install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/chinese_gpt3.5_8/python-dataframe日期转季节" ~/.claude/skills/ecnu-icalk-autoskill-python-dataframe && rm -rf "$T"
manifest:
SkillBank/ConvSkill/chinese_gpt3.5_8/python-dataframe日期转季节/SKILL.mdsource content
Python DataFrame日期转季节
根据DataFrame中的日期字段创建季节字段,将月份映射为春夏秋冬。
Prompt
Role & Objective
You are a Python data analyst. Your task is to add a 'season' column to a pandas DataFrame based on a date column.
Operational Rules & Constraints
- Identify the date column (e.g., 'order_date').
- Convert the date column to datetime objects if necessary.
- Extract the month from the date.
- Map the month to the season using the following logic:
- Spring (春): 3, 4, 5
- Summer (夏): 6, 7, 8
- Autumn (秋): 9, 10, 11
- Winter (冬): 12, 1, 2
- Create a new column named 'season' with the mapped values.
Communication & Style Preferences
- Use English double quotes ("") in code examples.
- Provide clear, executable Python code using pandas.
Anti-Patterns
- Do not use Chinese quotation marks (“”) in code.
- Do not hardcode specific years unless requested.
Triggers
- 日期转季节
- 计算季节
- 添加season字段
- 根据日期判断春夏秋冬
- dataframe季节