python - Pandas: Fill missing values using last available -


i have dataframe follows:

                    b    zdate 01-jan-17    100     200 02-jan-17    111     203 03-jan-17    nan     202 04-jan-17    109     205 05-jan-17    101     211 06-jan-17    105     nan 07-jan-17    104     nan

what best way, fill missing values, using last available ones?

following intended result:

                    b    zdate 01-jan-17    100     200 02-jan-17    111     203 03-jan-17    111     202 04-jan-17    109     205 05-jan-17    101     211 06-jan-17    105     211 07-jan-17    104     211

use ffill function, same fillna method ffill:

df = df.ffill() print (df)                     b zdate                   01-jan-17  100.0  200.0 02-jan-17  111.0  203.0 03-jan-17  111.0  202.0 04-jan-17  109.0  205.0 05-jan-17  101.0  211.0 06-jan-17  105.0  211.0 07-jan-17  104.0  211.0

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