avoiding error from pd.to_datetime in pandas
I think you can parse to_datetime
with parameter errors='coerce'
and then use strftime
for converting to weekday as locale’s full name:
print df
TRX_DATE some value
0 2010-08-15 13:00:00 27.065
1 2010-08-16 13:10:00 25.610
2 2010-08-17 02:30:00 17.000
3 2010-06-18 02:40:00 17.015
4 2010-18-19 02:50:00 16.910
df['TRX_DATE'] = pd.to_datetime(df['TRX_DATE'],errors='coerce')
df['day_type'] = df['TRX_DATE'].dt.strftime('%A')
print df
TRX_DATE some value day_type
0 2010-08-15 13:00:00 27.065 Sunday
1 2010-08-16 13:10:00 25.610 Monday
2 2010-08-17 02:30:00 17.000 Tuesday
3 2010-06-18 02:40:00 17.015 Friday
4 NaT 16.910 NaT
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Satya
Trust Me,I want to be a programmer and still confused between whether i am already a one or still my status is in-progress. In both-way i like my status and preferably the "in-progress".
Updated on June 16, 2022Comments
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Satya almost 2 years
I have a huge dataframe more than 100 mln rows. In that I have a date columns, unfortunately have improper formatted (mixed) date strings.
Now I did convert it to datetime by:
df['TRX_DATE'] = pd.to_datetime(df['TRX_DATE'],coerce=True) # without any error # Now i want to calculate week day from that date columns df['day_type'] = [x.strftime('%A') for x in d['TRX_DATE']] ###ValueError: month out of range
If it would a single field I can manage with dateutil parser. But in this case I am getting out of idea, how to handle that.
Just intersted, if the week conversion line can have something like if anything getting out of range place a default...
Have the idea but as a newbie. Don't have that much experience to do that.
It would be great help if someone can give a code line to handle that.
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Satya about 8 years@jezrael- Already tried that..getting same error...i know some dataissue is there.but identifying the flaws from such a huge data is difficult for me...so need to avoid the error anyhow
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jezrael about 8 yearsWhat is version of your
pandas
?print pd.show_versions()
Is possible share data? -
jezrael about 8 yearsHmmm, but now the last version of
pandas
is0.18.0
. Is possible updatepandas
? -
jezrael about 8 yearsLet us continue this discussion in chat.
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MJeremy over 2 yearswhat does Nat mean?