I have a dataframe with 45 columns (see below). I would like to plot each column as a separate bar graph. I'm very new to Python and can't figure out how to do this. I think the problem might be the way the dataframe is set up with the row names.
V1_category V2_category V3_category V4_category V5_category V6_category
Neutral 78.378378 83.783784 59.459459 27.027027 54.054054 32.432432
Painful 0.000000 0.000000 0.000000 2.702703 2.702703 13.513514
Pleasant8.108108 10.810811 2.702703 16.216216 5.405405 2.702703
Unpleasant13.513514 5.405405 37.837838 54.054054 37.837838 51.351351"
One way could be:
# Import libraries
import pandas as pd
import matplotlib.pyplot as plt
# Create DataFrame
df = pd.DataFrame({
'V1_category': [78.378378,0.0,8.108108,13.513514],
'V2_category': [83.783784,0.0,10.810811,5.405405],
'V3_category': [59.459459,0.0,2.702703,37.837838],
'V4_category': [27.027027,2.702703,16.216216,54.054054],
'V5_category': [54.054054,2.702703,5.405405,37.837838],
'V6_category': [32.432432, 13.513514,2.702703, 51.351351]
}, index = ['Neutral','Painful','Pleasant','Unpleasant']
)
df
# Using pandas 'df.plot'
for col in df.columns:
df[col].plot(kind='bar')
plt.title(col)
plt.show()
Only two plots shown below:
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