如何將下圖中的瀏覽量(PV)、訪客數(UV)、IP數這幾列中的帶有千位分隔符"，"的字符串類型轉換成浮點數類型
示例代碼如下：
import
pandas as pd
test
=
pd.DataFrame({
'A'
: [
'1,232.1'
,
'22,332.3'
,
'3,232'
,
'1,111,111'
]})
print
(
type
(test.loc[
0
,
'A'
]))
test1
=
pd.DataFrame({}).append(test)
test1[
'A'
]
=
test1[
'A'
].
apply
(
lambda
x: "".join(x.split(
','
))).astype(
'float'
)
print
(
type
(test1.loc[
0
,
'A'
]))
實際代碼如下：
df['瀏覽量(PV)'] = df.loc[:, '瀏覽量(PV)'].apply(lambda x: float(x.replace(",", "")))
或者：
df['瀏覽量(PV)'] = df.loc[:, '瀏覽量(PV)'].apply(lambda x: float(x.replace(",", "")) if "," in x else float(x))
import
pandas as pd
test
=
pd.DataFrame({
'A'
: [
'1,232.1'
,
'22,332.3'
,
'3,232'
,
'1,111,111'
]})
print
(
type
(test.loc[
0
,
'A'
]))
test1
=
pd.DataFrame({}).append(test)
test1[
'A'
]
=
test1[
'A'
].
apply
(
lambda
x: "".join(x.split(
','
))).astype(
'float'
)
print
(
type
(test1.loc[
0
,
'A'
]))