Reputation: 807
I have a data frame where there are 5 columns that have comments on different topics. I want to plot the count of all such columns by a target variable team so that I can have a all the plots available at once.
The dataframe looks like this :
Function Accountability Reward Pay Others
Services Abc Abc Abc Abc
Manufacturing . NA NA NA NA
Digital Technology DEF DEF DEF DEF
Services Abc Abc Abc Abc
Manufacturing . NA NA NA NA
Digital Technology DEF DEF DEF DEF
Now there are 2 comments for Services under accountability and so on. So,I want to create multiple plots in one code that shows the count of all the comments by Function. I DO NOT want to have one bar chart that shows everything. I want different bar charts that shows count of each comment column by function separately.
Upvotes: 0
Views: 773
Reputation: 124
Is this what you are looking for ?
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = (15,5)
# Your table has been read to 'df'
df1 = df.drop('Function', axis=1)
plt.subplot(1,3,1)
df1[df.Function == 'Services'].count().plot.bar()
plt.title('Services')
plt.subplot(1,3,2)
df1[df.Function == 'Digital Technology'].count().plot.bar()
plt.title('Digital')
plt.subplot(1,3,3)
df1[df.Function == 'Manufacturing.'].count().plot.bar()
plt.title('Manufacturing')
Upvotes: 2