Datetime issue with matplotlib

Question

I\'m pulling my hair to display a series with matplotlib.

I\'m working with python 2.7. I have a pandas Dataframe with dates. I converted dates to datetime and I\'m

Answer 1

I faced a similar issue. You could try this:

df2bis.set_index('dateObs', inplace=True)
df2bis.index = pd.to_datetime(df2bis.index)
df2bis.plot()

Answer 2

As i am not able to reproduce the error with the given code i can only guess what causing this issue. The most common one will be fixed as follows:

One possible reason for your error could be the fact that matplotlib doesn't like the datetime64 datatype. if you replace:

df2bis.plot()

with

plt.plot(df2bis.index.to_pydatetime(), df2bis.NbFluxEntrant)

that should be fixed.

The other option are NaN inside your DataFrame so drop all NaN before plotting

plt.plot(df2bis.index.to_pydatetime().dropna(), df2bis.NbFluxEntrant.dropna())

Another poitn that could cause the issue is that soemthing goes wrong with the default format. Just make sure you add the format to_datetime otherwise it could change up day and month

df2bis.index = pd.to_datetime(df2bis.index, format="%Y-%m-%d")

Answer 3

As others could not reproduce this ValueError, my guess is that you transformed df2bis to a pandas.Series somewhere and tried to plot the Series, that would throw:

ValueError: view limit minimum 0.0 is less than 1 and is an invalid Matplotlib date value. This often happens if you pass a non-datetime value to an axis that has datetime units

To fix this, try

pd.DataFrame(df2bis).plot()

Good luck!

Answer 4

There are missing values between the datetimes.

idx = pd.date_range(pd.to_datetime(first_month).item(), pd.to_datetime(last_month).item(), freq='MS')

data = data.reindex(idx)

Answer 5

Try clearing your previous plot settings with plt.close(). This solved my issue.