我有以下 df，包含来自不同来源的每日文章:
print(df)
Date content
2018-11-01 Apple Inc. AAPL 1.54% reported its fourth cons...
2018-11-01 U.S. stocks climbed Thursday, Apple is a real ...
2018-11-02 GONE are the days when smartphone manufacturer...
2018-11-03 To historians of technology, the story of the ...
2018-11-03 Apple Inc. AAPL 1.54% reported its fourth cons...
2018-11-03 Apple is turning to traditional broadcasting t...
(...)
我想计算“Apple”一词的每日提及 的总数 - 因此按日期汇总。如何创建“final_df”？
print(final_df)
2018-11-01 2
2018-11-02 0
2018-11-03 2
(...)
最佳答案
使用count对于新的 Series，按列 df['Date'] 和 sum 聚合:
df1 = df['content'].str.count('Apple').groupby(df['Date']).sum().reset_index(name='count')
print (df1)
Date count
0 2018-11-01 2
1 2018-11-02 0
2 2018-11-03 2
关于python - 每日提及一个词，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/53813632/