[英]pandas.DataFrame: mappings a column of a list of keys to a column of the list of values
[英]Pandas column of list of keys and column of list of values to a column of a list of dictionaries
我有一個 pandas dataframe,一列包含字符串類型列表的數據值。 另一列包含 integer 類型列表的數據值。 這可能看起來像
keys values
0 ['key1','key2','key3'] [0,1,2]
1 ['key1','key2','key3'] [4,5,6]
2 ['key2','key1','key3'] [7,3,6]
我想做的是有一列字典類型值,例如,
keys values dicts
0 ['key1','key2','key3'] [0,1,2] {'key1':0,'key2':1,'key3':3}
1 ['key1','key2','key3'] [4,5,6] {'key1':4,'key2':5,'key3':6}
2 ['key2','key1','key3'] [7,3,6] {'key2':7,'key1':3,'key3':6}
假設兩列中的兩個列表都是有序的,這樣 df['keys'][0][0] 將對應於 df['values'][0][0] 等。
理想情況下,我想做一個簡短的 dict 理解來實現這一點。 我的思考過程使我嘗試了以下方式:
df['dicts'] = {k:v for (k,v) in [x for x in zip(df['keys'], df['values'])]}
沒有成功,產生類型錯誤:
<Ipython-input-416-0c2823a27ccf> in <module>
----> 1 df['dicts']= dict(zip(df['keys'], df['values']))
TypeError: unhashable type: 'list'
也:
df['dicts']= dict(zip(df['keys'], df['values']))
失敗,產生以下類型錯誤:
<Ipython-input-416-0c2823a27ccf> in <module>
----> 1 df['dicts']= dict(zip(df['keys'], df['values']))
TypeError: unhashable type: 'list'
嘗試:
df['dicts'] = [dict(zip(x,y)) for x,y in zip(df['keys'], df['values'])]
或解包:
df['dicts'] = [dict(zip(*u)) for u in zip(df['keys'], df['values'])]
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