python plotting with pandas [duplicate]

Question

So, I have values that look like this. Now, with pandas plotting function, like upperband.plot(), it shows broken line for the first few values like below:

2015-03-12           NaN
2015-03-13           NaN
2015-03-16           NaN
2015-03-17           NaN
2015-03-18           NaN
2015-03-19           NaN
2015-03-20           NaN
2015-03-23           NaN
2015-03-24           NaN
2015-03-25           NaN
2015-03-26           NaN
2015-03-27           NaN
2015-03-30           NaN
2015-03-31           NaN
2015-04-01           NaN
2015-04-02           NaN
2015-04-06           NaN
2015-04-07           NaN
2015-04-08           NaN
2015-04-09    567.812173
2015-04-10    567.456120
2015-04-13    567.607916
2015-04-14    567.968762

How can I ignore these NaN values? I want to start with a smooth line and ignore the broken line

stackoverflow.com/questions/30091012/…

Paul H
– Paul H

2016-03-11 21:34:09 +00:00
Commented Mar 11, 2016 at 21:34 — Paul H
– Paul H, Commented Mar 11, 2016 at 21:34
also stackoverflow.com/questions/20235401/…

Paul H
– Paul H

2016-03-11 21:35:43 +00:00
Commented Mar 11, 2016 at 21:35 — Paul H
– Paul H, Commented Mar 11, 2016 at 21:35

twothreebrent · Accepted Answer · 2016-03-11 21:43:19Z

1

If you want to just ignore the data that is missing you can use

df = df.dropna()

edited Mar 11, 2016 at 21:43

answered Mar 11, 2016 at 21:37

twothreebrent

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1 Comment

Paul H Over a year ago

your first answer would be better as df = df.dropna() as shown in the two link I provided. Your second answer misses the mark as the OP clearly stated that NaNs should be ignored.

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