熊猫根据行，列和日期过滤DataFrame

Question

Everyone.
I am trying to filter data based on row name , column and date based. I have data as you can see in image below, I am scraping html table using selenium.

Data I have

complete code :

https://repl.it/@AshfaqueMarfani/DroopyDismalCubase

I want to filter data like this.

argument : date 2018-11-10 to 2018-12-1
2018-11-10 | Total Issues Traded | 8243
2018-11-11 | Total Issues Traded | 8232
2018-11-12 | Total Issues Traded | 90000
2018-11-13 | Total Issues Traded | 10000
2018-11-14 | Total Issues Traded | 8243

Answer 1

Try this:

df[(df.0 == "Total Issues Traded")]

OR

df.loc[df['0'] == "Total Issues Traded"]

OR

df.loc[df['0'] == "Total Issues Traded" & df['date'] > '2018-11-09') & (df['date'] < '2018-12-02')]

Let me know if this is what you want or you need some changes

Answer 2

If i understood your question correctly, you want to filter by date and by value of the first column in your dataframe. One of the ways to achieve it is the following:

df[df['date'].between('2018-11-10', '2018-12-01')&(df[0]=='Total Issues Traded')]