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How do I change the xticks on a set boxplot subplots such that it is in words and complete?


How to know/change current directory in Python shell?How to set Python's default version to 3.x on OS X?Subplot for seaborn boxplotRotate xtick labels in seaborn boxplot?Python - How can I find difference between two rows of same column using loop in CSV file?changing xticks and yticksChanging xticks in a pandas plotHow to set title and ylims for subplots in seabornplot changes not affecting all subplotsHow to hide or set location for hvplot subplots title






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How do I change the xticks on a set boxplot subplots such that name appears i.e. 'March' instead of 3.0 and the full year is included even if there are months without data?



I would like to have months in words as the xticks for a whole year, however my data varies in how complete it is i.e. some years have 7/12 months etc.



%matplotlib inline
import matplotlib.pyplot as plt

df['month'] = df.index.month

fig, axes = plt.subplots(3,3, figsize=(15,15)) # create figure and axes

data = df.loc[:, ['scat450', 'scat550', 'scat700','bscat450','bscat550','bscat700', 'p_int', 'T_int', 'RH_int','month']]

varlist = ['scat450', 'scat550', 'scat700','bscat450','bscat550','bscat700', 'p_int', 'T_int', 'RH_int','month']
y_labels = ['Mm-1','Mm-1','Mm-1','Mm-1','Mm-1','Mm-1','mbar','celsius','%']

#Months = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']

df_12hourly = df[varlist].resample('12H').median()

for i,el in enumerate(list(df_12hourly.columns.values)[:-1]):
a = df_12hourly.boxplot(el, by="month", showfliers=False, ax=axes.flatten()[i])
#a.set_xticklabels(df.month, rotation=45 )
#a.xaxis.set_major_formatter(mdates.DateFormatter("%b"))
a.set_ylabel(y_labels[i])
a.set_xlim(0,13)
fig.suptitle(str(year), fontsize=16)









share|improve this question






















  • Rather than integers 1..12 for the df['month'] column, use datetime.datetime values: docs.python.org/3/library/datetime.html#datetime-objects

    – J_H
    Mar 26 at 19:26











  • I added Import calendar df['month'] = df['month'].apply(lambda x: calendar.month_abbr[x]) However, I just get the error message KeyError: 'month'

    – Dominic
    Mar 27 at 9:40

















0















How do I change the xticks on a set boxplot subplots such that name appears i.e. 'March' instead of 3.0 and the full year is included even if there are months without data?



I would like to have months in words as the xticks for a whole year, however my data varies in how complete it is i.e. some years have 7/12 months etc.



%matplotlib inline
import matplotlib.pyplot as plt

df['month'] = df.index.month

fig, axes = plt.subplots(3,3, figsize=(15,15)) # create figure and axes

data = df.loc[:, ['scat450', 'scat550', 'scat700','bscat450','bscat550','bscat700', 'p_int', 'T_int', 'RH_int','month']]

varlist = ['scat450', 'scat550', 'scat700','bscat450','bscat550','bscat700', 'p_int', 'T_int', 'RH_int','month']
y_labels = ['Mm-1','Mm-1','Mm-1','Mm-1','Mm-1','Mm-1','mbar','celsius','%']

#Months = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']

df_12hourly = df[varlist].resample('12H').median()

for i,el in enumerate(list(df_12hourly.columns.values)[:-1]):
a = df_12hourly.boxplot(el, by="month", showfliers=False, ax=axes.flatten()[i])
#a.set_xticklabels(df.month, rotation=45 )
#a.xaxis.set_major_formatter(mdates.DateFormatter("%b"))
a.set_ylabel(y_labels[i])
a.set_xlim(0,13)
fig.suptitle(str(year), fontsize=16)









share|improve this question






















  • Rather than integers 1..12 for the df['month'] column, use datetime.datetime values: docs.python.org/3/library/datetime.html#datetime-objects

    – J_H
    Mar 26 at 19:26











  • I added Import calendar df['month'] = df['month'].apply(lambda x: calendar.month_abbr[x]) However, I just get the error message KeyError: 'month'

    – Dominic
    Mar 27 at 9:40













0












0








0








How do I change the xticks on a set boxplot subplots such that name appears i.e. 'March' instead of 3.0 and the full year is included even if there are months without data?



I would like to have months in words as the xticks for a whole year, however my data varies in how complete it is i.e. some years have 7/12 months etc.



%matplotlib inline
import matplotlib.pyplot as plt

df['month'] = df.index.month

fig, axes = plt.subplots(3,3, figsize=(15,15)) # create figure and axes

data = df.loc[:, ['scat450', 'scat550', 'scat700','bscat450','bscat550','bscat700', 'p_int', 'T_int', 'RH_int','month']]

varlist = ['scat450', 'scat550', 'scat700','bscat450','bscat550','bscat700', 'p_int', 'T_int', 'RH_int','month']
y_labels = ['Mm-1','Mm-1','Mm-1','Mm-1','Mm-1','Mm-1','mbar','celsius','%']

#Months = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']

df_12hourly = df[varlist].resample('12H').median()

for i,el in enumerate(list(df_12hourly.columns.values)[:-1]):
a = df_12hourly.boxplot(el, by="month", showfliers=False, ax=axes.flatten()[i])
#a.set_xticklabels(df.month, rotation=45 )
#a.xaxis.set_major_formatter(mdates.DateFormatter("%b"))
a.set_ylabel(y_labels[i])
a.set_xlim(0,13)
fig.suptitle(str(year), fontsize=16)









share|improve this question














How do I change the xticks on a set boxplot subplots such that name appears i.e. 'March' instead of 3.0 and the full year is included even if there are months without data?



I would like to have months in words as the xticks for a whole year, however my data varies in how complete it is i.e. some years have 7/12 months etc.



%matplotlib inline
import matplotlib.pyplot as plt

df['month'] = df.index.month

fig, axes = plt.subplots(3,3, figsize=(15,15)) # create figure and axes

data = df.loc[:, ['scat450', 'scat550', 'scat700','bscat450','bscat550','bscat700', 'p_int', 'T_int', 'RH_int','month']]

varlist = ['scat450', 'scat550', 'scat700','bscat450','bscat550','bscat700', 'p_int', 'T_int', 'RH_int','month']
y_labels = ['Mm-1','Mm-1','Mm-1','Mm-1','Mm-1','Mm-1','mbar','celsius','%']

#Months = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']

df_12hourly = df[varlist].resample('12H').median()

for i,el in enumerate(list(df_12hourly.columns.values)[:-1]):
a = df_12hourly.boxplot(el, by="month", showfliers=False, ax=axes.flatten()[i])
#a.set_xticklabels(df.month, rotation=45 )
#a.xaxis.set_major_formatter(mdates.DateFormatter("%b"))
a.set_ylabel(y_labels[i])
a.set_xlim(0,13)
fig.suptitle(str(year), fontsize=16)






python-3.x






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Mar 26 at 16:53









DominicDominic

136 bronze badges




136 bronze badges












  • Rather than integers 1..12 for the df['month'] column, use datetime.datetime values: docs.python.org/3/library/datetime.html#datetime-objects

    – J_H
    Mar 26 at 19:26











  • I added Import calendar df['month'] = df['month'].apply(lambda x: calendar.month_abbr[x]) However, I just get the error message KeyError: 'month'

    – Dominic
    Mar 27 at 9:40

















  • Rather than integers 1..12 for the df['month'] column, use datetime.datetime values: docs.python.org/3/library/datetime.html#datetime-objects

    – J_H
    Mar 26 at 19:26











  • I added Import calendar df['month'] = df['month'].apply(lambda x: calendar.month_abbr[x]) However, I just get the error message KeyError: 'month'

    – Dominic
    Mar 27 at 9:40
















Rather than integers 1..12 for the df['month'] column, use datetime.datetime values: docs.python.org/3/library/datetime.html#datetime-objects

– J_H
Mar 26 at 19:26





Rather than integers 1..12 for the df['month'] column, use datetime.datetime values: docs.python.org/3/library/datetime.html#datetime-objects

– J_H
Mar 26 at 19:26













I added Import calendar df['month'] = df['month'].apply(lambda x: calendar.month_abbr[x]) However, I just get the error message KeyError: 'month'

– Dominic
Mar 27 at 9:40





I added Import calendar df['month'] = df['month'].apply(lambda x: calendar.month_abbr[x]) However, I just get the error message KeyError: 'month'

– Dominic
Mar 27 at 9:40












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