我的数据框df看起来像这样
Row_ID Codes
=============
1 A123,B456,C678
2 X359,C678,F23
3 J3,D24,J36,K994
我想将所有代码放在列表中
类似的东西
['A123', 'B456', 'C678'],['X359', 'C678', 'F23'], ['J3', 'D24', 'J36', 'K994']
我做到了
# an empty list
CodeList = []
for i in df['Codes']:
CodeList.append(list(i))
但是我得到的是这个
['A','1','2','3','B'....
我该如何正确地进行上述操作?
答案 0 :(得分:1)
尝试使用以下方法进行拆分:
bundle exec rails generate doorkeeper:install
答案 1 :(得分:1)
import pandas as pd
data = {"Codes": ["A123, B456, C678", "X359, C678, F23", "J3, D24, J36, K994"]}
df = pd.DataFrame(data)
result = [a.split(", ") for a in df["Codes"]]
print(result)
输出
[['A123', 'B456', 'C678'], ['X359', 'C678', 'F23'], ['J3', 'D24', 'J36', 'K994']]
答案 2 :(得分:0)
from PIL import Image, ImageColor
import matplotlib.pyplot
im = Image.new('1', (1000, 1000)) # create the Image of size 1000x1000 pixels
for x in range(500):
for y in range(100):
im.putpixel((x, y), ImageColor.getcolor('white', '1')) # or whatever color you wish
matplotlib.pyplot.ion()
matplotlib.pyplot.imshow(im)
matplotlib.pyplot.show(block = True)
matplotlib.pyplot.pause(1)
for x in range(300):
for y in range(100):
im.putpixel((x, y), ImageColor.getcolor('black', '1')) # or whatever color you wish
matplotlib.pyplot.imshow(im)
matplotlib.pyplot.show(block = True)
输出:
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randn(3, 2), columns=list('AB'))
print(df.head())
print(df.values.tolist())
答案 3 :(得分:0)
答案 4 :(得分:0)
似乎这里的许多其他答案可能完全是错误的。 (编辑:目前,他们都是)
此代码确实有效:
import pandas as pd
data = {'Codes': ['A123,B456,C678', 'X359,C678,F23', 'J3,D24,J36,K994']}
df = pd.DataFrame(data)
codes_list = df['Codes'].str.split(',').tolist()
codes_list
如下:
[['A123', 'B456', 'C678'], ['X359', 'C678', 'F23'], ['J3', 'D24', 'J36', 'K994']]
请注意,此解决方案是惯用的熊猫,而应尽可能避免显式循环。