我有一个很大的数据框,其中有一列用Nan和整数填充。 我确定了不为空的行(即为notnull()返回False):
df.loc[df.score.notnull()]
如何删除这些行并保留缺少值的行?
此代码无效:
df.drop(df.score.notnull()]
答案 0 :(得分:0)
您可以使用df.loc[df.score.isnull()]
或df.loc[~df.score.notnull()]
。
答案 1 :(得分:0)
假设您想要使用相同的数据框,则可以使用:
<SampBoxLayout>:
orientation: "vertical"
padding: 10
spacing: 10
BoxLayout:
orientation: "vertical"
height: 30
BoxLayout:
orientation: "vertical"
size_hint_x: .25
size_hint_y: .25
TabbedPanel:
do_default_tab: False
size: 5, 5
TabbedPanelItem:
text: "Home"
Label:
text: "Content of Home"
TabbedPanelItem:
text: "Browse"
Label:
text: "Content of Browse"
TabbedPanelItem:
text: "Radio"
Label:
text: "Content of Radio"
TabbedPanelItem:
text: "Made for You"
Label:
text: "Content of Made For You"
TabbedPanelItem:
text: "Recently Played"
Label:
text: "Content of Recently Played"
TabbedPanelItem:
text: "Favorite Songs"
Label:
text: "Content of Recent Songs"
TabbedPanelItem:
text: "Albums"
Label:
text: "Content of Albums"
TabbedPanelItem:
text: "Artists"
Label:
text: "Content of Artists"
TabbedPanelItem:
text: "Stations"
Label:
text: "Content of Stations"
TabbedPanelItem:
text: "Local Files"
Label:
text: "Content of Local Files"
TabbedPanelItem:
text: "Videos"
Label:
text: "Content of Videos"
TabbedPanelItem:
text: "Videos"
Label:
text: "Content of Videos"
TabbedPanelItem:
text: "Podcasts"
Label:
text: "Content of Podc