2024-heraklion-data/exercises/tabular_join/tabular_join.ipynb

Exercise: Add experiment information to electrophysiology data¶

In [1]:

import pandas as pd

# Set some Pandas options: maximum number of rows/columns it's going to display
pd.set_option('display.max_rows', 1000)
pd.set_option('display.max_columns', 100)

Load electrophysiology data¶

In [2]:

df = pd.read_csv('../../data/QC_passed_2024-07-04_collected.csv')
info = pd.read_csv('../../data/op_info.csv')

1. Add experiment information to the electrophysiology results¶

• Is there information for every experiment?
• How many experiments did each patcher perform? (i.e., individual OPs, or rows in info)
• How many samples did each patcher analyze? (i.e., individual rows in df)

In [ ]:

2. Remove outliers from the table¶

1. Load the list of outliers in outliers.csv
2. Use an anti-join to remove the outliers from the table
3. How many samples (rows) are left in the data?

In [ ]:

3. Save final result in processed_QC_passed_2024-07-04_collected_v1.csv¶

1. Using the .to_csv method of Pandas DataFrames

In [ ]: