查找空值并从 Pandas 中的数据框中删除

Question

你好，我有一个像这样的数据框，有 500 多行。

    company_url company tag_line    product data
0   https://angel.co/billguard  BillGuard   The fastest smartest way to track your spendin...   BillGuard is a personal finance security app t...   New York City · Financial Services · Security ...
1   https://angel.co/tradesparq Tradesparq  The world's largest social network for global ...   Tradesparq is Alibaba.com meets LinkedIn. Trad...   Shanghai · B2B · Marketplaces · Big Data · Soc...
2   https://angel.co/sidewalk   Sidewalk    Hoovers (D&B) for the social era    Sidewalk helps companies close more sales to s...   New York City · Lead Generation · Big Data · S...
3   https://angel.co/pangia Pangia  The Internet of Things Platform: Big data mana...   We collect and manage data from sensors embedd...   San Francisco · SaaS · Clean Technology · Big ...
4   https://angel.co/thinknum   Thinknum    Financial Data Analysis Thinknum is a powerful web platform to value c...   New York City · Enterprise Software · Financia...

我想做的是在 "data" 列中找到 null 并从数据框中删除该行。我为它编写了代码，但我认为它没有按预期工作，因为行数没有改变。有人可以帮我解决这个问题吗？

我的代码：

for item in bigdata_comp_dropped.iterrows():
    if item[1][4] == "":
        bigdata_comp_dropped.drop(item[1])

Answer 1

尝试

bigdata_filtered = bigdata_comp_dropped[~bigdata_comp_dropped['data'].isnull()]

Answer 2

您只能使用布尔掩码保留 notnull 值：

df = df[df["data"].notnull()]

查找空值并从 Pandas 中的数据框中删除

Find a null value and drop from a dataframe in Pandas

python

numpy

ipython

pandas