Created
October 2, 2019 22:32
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Pandas: Sort within groups
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# Load the Pandas libraries with alias 'pd' | |
import pandas as pd | |
# Read csv to dataframe | |
df = pd.read_csv("data.csv") | |
# Set column types | |
df['Submission Date'] = pd.to_datetime(df['Submission Date'], format="%Y-%m-%d %H:%M") | |
print(df) | |
# Steps: | |
# 1. Sort 'Project Name' column alphabetically | |
# 2. Group by 'Project Name' | |
# 3. Sort within each group by 'Submission Date' | |
df = df.sort_values(['Project Name'], ascending=True) \ | |
.groupby(['Project Name'], sort=False) \ | |
.apply(lambda x: x.sort_values(['Submission Date'], ascending=True)) \ | |
.reset_index(drop=True) | |
print(df) | |
df.to_csv('out.csv', encoding='utf-8', index=False) |
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