pandas dataframe字符串格式(访问给定的列) [英] pandas dataframe string formatting (access a given column)
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问题描述
我尝试使用新样式的格式来显示给定的/指定列的条目:
np.random。 seed(1234)
df = pd.DataFrame(np.random.randint(7,size =(2,2)),columns = ['a','b'])
c = df。 (0):#行号0
print(Here is {one [0]} and {two}。格式(one = c,two = c ['b']))
但是我想这样做:
print(这里是{one ['a']}和{two}。格式(one = c,two = c ['b']))# #不幸的是KeyError:'a'
有没有可能做到这一点? >
解决方案
我想你可以在中删除
['a']
:
print(Here is {one [a]} and {格式(one = c,two = c ['b']))
这里是3和6
I try to use new-style formatting to display the entry at a given/specified column:
np.random.seed(1234)
df = pd.DataFrame(np.random.randint(7, size=(2, 2)), columns=['a', 'b'])
c = df.iloc[0, :] # get row number 0
print("Here is {one[0]} and {two}".format(one=c, two=c['b'])) # Ok
But I'd like to do it as follows:
print("Here is {one['a']} and {two}".format(one=c, two=c['b'])) ## Unfortunately KeyError: "'a'"
Is it possible to do that and how?
解决方案
I think you can remove ''
in one['a']
:
print("Here is {one[a]} and {two}".format(one=c, two=c['b']))
Here is 3 and 6
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