[英]Multiplying an array in a dataframe in Python
I am reading a specific column from a csv
file.我正在阅读csv
文件中的特定列。 I want to multiply the elements of this array with 2
.我想将此数组的元素与2
相乘。 When I do so, the array size is doubling instead of multiplying each element with 2
.当我这样做时,数组大小加倍,而不是将每个元素与2
相乘。 I have shared the CSV
file.我已经分享了CSV
文件。 I also present the current and expected outputs.我还介绍了当前和预期的输出。
import pandas as pd
data = pd.read_csv("Data.csv")
B = pd.read_csv("Data.csv", sep=',', usecols=['sigma'], squeeze=True)
print("B[0] =",B[0]*2)
The CSV file looks like CSV 文件看起来像
enter image description here在此处输入图像描述
The current output is当前的 output 是
B[0] = [array([[0.02109],
[0.02109],
[array([[0.02109],
[0.02109]])]
The expected output is预期的 output 是
B[0] = [array([[.04218],
[.04218]])]
Does this help?这有帮助吗?
df = pd.DataFrame({
"col" : [[0.2, 0.3],[0.3, 0.4],[0.4, 0.5],[0.5, 0.6]]
})
Multiply it by 2乘以 2
df.col = df.col.apply(lambda x: [num * 2 for num in x])
Result结果
col
0 [0.4, 0.6]
1 [0.6, 0.8]
2 [0.8, 1.0]
3 [1.0, 1.2]
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