python 3 find sequence of days with low rainfall












0















I have a 365 row dataframe and i want to get a start date, time range and a amount of rainfall less than a specific value (drought )



example:



 PRODUKT_CODE  STATION_ID   Ppt  QN  QB

ZEITSTEMPEL

2018-01-01      RS_MN006        1055  27.4   3   0

2018-01-02      RS_MN006        1055  28.1   3   0

2018-01-03      RS_MN006        1055   9.3   3   0

2018-01-04      RS_MN006        1055   7.8   3   0

2018-01-05      RS_MN006        1055   4.7   3   0

2018-01-06      RS_MN006        1055   5.3   3   0

2018-01-07      RS_MN006        1055   1.0   3   0

2018-01-08      RS_MN006        1055   0.0   3   0

2018-01-09      RS_MN006        1055   0.5   3   0

2018-01-10      RS_MN006        1055   2.1   3   0

2018-01-11      RS_MN006        1055   0.6   3   0

2018-01-12      RS_MN006        1055   0.0   3   0


i try it with this loop



df_1["Value"] = 0

for i in np.arange(df_1["Ppt"].count()-3):

    if df_1["Ppt"][i]>10:

        if df_1["Ppt"][i+1] < 2 and df_1["Ppt"][i+2] < 2 and df_1["Ppt"][i+3] <2:

            df_1["Value"][i]=1

            print("Sequence of days were found at: "+ str(df_1["Ppt"].index[i]))

            print("Ppt for day 1 :", + str(df_1["Ppt"][i] + "Ppt for day 2,3,4:" + str(df_1["Ppt"][i+1]) + " " + str(df_1["Ppt"][i+2]) + " " + str(df_1["Ppt"][i+3])))


but end up with this error



C:UsersUSERDesktopMasterarbeit2 CODEradolanRainall_analysis.py:31: SettingWithCopyWarning:

A value is trying to be set on a copy of a slice from a DataFrame



See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy

  df_1["Value"][i]=1

Sequence of days were found at: 2018-01-25 00:00:00

Traceback (most recent call last):

  File "C:UsersUSERDesktopMasterarbeit2 CODEradolanRainall_analysis.py", line 33, in <module>

    print("Ppt for day 1 :", + str(df_1["Ppt"][i] + "Ppt for day 2,3,4:" + str(df_1["Ppt"][i+1]) + " " + str(df_1["Ppt"][i+2]) + " " + str(df_1["Ppt"][i+3])))

TypeError: ufunc 'add' did not contain a loop with signature matching types dtype('<U32') dtype('<U32') dtype('<U32')


is there an elegant way or maybe a module with functions to analyse precipitation data on a daily base?






python pandas numpy







share|improve this question


















  • 1





    It would help if you provided a Minimal, Complete, and Verifiable example that creates exactly the dataframe you are working with - and describe your "expected" output and what a "drought" is defined by.

    – Patrick Artner
    Jan 2 at 1:08






  • 1





    There is a comma in your second print statement, right after "Ppt for day 1 :", that looks like a typo and could trigger this error.

    – hlg
    Jan 2 at 1:42


















0















I have a 365 row dataframe and i want to get a start date, time range and a amount of rainfall less than a specific value (drought )



example:



 PRODUKT_CODE  STATION_ID   Ppt  QN  QB

ZEITSTEMPEL

2018-01-01      RS_MN006        1055  27.4   3   0

2018-01-02      RS_MN006        1055  28.1   3   0

2018-01-03      RS_MN006        1055   9.3   3   0

2018-01-04      RS_MN006        1055   7.8   3   0

2018-01-05      RS_MN006        1055   4.7   3   0

2018-01-06      RS_MN006        1055   5.3   3   0

2018-01-07      RS_MN006        1055   1.0   3   0

2018-01-08      RS_MN006        1055   0.0   3   0

2018-01-09      RS_MN006        1055   0.5   3   0

2018-01-10      RS_MN006        1055   2.1   3   0

2018-01-11      RS_MN006        1055   0.6   3   0

2018-01-12      RS_MN006        1055   0.0   3   0


i try it with this loop



df_1["Value"] = 0

for i in np.arange(df_1["Ppt"].count()-3):

    if df_1["Ppt"][i]>10:

        if df_1["Ppt"][i+1] < 2 and df_1["Ppt"][i+2] < 2 and df_1["Ppt"][i+3] <2:

            df_1["Value"][i]=1

            print("Sequence of days were found at: "+ str(df_1["Ppt"].index[i]))

            print("Ppt for day 1 :", + str(df_1["Ppt"][i] + "Ppt for day 2,3,4:" + str(df_1["Ppt"][i+1]) + " " + str(df_1["Ppt"][i+2]) + " " + str(df_1["Ppt"][i+3])))


but end up with this error



C:UsersUSERDesktopMasterarbeit2 CODEradolanRainall_analysis.py:31: SettingWithCopyWarning:

A value is trying to be set on a copy of a slice from a DataFrame



See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy

  df_1["Value"][i]=1

Sequence of days were found at: 2018-01-25 00:00:00

Traceback (most recent call last):

  File "C:UsersUSERDesktopMasterarbeit2 CODEradolanRainall_analysis.py", line 33, in <module>

    print("Ppt for day 1 :", + str(df_1["Ppt"][i] + "Ppt for day 2,3,4:" + str(df_1["Ppt"][i+1]) + " " + str(df_1["Ppt"][i+2]) + " " + str(df_1["Ppt"][i+3])))

TypeError: ufunc 'add' did not contain a loop with signature matching types dtype('<U32') dtype('<U32') dtype('<U32')


is there an elegant way or maybe a module with functions to analyse precipitation data on a daily base?






python pandas numpy







share|improve this question


















  • 1





    It would help if you provided a Minimal, Complete, and Verifiable example that creates exactly the dataframe you are working with - and describe your "expected" output and what a "drought" is defined by.

    – Patrick Artner
    Jan 2 at 1:08






  • 1





    There is a comma in your second print statement, right after "Ppt for day 1 :", that looks like a typo and could trigger this error.

    – hlg
    Jan 2 at 1:42
















0












0








0








I have a 365 row dataframe and i want to get a start date, time range and a amount of rainfall less than a specific value (drought )



example:



 PRODUKT_CODE  STATION_ID   Ppt  QN  QB

ZEITSTEMPEL

2018-01-01      RS_MN006        1055  27.4   3   0

2018-01-02      RS_MN006        1055  28.1   3   0

2018-01-03      RS_MN006        1055   9.3   3   0

2018-01-04      RS_MN006        1055   7.8   3   0

2018-01-05      RS_MN006        1055   4.7   3   0

2018-01-06      RS_MN006        1055   5.3   3   0

2018-01-07      RS_MN006        1055   1.0   3   0

2018-01-08      RS_MN006        1055   0.0   3   0

2018-01-09      RS_MN006        1055   0.5   3   0

2018-01-10      RS_MN006        1055   2.1   3   0

2018-01-11      RS_MN006        1055   0.6   3   0

2018-01-12      RS_MN006        1055   0.0   3   0


i try it with this loop



df_1["Value"] = 0

for i in np.arange(df_1["Ppt"].count()-3):

    if df_1["Ppt"][i]>10:

        if df_1["Ppt"][i+1] < 2 and df_1["Ppt"][i+2] < 2 and df_1["Ppt"][i+3] <2:

            df_1["Value"][i]=1

            print("Sequence of days were found at: "+ str(df_1["Ppt"].index[i]))

            print("Ppt for day 1 :", + str(df_1["Ppt"][i] + "Ppt for day 2,3,4:" + str(df_1["Ppt"][i+1]) + " " + str(df_1["Ppt"][i+2]) + " " + str(df_1["Ppt"][i+3])))


but end up with this error



C:UsersUSERDesktopMasterarbeit2 CODEradolanRainall_analysis.py:31: SettingWithCopyWarning:

A value is trying to be set on a copy of a slice from a DataFrame



See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy

  df_1["Value"][i]=1

Sequence of days were found at: 2018-01-25 00:00:00

Traceback (most recent call last):

  File "C:UsersUSERDesktopMasterarbeit2 CODEradolanRainall_analysis.py", line 33, in <module>

    print("Ppt for day 1 :", + str(df_1["Ppt"][i] + "Ppt for day 2,3,4:" + str(df_1["Ppt"][i+1]) + " " + str(df_1["Ppt"][i+2]) + " " + str(df_1["Ppt"][i+3])))

TypeError: ufunc 'add' did not contain a loop with signature matching types dtype('<U32') dtype('<U32') dtype('<U32')


is there an elegant way or maybe a module with functions to analyse precipitation data on a daily base?






python pandas numpy







share|improve this question














I have a 365 row dataframe and i want to get a start date, time range and a amount of rainfall less than a specific value (drought )



example:



 PRODUKT_CODE  STATION_ID   Ppt  QN  QB

ZEITSTEMPEL

2018-01-01      RS_MN006        1055  27.4   3   0

2018-01-02      RS_MN006        1055  28.1   3   0

2018-01-03      RS_MN006        1055   9.3   3   0

2018-01-04      RS_MN006        1055   7.8   3   0

2018-01-05      RS_MN006        1055   4.7   3   0

2018-01-06      RS_MN006        1055   5.3   3   0

2018-01-07      RS_MN006        1055   1.0   3   0

2018-01-08      RS_MN006        1055   0.0   3   0

2018-01-09      RS_MN006        1055   0.5   3   0

2018-01-10      RS_MN006        1055   2.1   3   0

2018-01-11      RS_MN006        1055   0.6   3   0

2018-01-12      RS_MN006        1055   0.0   3   0


i try it with this loop



df_1["Value"] = 0

for i in np.arange(df_1["Ppt"].count()-3):

    if df_1["Ppt"][i]>10:

        if df_1["Ppt"][i+1] < 2 and df_1["Ppt"][i+2] < 2 and df_1["Ppt"][i+3] <2:

            df_1["Value"][i]=1

            print("Sequence of days were found at: "+ str(df_1["Ppt"].index[i]))

            print("Ppt for day 1 :", + str(df_1["Ppt"][i] + "Ppt for day 2,3,4:" + str(df_1["Ppt"][i+1]) + " " + str(df_1["Ppt"][i+2]) + " " + str(df_1["Ppt"][i+3])))


but end up with this error



C:UsersUSERDesktopMasterarbeit2 CODEradolanRainall_analysis.py:31: SettingWithCopyWarning:

A value is trying to be set on a copy of a slice from a DataFrame



See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy

  df_1["Value"][i]=1

Sequence of days were found at: 2018-01-25 00:00:00

Traceback (most recent call last):

  File "C:UsersUSERDesktopMasterarbeit2 CODEradolanRainall_analysis.py", line 33, in <module>

    print("Ppt for day 1 :", + str(df_1["Ppt"][i] + "Ppt for day 2,3,4:" + str(df_1["Ppt"][i+1]) + " " + str(df_1["Ppt"][i+2]) + " " + str(df_1["Ppt"][i+3])))

TypeError: ufunc 'add' did not contain a loop with signature matching types dtype('<U32') dtype('<U32') dtype('<U32')


is there an elegant way or maybe a module with functions to analyse precipitation data on a daily base?






python pandas numpy




python pandas numpy






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Jan 2 at 1:01









till Kadabratill Kadabra

376




376








  • 1





    It would help if you provided a Minimal, Complete, and Verifiable example that creates exactly the dataframe you are working with - and describe your "expected" output and what a "drought" is defined by.

    – Patrick Artner
    Jan 2 at 1:08






  • 1





    There is a comma in your second print statement, right after "Ppt for day 1 :", that looks like a typo and could trigger this error.

    – hlg
    Jan 2 at 1:42
















  • 1





    It would help if you provided a Minimal, Complete, and Verifiable example that creates exactly the dataframe you are working with - and describe your "expected" output and what a "drought" is defined by.

    – Patrick Artner
    Jan 2 at 1:08






  • 1





    There is a comma in your second print statement, right after "Ppt for day 1 :", that looks like a typo and could trigger this error.

    – hlg
    Jan 2 at 1:42










1




1





It would help if you provided a Minimal, Complete, and Verifiable example that creates exactly the dataframe you are working with - and describe your "expected" output and what a "drought" is defined by.

– Patrick Artner
Jan 2 at 1:08





It would help if you provided a Minimal, Complete, and Verifiable example that creates exactly the dataframe you are working with - and describe your "expected" output and what a "drought" is defined by.

– Patrick Artner
Jan 2 at 1:08




1




1





There is a comma in your second print statement, right after "Ppt for day 1 :", that looks like a typo and could trigger this error.

– hlg
Jan 2 at 1:42







There is a comma in your second print statement, right after "Ppt for day 1 :", that looks like a typo and could trigger this error.

– hlg
Jan 2 at 1:42














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